No matter what the steps of the claimed method are, but one cannot patent the creating act of C.S. in general and the cybernetic self-portrating act of C.S. in particular in relation to our Evoos or any entity when utilizing our Evoos, whereby we have shown with sufficient depth and detail that they merely reflect some of the foundations of our Evoos and therefore must be an editing of the original and unique, personal expression presented and discussed with our work of art titled Evoos and created by C.S. more than 6 years before its patent application was filed. Therefore, we consider the foundations of that patent (application) as plagiarism and therefore as infringement of the copyright of C.S. and eventually the patent issued on the basis of this patent application as void.
In addition, that GINA looks merely like a known combination of basic software development patterns, such as factory, controller, wrapper, meta, and so on, utilized in object-oriented development and publicated several years before.
In addition, we have here something like a triple store system, which is an older system based on two items or objects and a relation between them, which is a third item or object, and an executable XML. And we also have here the so-called Resource-Oriented Computing (ROC) paradigm also based on our Evoos. Missing was our kernel-less, reflective, and kernel-less reflective triple stores, substrates, fabrics, or computing environments, our Resource Description Framework (RDF) substrate, fabric, or computing environment publicated by an incompetent plagiarist (see the Investigations::Multimedia, AI and KM of the ...), our Web Ontology Language (OWL) substrate, fabric, or computing environment, and our Ontologic paradigm or simply Ontologics, which for example does it without the ballast of XML and in this way leads us back to Evoos and our OS is based on our Evoos. The latter closes any gap and legal loophole for fraudulent entities, that want to continue with the attempt of stealing our AWs and further IPs.
See also the language PROGRES described in the documents titled "Introduction to PROGRES, an Attribute Graph Grammar Based Specification Language" and "PROGRES, A Visual Language and Environment for PROgramming with Graph REwriting Systems", which does it even more foundationally.

Using multi-purpose classes that are designed to implement behavior through collections of configurable, multi-purpose components is considered a very bad system design, because it is difficult or even impossible to make any changes of it due to changed requirements, even and specifically in the case of GIA. Guess why the Object-Oriented (OO 1) and OO programming paradigms have emerged. In case of our Evoos and OS we also have for example a reflective, ontology-based, Ontology-Oriented (OO 2), Ontologic(-Oriented) (OO 3), cognitive system, and the automatic programming, Genetic Programming (GP), and Ontologic Programming (OP) paradigms utilized for the implementation of for example new classes.
Furthermore, as can be seen with the movements in the field of mSOA initiated with our Evoos and the field of DevOps with a continues development process the common approach of what is called here prior art is still prefered by very well known programmers and system experts.

But what we would like to know is how the authors want to

It seems to be that the authors have fallen prey to the triple store system illusion in relation to the first and third questions, and are copying also our OS in relation to the second question (see also the quotes of an online encyclopedia below).
Somehow, we also have the impression, that they did not know at all what they have truly stolen with our Evoos.

We quote the homepage of the website of the company Xslent:
"The primary focus of XSLENT LLC was the development of The Global Information Network Architecture (G.I.N.A.) under Cooperative Research and Development Agreement (CRADA) with the US Navy at the Naval Postgraduate School (NPS) in Monterey CA.
Through this relationship, GINA has been deployed throughout the Dept of Defense for a spectrum of systems which require rapid configuration, processing, and presentation of data from multiple, non integrated, systems.
The most notable deployments were with
[•]NPS Coalition Operating Area Surveillance and Targeting System (COASTS) program exercises.
[•]Integrated Base Operations Center (IBOC) for the US Army Combined Arms Center at Ft Leavenworth KS Garrison.
[•]Rapid Ordering System (ROS) for US Army Corps of Engineers (USACE)
In 2008, the GINA Technology was assigned to Big Kahuna Technologies LLC where it is currently being developed under CRADA with the US Army Corps of Engineers Engineering Research and Development Center."

Comment:
"In 2008 [...] where it is currently being developed" says all.
See also the quotes of an online encyclopedia below, that clearify the timeline of related activities.

We quote the homepage of the website of the company Big Kahuna Technologies:
"Big Kahuna Vision",
"[...] enables the bridging of the symbolic and the connectionist representations of the world through causal-dynamic executable-models. Contextual, causal, behavioral, and adaptive models described using our VRDM methods uniquely make possible the "computational plasticity" required for digital machines to infer, adapt, and control other systems based on the changing context of their operational environment"
"For a machine to learn it must have the ability to calculate across concepts and relationships within the context of the moment and then adapt itself to those changes -- that is uniquely possible with the GINA technology"
"Contextual adaptation of a system requires the ability to process the changing data associated with entities in the context of relationships that exist between entities and between the conceptual models that define them",
"Throughout human history there have been those that were believed to have the ability to speak with God, the gods, or the spirits of the earth. In Hawaiian culture the Kahuna (keeper of the secrets) was seen as one who was capable of understanding the relationships between the spirits of the world, the gods, and humans. Every interaction between people, systems, and things creates new relationships. It is the mission of Big Kahuna Technologies to explore and develop new types of systems that provide the understanding of objects and events from the causal dynamics that exist in the relationships between things, and make accessible to both man and machine the meaning of what things are, what they might have been, and what they could be."

Comment:
There was no ontologics, no spirit, no metaphysical being, and so on at all, but just only a variant of an environment for executable ObjRel models.
In fact, everything related to our OS and presented by that company has been stolen from us. This proves what the true goal and purpose of those two companies truly are and why we call them highly dubious fake companies. It is just one of the common patterns of fraud conducted by federal authorities.
See also the quotes of an online encyclopedia below, that clearify the evolution.

We quote an online encyclopedia about the subject GINA in the first version publicated on the 7th of June 2009:
"The concept for the Global Information Network Architecture (GINA) evolved from a realization that the current technologies provided an unprecedented opportunity to create a useful GIG that could transform the possibilities for Net-Centric Operations. The Global Information Network Architecture (GINA) Team was created in 2004 to address this possibility. Originally developed under Cooperative Research and Development Agreement with The US Naval Postgraduate School (NPS) in Monterey CA, the projects initial title was Network Aware Business Data Management System (NABDMS). From early 2005 to late 2007 NPS jointly developed and tested the first generation of the Global Information Network Architecture (GINA). NABDMS received its DITSCAP Certification as an "Architecture" in July 2005.

Technology
Vector Relational Data Modeling (VRDM)... Modeling Models
First... What IS Modeling?
The dictionary defines modeling as, "The representation, often mathematical, of a process, concept, or operation of a system."
While software modeling languages, such as Unified Modeling Language (UML) or Object Role Modeling (ORM), attempt to provide an iconic representation to articulate the structure or architecture of an application, they are not executable and have limited applicability beyond the software design environment.
[...]
GINA, at a high level, is a model for modeling. Designed to facilitate a principle of development where relationships between objects can be objectified and wielded as objects in their own right, GINA itself is an executable model configured using VRDM.
VRDM is a core concept that is embodied by GINA. GINA could be looked at as an environment that turns collected data into a multi-dimensional object environment with each object being connected to other objects through vectors. This environment makes many of the information-centric tasks that a user might want to perform far easier than any other approach.
A key concept of VRDM is that relationships among information objects should themselves be defined as information objects, and be fully configurable.
Taking relationships and implementing them as GINA objects enables GINA to take configurations and assemble models that can perform most, if not all of the work done by typical hard-coded information applications, such as most enterprise systems, integrations, and information sharing systems.
As a result of VRDM, it is possible to specify an application through describing the required components as a series of objects and their relationships, or vectors. VRDM enables disparate data, from disparate sources to be invoked and configured to relate in a "System of Systems" model called a specification. The behavior of a specification can be the much same as a contemporary application. The difference, however, is that with VRDM, there is no programming. GINA is a true CBOM for Object Modeling, where the models are themselves executable.
Critical to this approach is the concept of Reflexivity, i.e., the GINA model is described as a GINA model, that permits deep configurability. When one is using the interactive development environment used to create GINA applications, one is using a GINA application. More importantly, GINA assembles GINA applications according to a GINA model for GINA applications. Deeper still, the GINA model is itself an example of a GINA model. This deep configurability is the key to GINA's power as interoperability and multi-level security ("MLS") engine.
As a combination of hardware and software-based components, which meets the requirements of a true GIG, GINA is configured as a universal virtual network of data of any type from any source in any location on collected physical networks. GINA is a product of several key concepts which collectively enable it to represent a complete, configurable interoperability environment. These key concepts are embodied in a series of layers and components which collectively allow GINA to perform the types of functions and provide the type of services it needs to be a fully functional interoperability environment.

Core VRDM Concepts
Descriptive Programming
Just as Assembler made machine language programming faster and more accurate, and descriptive languages for specifying procedures ("4GL"s like SQL) made procedural programming faster and more accurate, GINA's VRDM brings a new level of speed and accuracy to object-oriented programming.
In the long run GINA's encapsulation of the management of network-available data may be more important that even its speed and accuracy for large organizations.

Component Objects
With VRDM, Data Agnostic Objects can be created to represent common relationships called Mechanisms. These Mechanisms can be reused and combined with others, new and existing, to create systems and subsystems. This facilitates rapid deployment and non-programmatic implementation.

Complexity
Just as everything in the world is assembled from remarkably few elements, arbitrarily complex systems can be assembled from relatively few objects. The key in both cases is that objects have to be designed for interaction and assembly. GINA is designed in that way. Fundamentally, at the bottom level are very few objects, e.g., objects, or XTypes in VRDM, and relationships between XTypes, or Vectors in VRDM. These objects are the primitives on which the VRDM object management model is based. In turn, instances of these primitives are assembled into the basic building blocks of VRDM: fully defined objects representing XTypes and Vectors, as well as constraints and simple entities. These can then be assembled to fully describe the GINA environment, and to allow the administrator to create the data objects to support a Task Oriented User Interface (TOUI), or a specific application.

WorldSpace
A central concept in GINA is that objects can be referenced in multiple WorldSpaces, depending on how a user gets to that object. A WorldSpace determines the applicability of an object's vectors, e.g. attributes and relationships, when assembled for a particular event or usage. WorldSpaces are inherently hierarchical: as one more tightly defines the WorldSpace associated with an event or usage, the more tightly one must define, and the more granularly one needs to specify associated behaviors.

HyperPlanes
If we look back at the concepts associated with GINA, we could say that an object exists in a 3 dimensional data object space. Its location in that space is defined by its order of complexity, its usage and related components, and the user and WorldSpace in which it is being accessed. At any given time the behavior of a system is dictated by all of its objects locations in this 3-dimensional object-space. However, this behavior is not the same for every user, and is influenced by the characteristics of that user that effectively define hyperplanes in this object space. Thus, the appropriate object model is only summarized in three dimensions, with multiple user-based dimensions of behavior effectively being summarized on this graphic. In effect, at any given time an object exists as a point in 7+ dimensional object behavior space. Remarkably, GINA not only models this space effectively, but does so in an environment where most specifications are created through configuration, not programming.

Directory Sub System (DSS)
GINA is implemented through a software-based, multi-layer, configurable data object management environment. Just as the entirety of GINA can be viewed as a series of well-structured layers, the data object management environment is also structured and layered, with multiple layers of the object management environment corresponding to each of the top three layers in the overall GINA. [...]

Task Oriented User Interface (TOUI)
Another model that has been built in GINA is called the Task-Oriented User Interface, or "TOUI". The current mainstream approach to user interfaces ("UIs") involves a process where a developer "paints", or in some other way creates a mark-up of the UI, and then defines the binding of components of that the UI to the underlying application using some standardized approach. The TOUI model takes a different approach: a UI is assembled at the time of request from components according to a set of vectors that take into the account model states and the user during the assembly process. As a result, the UI no longer represents the application that uses information, but rather becomes the external expression of the information model that represents the application. Moreover, because the definition of the UI is done as a set of metadata-defined GINA components, the expression of those components can be done in any environment that has sufficiently strong semantics for representing applications, whether that is Java, .NET, Python, or even a 3-D visualization environment[,] interfaces, etc."

Comment:
Note the date of publication 2009, which strengthens our allegations (see also the comment to the second quote of an online encyclopedia about the subject GINA below).
Also note once again that a bootable, executable, reflective, flexible, component-based, and specification-based or gene-based system is our Evoos.
Component objects are used in relation to Computer-Aided Software Engineering (CASE) tools for Visual Programming Languages (VPLs) and Rapid Application Development (RAD) for example.
WorldSpace or worldview is a concept of Computer-Aided Design (CAD) applications since the early 1990s or even before. But they are different from n-dimensional data spaces.
There was only the multi-layer logical structuring mechanism, but no hyperplane, which was said due to our n-dimensional OS based on the hypergraph. Note that "a layer is a logical structuring mechanism for the elements that make up [a] software solution, while a tier is a physical structuring mechanism for [a related] system infrastructure".
The concept of TOUI is not new (see for example the documents titled "Oggetto: An Object Oriented Database Layered on a Triple Store", "Desktop Objects Directly Manipulating Data and Metadata" (Oggetto Desktop), and "Interactive Database Objects - Moggetto" (Oggetto with MOG editable widgets)).
Also note the 3-D visualization.

We quote an online encyclopedia about the subject GINA in the actual version publicated on the 22nd of October 2019:
"Global Information Network Architecture (GINA) is a software framework that bridges the symbolic and the connectionist representations of the world through executable conceptual models. Declarative contextual, causal, behavioral, and adaptive models for computational inferencing, analysis, and control can run and adapt based on the changing context of data-in-motion. This patented software technology enables the processing and the orchestration of context and causality for counterfactual analysis, decision support, and learning machines - addressing key roadblocks in the continued evolution of current AI, interoperability, and system-of-systems solutions.
Vector Relational Data Modeling (VRDM) is an object-based modeling language that differs significantly from traditional object-oriented software descriptions. A key goal of VRDM is to enable the definition of executable models. This means that the modeling constructs need to be capable of fully specifying the runtime structure of an application. One way VRDM achieves this is by introducing the notion of a Vector, which allows the participants in object relationships to be determined dynamically, as the model executes. This and the other core object-based constructs that make up the VRDM modeling language are combined through configuration, and not coding, to make possible software applications that are executable models and that are interpreted dynamically, just-in-time, just-in-context, and just-in-state.
The computational model underlying the GINA software was designed to facilitate a new type of Global Information Grid (GIG) for US security and defense Net-Centric Operations. In 2004, The GINA research and development team was convened under a cooperative research and development agreement (CRADA) between the U.S. Naval Postgraduate School (NPS) in Monterey, California and XSLENT LLC. XSLENT LLC contributed the patented executable component based modeling environment technology with NPS providing leadership and implementation sponsorship. The project was called Network Aware Business Data Management System (NABDMS). In late 2008, the United States Army Corps of Engineers (USACE) and the Engineer Research and Development Center (ERDC) began a second phase of the project under CRADA with Big Kahuna Technologies LLC, the current IP holders for the GINA technology. The GINA environment has been implemented to become a High Level Architecture (HLA) for System Fusion Networks (SFN) as an interoperable and multi-level security ("MLS") engine.[1] because it uses Vector Relational Data Modelling (VRDM), a configurable, component based object model (CBOM) for managing data. GINA combines development, control and application. A third phase of the technology's evolution and implementations in support of US national security is underway with a CRADA with the Joint Staff of the Department of Defense for high-priority needs related to integration, system orchestration, sensor fusion, network convergence, cybersecurity, and numerous AI focused initiatives.

GINA Technology Applications

References
1 [...] "The Global Information Network Architecture (GINA) Technology Framework." Naval Postgraduate School, Monterey CA."]

Comment:
The given reference is a hyperlink that eventually leads to the domain ginaos.org, which seems to be an os or even an OS.
Note that the

obviously.
Now, we also have the explanation for our impression that the GIG changed after the publication of our OS.

We quote the document titled "Researchers, commanders partner on potential networking revolution" and publicated on the 31st of October of 2012:
"[...] potential networking revolution [...] "
"[...] "system of systems modeling environment," a digital landscape wherein multiple applications, users and components are able to interact and behave through specified configuration as linked multi-dimensional systems"
"[...] rescue helicopters area able to "speak" to fixed-winged aircraft; that decision makers in tactical operations centers are able to look through the helmet-cameras of rescuers on the ground; and that rescuers are able to share information, intelligence and information feeds from a host of disparate technologies and agencies",
"It brings together unrelated programs, components and data streams in a single architecture allowing for unprecedented levels of interconnectivity and cooperation",
"[...] technology represents both information and relationships among information as objects that may be repurposed to new configurations of systems and system behavior",
"[...] environment is 'agnostic' ... It takes components, programs and technologies and represents them within itself in a manner that is universal within the GINA environment, allowing for previously unseen levels of interoperability",
"[...] describe a platform that would encompass a Global Information Grid (GIG) composed of users, the components that they use, and data. Every user, and every component (cell phone, tablet, computer, even traffic cameras) that is modeled in to GINA becomes a multi-dimensional object in cyberspace",
"[...] emergent capabilities that arise from all of the related components within the executable GINA model are greater than the sum of their individual parts, whether they are new or legacy data systems or sources",
"[...] different systems is that they speak different languages ... GINA does not require the end systems to be modified to talk to them, GINA is built to understand all of the various data inputs or 'anguages' and then creates links and relationships,"",
"As technology continues to evolve so rapidly towards ever-greater complexity, so does the programming that makes it work",
"[...] configured system of systems architecture, not only exposes stove-piped systems in a common, easily understood way, but also uses a universal descriptive metaphor to wire their interactions in a manner that is not only obvious to the user and the developer, but also executable by the computer",
"GINA universe",
"[...] incorporates aspects of cryptology into network capability",
"[...] other initiatives where GINA is a central aspect of the architecture, including interagency emergency response collaboration within Silicon Valley, and an intelligence and information data fusion effort with federal, state and local authorities",
"[...] allows for the interoperability of unrelated systems and advanced decision matrix databases critical to the kind of operations simulated in the Soaring Angel exercise",
"[...] simulating timely responses to encounters with insurgents",
"[...] massive mission critical database, with the ability to access information must faster than separate stove-piped systems",
"Techniques such as game theory can be incorporated into GINA models in order to establish a Nash Equilibrium, or optimal course of action, for everything from enemy actions to mission success and morale",
"[...] make sense, of unique data streams",
"[...] enhances the cognitive toolset for the decision maker",
"[...] enables cognitive enhancement", and
"[...] models can also be built within GINA to answer cognitive questions about weapons systems or approaches to specific problems within the GINA environment".

Comment:
Around the year 2005 and again around the year 2011, they found out what we have truly created with our Evoos and our OS.
Note the use of all the explanations and the new interpretations of the GINA related to multi-dimensionality, cyberspace, universe, cognition, and Question Answering (QA), to continue with stealing the original and unique, personal expressions of our Evoos and OS, as it is proven by a comparison with the content of the patent application quoted above.

We quote the document titled "Better Visibility for Border Security " and publicated on the 1st of February 2013:
"[...] system of systems that draws in information from many stovepiped sources regardless of their coding or programming",
"[...] hybrid methodology that leverages model-based architecture and component-based development",
"System Interoperability for Enabling Smart Mobile System Services in Network Decision Support Systems",
"[...] facilitates extremely rapid development of information, analytical/computational modeling and decision-support systems using model-driven architecture in concert with executable component-based structures that circumvent the need for code generation",
"[...] creating a semantic model of behavior which in turn permits maximum flexibility to accommodate technology and mission changes over the course of development",
"[...] reflexive, executable, component-based, platform agnostic, model-driven architecture, which provides data and information required by the requisite services for smart mobile systems",
"[...] assist with issues such as camera and ground-sensor management",
"[...] allows users to homogenize and create semantic models of all the information",
"Real-time models increase the situational awareness [...]", and
"[...] new information technology that can change the end game for large systems that have all failed to date".

Comment:
A brain works also in this way by drawing in signals from many sources regardless of their structuring or functioning, and a brain-like system, specifically our Evoos, has the ability to draw in information from many sources regardless of their coding or programming.
A brain works also in this way by always working, executing, thinking, and modelling.

We quote the document titled "A dream for GINA: new intelligence technology is being incorporated into warfighting, homeland security, and emergency management missions" and publicated in September or October 2012:
"[...] gain precise situational awareness, rather than accessing huge chunks of intelligence and manually analyzing it [...]", and
"[...] mapping predictive organizational behavior [...]".

Comment:
There were no gain in situational awareness and no predictive whatsoever in GIA and GINA at all.

We quote the document titled "Army researchers demonstrate next-generation information integration platform" and publicated on the 25th of September 2019:
"[...] sensor systems integration to support command and control, or C2, common operating picture technologies needed for decision support",
"[...] individual component of a broader ARL technology package aimed at facilitating both C2 systems interoperability and processing of Internet of Things data at the network edge -- and applied toward ingest and processing of data from a collection of commercial IoT sensors operating under a set of use cases, including perimeter monitoring of installations and vehicle tracking",
"Data from the IoT sensors was transmitted using long-range wide area network",
"GINA software was installed and run on a virtual machine hosted on an ARL server",
"Once ingested and processed by GINA, IoT data derived from the LoRaWAN gateway would be forwarded to the RaptorX common operating picture software for review by the staff located remotely at Fort Hamilton, New York -- communications between the mobile TOC and Fort Hamilton were facilitated through LTE-based connectivity",
"GINA's core capabilities for networking, data integration and system interoperability using commercial IoT sensor technologies assembled and tested in-house and sensor data generated by other sensing technologies brought to the event by collaborating groups [Our OntoCore (OC) software component is a capability-based system for everything.]",
"[...] able to relay successfully the LoRaWAN-based data to RaptorX, a military geographic information system designed to support visualization of real-time sensor feeds to support real-time review of the IoT",
"[...] creators of the GINA technology",
"[...] unique technology",
"[...] extensible integration and interoperability, as well as unique capabilities for contextual, causal and behavioral analytics represents a game-changer as we seek to advance joint efforts to integrate and leverage new Artificial Intelligence technologies to solve our future 'hard problems'",
"[...] unique methodology for integration, orchestration, and cognitive model-execution for decision support models", and
"[...] data analytics extensions, as well as integration of multiple heterogeneous data streams through simulated tactical scenarios".

Comment:
The field of Cyber-Physical System (CPS) and Networked Embedded System (NES) were no topics and focus at all, and only some few rudimentary connections to the field of Ubiquitous Computing (UbiC) and Internet of Things (IoT) (RFID) existed.
The fields of Business Intelligence (BI), Visualization, and Analytics (BIVA), and Data Science and Analytics (DSA) were also no topics and focus at all.

All these features of GINA listed above did not exist before the publicaton of our OS to give some few but already sufficient examples.
We also have shown that GINA is only

Some missing items and fields not covered by stolen art, which were also listed in relation to the other cases of investigations (see also the Clarification or Investigations::Multimedia, AI and KM of the 10th of October 2020):

• statistical learning and analysis,
• data mining,
• Big Data Fusion (BDF),
• Big Data Processing (BDP), and
• Big Data Analytics (BDA),

But only

But

already come from our Evoos and one can see now how they tried to steal it.

It is about the Global Information Grid (GIG), the LandWarNet (LWN) respectively the Future Combat Systems (FCS) Brigade Combat Team (BCT) Network, and the Systems Of Systems Common Operating Environment (SOSCOE), which was merely another vision besides CALO and PAL based on spying out our research and development activities at that time.
But we also found out very quickly that they had no clue what to do ("Between 1995 and 2009, $32 billion was expended on programs such as this [FCS], with little to show for it.") and in case they knew what to do then they had no clue how to do it (document titled "Global Information Grid (GIG) Overarching Policy" and publicated 2002).
We also noted that they could not get around our Evoos.
We also saw directly, that the operational foundation, Mediated Reality (MedR) (e.g. AR, VR, and MR), and much of SB were missing with everything including Internet, WWW, SOx, Ubiquitous Computing (UbiC) (e.g. IoT), grid computing, SWWW, GIG, and so much more. The simple solution is the OS based on Evoos.
Also interesting is the fact, that some patents were filed in June 2006, but then nothing happened until around November 2009, and again around the years 2011 and 2019. Obviously, we gave them nothing more to steal.

Keep in mind that our brain-like Evolutionary operating system (Evoos) is from December 1999 and

existed all before GINA. See the webpages Overview and Links to Software of the website of OntoLinux for the referenced fields and most of the referenced works.
This means, that

Furthermore, since the October 2006 the fake companies Xslent and Big Kahuna Technologies together with the U.S.DoD are trying to reinterpret that NABDBMS and GIA as GINA by taking our Ontologic System (OS) and in this way our Evoos as source of inspiration and blueprint once again. This constitutes multiple infringements of the rights of C.S. and our corporation, specifically the infringement of our copyright for the original and unique expressions of our Evoos and our OS, that are addressed verses to GINA.
In fact, there was not much.

The situation is the same like in the cases of for example

• microService-Oriented Architecture (mSOA) (see the Clarification of the ... and Investigations:: ... of the ...),
• Service-Oriented Programming (e.g. SORCER) (see the Clarification of the ... and Investigations:: ... of the ...),
• Service-Oriented Infrastructure (SOI) (see the Clarification or Investigations::Multimedia, AI and KM of the 10th of October 2020),
• service orchestration (see the Clarification of the ... and Investigations:: ... of the ...),

• Software-Defined Networking (SDN), SD-WAN, ...,
• Network Function Virtualization (NFV) and Virtualized Network Function (VNF),
• Cloud-native Network Function (CNF),
• Software-Defined Infrastructure (SDI),

One can also make the observation that at the same time or in the same periode of time, and without any Teaching, Suggestion, and Motivation (TSM) a NABDMS and an XML processing engine, and also the fields of SOx and grid computing have suddenly become such totally different computing and networking paradigms, technologies (including systems), and environments with GIA and ROC, and also mSOA and SOProgramming, containerization, service orchestration, and cloud computing, which all have the related foundational and characteristic properties of our Evoos. This shows that they all have a common source of inspiration and denominator, as described by others and us with a black hole, but have the foundational and characteristic properties of our Evoos in common respectively taken as blueprint.
The same holds for the projects GIG (envisioned on the 22nd of September 1999), GIG Enterprise Services (ES), and FCS (document titled "FCS White Paper: Systems Overview" and publicated in April 2008) and also the operational framework NetOps (document titled "Joint Concept of Operations (CONOPS) for Global Information Grid (GIG) NetOps Version 3" and dated 4th of August 2006) and the architecture framework DoDAF, which have suddenly become GIG Enterprise Management (GEM), GIG Net Assurance (GNA), and GIG Content Management (GCM) (document titled "NetOps for the Global Information Grid (GIG)" and dated 19th of December 2008), and also GIG 2.0, Joint Enterprise Defense Infrastructure (JEDI), as well as DoDAF 2.0 based on our OS.
By the way: The NetOps for GIG is dated December 2008 and the GINA was referenced on a webpage of an online encyclopedia about the subject NetOps in December 2009, which matches our observations, impressions, allegations, and claims documented herein, specifically in relation to the company Big Kahuna Technologies.

Eventually, no sufficient prior art has been presented in relation to the

but significant evidence, which

One can even see how the responsible entities have tried to present a system, that would not infringe our rights, by presenting nothing related to an operating system, virtual machine, and so on, and only used the term reflexive but not the term reflective.
But the

In the last 10 months, we

• computing and networking in general, and
• operating system (os or OpS), Information System (IS), what is wrongly called Grid, Cloud, Edge, and Fog Computing (GCEFC), and so on in particular.

If a federal entity wants to perform and reproduce our OS, including our Evoos and our Ontoscope, then it has to sign our out-of-court agreement, which demands to

03.November.2020

Ontonics Further steps

We have designed another variant of one of our electric energy storage devices, which might be more advantageous in practice than other variants.

04.November.2020

Ontonics Further steps

We have developed another variant of one of our electric energy storage devices, which is highly interesting and elegant, might be more advantageous in practice than other variants, and has the potential to become a standard in related fields.

06.November.2020

Ontonics Further steps

We have improved a subsystem to make an overall system (much) more effective.

09.November.2020

Ontonics Further steps

We do have to apologize for inflicting some confusion, when we made the statement in the issue Ontonics Superstructure #23 of the 19th of October 2020 that "fusion energy [...] will be added when it is ready in 5 years", because it also reflects the running gag in this technological field that the realization of fusion-based power generation is always said to be only 5 years away.
But in fact, we wanted to say that our fusion-based technologies and their various utilizations will be ready for the market introduction in 5 years, because they are already here since more than 3 years, as our latest review confirmed once again, which also confirmed their effectivity, including cost effectiveness, efficiency, safety, and scalabiltiy.

Due to this state of maturity we also founded our new Society for Fusion Utilization and Generation (SFUG) (see the related issue SFUG #1 of today below).
Entities, specifically governments and industrial companies, have to

to be eligible for legal utilization of any AWs and further IPs included in the oeuvre of C.S. and the legal scope of our corporation.

Also note, that we

• Superunicorns™ of our OntoLab Vision Funds™ and
• Superbolts™ of our Blitz Funds™

set up and managed by our HighTech Office Ontonics, and

• utilization of our fusion-based technologies in particular and
• performance and reproduction of the oeuvre of C.S. in general.

Society for Fusion Utilization and Generation (SFUG) #1

We are pleased to announce the start of our collecting and managing society titled Society for Fusion Utilization and Generation (SFUG) for handling the the work of art series fusion power and the included artworks based on fusion, as well as controlling and managing their performance and reproduction as fusion-based technologies, goods, and services.

Ontonics Superstructure #24

Our Weather Control System (WCS) is a

Further single solutions are the

• Hoverland and
• Hovercity,

and

In the last past, we already focused on another single solution as well, which is also some kind of a grid, structure, or network comprising WC stations as basic elements, but pursues several different goals and accordingly has different related properties and functionalities and also smaller dimensions.

For sure, when realizing our Weather Control System (WCS), then the urgency and the efficiency are main factors to be considered, but also the locations, the economics, and the many other aspects, which are external to these activities.
At this planning stage, we had to focus on details of this smaller single solution related to its

Like with other parts of our WCS, we estimated that each WC station costs around 2 million U.S. Dollar without the other parts and the first deployment should comprise 10000 WC stations of this type as initial contingent for a total of 20 billion U.S. Dollar, and increase the number to 100000 stations for a total of 200 billion U.S. Dollar.

Style of Speed Further steps

We reviewed our propulsion systems based on our real fusion reactor, specifically our highly performant and efficient real

• fusion rocket engines, incuding
  • conventional rocket engines,
  • air-augmented rocket engines, and
  • air-breathing rocket engines,

  and

• fusion-electric propulsion systems,

and

• fusion rocket engines,
• plasma jets,
• plasma propulsion engines, and
• ion drives.

The question is now if we already install one of these fusion-based propulsion systems in our first spaceship in addition to our Hover technologies for Vertical Take-Off and Landing (VTOL) capability or not. Why not? :D

10.November.2020

Ontonics Further steps

We looked at a different variant of a component, which is utilized for one of our technologies or even might be a different basic variant of it and seems to provide a superior performance for specific areas of application in comparison to what is respectively was before state of the art.
We also worked on the improvement of systems based on this technology and this component, which showed to be more crucial and complex.

13.November.2020

15.November.2020

16.November.2020

Ontonics Superstructure #25

In the following, we give a summary about the layers or spaces and their altitude classifications of our Superstructure:

• above 35786 km: High Earth Orbit (HEO) satellites and platform stations
• 35786 km: Geosynchronous Orbit (GEO) satellites and platform stations
• 2000 km to 35786 km: Medium Earth Orbit (MEO) satellites and platform stations
• 450 to 2000 km: Low Earth Orbit (LEO) satellites and platform stations
• 180 to 450 km: Very Low Earth Orbit (VLEO) satellites and platform stations

• 40 to 180 km: High-Altitude Pseudo-Satellites or High-Altitude Platform Stations (HAPSs)
• 17 over 22 to 40 km: Hover Stations and Medium -Altitude Pseudo-Satellites or Medium-Altitude Platform Stations (MAPSs)

• 0 to 5000 m: Hover Stations and Low-Altitude Pseudo-Satellites or Low-Altitude Platform Stations (LAPSs)
• 0 to 1000 m: Weather Control (WC) base stations

Obviously, our Superstructure is a computer-, network-, data-, information-, and leader-centric and -enabled technology with a Network Operations (NetOps) operational framework, which provides Situational Awareness (SA), and Command and Control (C2), Communication, and Computer and Intelligence (C4I), and also as a Service (aaS) capability models and operational models, and many other properties, functionalities, and benefits. The latter shows once again that its foundation is our Ontologic System (OS) (see also the section Legal matter [Infrastructure] of the issue SOPR #300 of the 10th of September 2020).

We also made some calculations related to the grid, structure, or network of Weather Control (WC) stations, which are of the smaller type and are arranged in a grid of

If the grid, structure, or network is arranged in squares, then one requires around

In this case we would need 200000 stations of this type and not the 100000 stations, as estimated before.
In this relation, we also have to note that in some areas such a dense arrangement is not needed (e.g. high mountain ranges), while in some other areas a denser arrangement is needed (e.g. urban areas).

If the grid, structure, or network is arranged in hexagons, then one requires around

In this case we would have more than 20000 stations of the estimated 100000 stations left for areas, which need a higher density, and also a match with our OntoGlobe and OntoEarth software components (see the OntoLix and OntoLinux Website update of the 21st of August 2017 and also the issues Ontonics Superstructure #13 of the 7th of August 2017 and #16 of the 15th of August 2017 referenced therein).

Furthermore, other parts of our 3D infrastructure Superstructure should be able to compensate reduced features and functionalities in areas with a thinner arrangement or for other local reasons.

Join the bright side of the force. Become a member of our societies, associations, and team of winners.

17.November.2020

Ontonics Further steps

In case that antitrust actions of the company Facebook, we would like to express our interest for the takeover of it subsidiary Instagram and make our usual takeover bid about

with

Though the companies Twitter and Snapchat are first in the queue of potential takeovers.

In case of the aerospace company The Boeing Company we got no clear signal and for sure no definite commitment in relation to a (potential) takeover of it by a business division of our corporation, but instead we got the impression of a negative attitude on the part of its management.
To make the situation crystal clear: Boeing

Due to these reasons we have developed highly interesting and effective alternatives, which means we have the options to

18.November.2020

21:34, 22:19 and 23:55 UTC+1
Ontonics Further steps

After several state and federal governments have set due dates, from when the sale of automobiles without an electrified propulsion system is banned and also excluded any innovations in other Clean and Green™ systems in this way, it should be no magic to predict that the number of electric and hybrid cars will increase correspondingly.
But a situation is emerging in the U.S.America, U.K., member states of the European Union, and other countries, in which electromobility is doomed to fail without hightech, because

We anticipated and solved this problem with our new electric energy storage technologies as well, for example with our related

whose use is essential for

But we also anticipated and solved another huge known problem with all ordinary batteries. We quote a related report: "How long does the battery last?
Once again, this depends on how you look after it.
Most electric car batteries are lithium-based, just like the battery in your mobile phone Ontoscope. Like your phone Ontoscope battery, the one in your car will degrade over time. What that means is it won't hold the charge for so long and the range will reduce."
This means that after 4 years the range will inevitably reduce and after 10 years such batteries are electric waste or electroscrap.
Indeed, some magic has been announced in relation to a battery configuration, that lasts 1 million miles by one battery manufacturer and two automobile manufacturers, but this more durable battery configuration lacks increased capacity, or being precise specific energy with around 260 to 360 Wh/kg and has to prove its quantities and qualities in practice at first.
But with our electric energy storage technology there is neither such a degradation nor a problem with waste and recycling at all.

20.November.2020

19:36 and 19:42 UTC+1
Ontonics Further steps

In relation to one of our technologies we have created a foundational concept and a related conceptual model, but not a design.
We also made several improvements to this concept and its conceptual model (see for example the Further steps of the 22nd of August 2015 and 22nd of November 2017). But only by happenstance we made a step concering this improvement today that resulted not only in one of the potential designs of this technology, but also in a highly elegant foundational design and various variants of it.
Even better, we are also working on scaling up and down our technology. Specifically the downsizing is particularly interesting and fascinating, because it would allow relatively small versions, which experts, who all still have problems with the basics of this technology, consider such a realization impossible.

We also added another component to the conceptual model, but this might exclude another component and therefore would result in a new conceptually model.
Despite that we might have 2 different working designs and sysetes, which taken alone are both revolutionary, it would be even more advantageous, if both components could be integrated in one thing.

While writing this message, we also made two improvements to two other technologies, which should increase their efficiency and performance.

We love it to observe when things begin to move, run, improve, and evolve.

21.November.2020

King Smiley Further steps

Out of interest, we have looked at the Santa Maria degli Angeli complex on the 15th of November 2020 and today. As we said before, the inclusion of the church and the second cloister is obvious, as is the case with some of the other buildings. But a look at its floor plan shows that the first and thrid cloisters, virtually the whole second connecting building between the first and third cloisters, the end section of a first connecting building in the proximity of the rotonda, and the building between the second cloister and the rotonda are not included.
But we would like to get the whole building complex even if we would have to construct a new building complex at another location as replacement for the current users or tenants, for example the university.

24.November.2020

OntoLab Further steps

What a success once again: Our OntoLab is now the undeniable #1 research laboratory worldwide without copying and stealing like the rest.

The first seven OntoLab derivates have been founded with an Institute for Artificial Intelligence and Fundamental Interactions at the Massachusetts Institue of Technology, Massachusetts, U.S.America, and with 6 other institutes as part of an effort and with the support of the National Science Foundation and the U.S.American Department of Agriculture.

Today we got undeniable evidences proving that our original and unique Caliber/Calibre included in our Ontologic System (OS) and connected to the fields of

(see also our Evolutionary operating system (Evoos) described in The Proposal and included in our (OS)), as well as our original and unique

is becoming or already has become the accepted Theory of Everything (ToE).

We have nothing less expected otherwise.

By the way:

05:00, 14:55, 17:38, and 18:37 UTC+2
SOPR #307

*** Sketching mode ***
Topics
This issue is a summary of aufgearbeiteter notes publicated in the last days and some more information related to the following topics:

Legal matter [Antitrust]
Any change of an antitrust law give us the right and opportunity to renegotiate the terms and conditions of the related legal matter, specifically

Legal matter [Blacklist]
We noticed that contracts of companies include a non-compete clause, which lists restricted parties with which a business partner is not allowed to do business.
In fact, we thought about such a list and put every entity on it, that performs and reproduces our AWs and further IPs, but refuses to sign our out-of-court agreement and become a member and licensee of our SOPR. But we we have discarded this possibility, because we thought such an action would be illegal, specifically for a large company or another entity with a certain market power.

Legal matter [Licensing of further Intellectual Properties (IPs)]
{This is a temporary section for the readers interested in this matter.}
In the issue #306 of the 26th of October 2020 we are short of finishing this topic. Important to note are the

Digital rights [Data protection and data security]
We would like to give the recommendations to

in case of data protection or privacy, and data security, because it is already sufficiently simple for law enforcement to get access.

We would also like to make the suggestions
as more personal the information as more increased legal requirements and regulations
as more often request for personal information as more increased legal requirements

{please note only ideation here}
As always said, we use both centralized and decentralized approaches, concepts, and solutions.
data have been collected, are being collected, and will be collect
keep the data storages separated
on the individual device respectively Ontoscope and cybernetical extension, extended brain of a user

We will look on the solutions of the countries Danish, Finish, and other countries, the ontologies, and the data models, and provide a general solution as part of the related subsystems and platforms, applications, and services of the infrastructure of our SOPR.

Infrastructure
Obviously, our Ontologic System is also a computer-, network-, data-, information-, and leader-centric and -enabled technology with a Network Operations (NetOps) operational framework, which provides Situational Awareness (SA), and Command and Control (C2), Communication, and Computer and Intelligence (C4I), and also as a Service (aaS) capability models and operational models, and many other properties, functionalities, and benefits (see the section Legal matter [Infrastructure] of the issue SOPR #300 of the 10th of September 2020 and also issue Ontonics Superstructure #25 of the 16th of November 2020).
For non-experts we would like to give the explanation that we have built at least the Global Information Grid (GIG) 2.0 and 3.0, which include the LandWarNet (LWN) respectively the Future Combat Systems (FCS) network and its successor the Brigade Combot Team (BCT) Modernization program as the combination of what is on top and inside of the GIG's inner cylinder, of the United States Department of Defence (USDoD) and the United States Armed Forces, specifically the United States Navy and the United States Army, as part of our Ontologic System.
But more importantly to note is the point that we adapted the military goals, uses, and benefits for the civil goals, uses, and benefits.

The FCS BCT integrated network is structured in the 5 layers

and is able to process, secure, and exchange information via the GIG across all echelons, which in case of our OS are the 6 rings and related ID spaces and universes of the management hypergraph structure of our ON, OW, and OV.

We also added

• AI,
• ML,
• CV,
• CAS,
• etc.,

• smart contract technique,
• blockchain technique, and ,
• Distributed Ledger Technology (DLT),
• etc.,

• operational SoftBionic NetOps,
• developmental SoftBionic DevOps,
• transportational SoftBionic Service Operations (ServOps),
• etc.,

with our Ontologic System (OS) and our Ontoscope (Os), and also our further Intellectual Properties (IPs).
Correspondingly, the infrastructure of our SOPR includes related facilities, subysystems and platforms, goods, and services, such as for example the

• Air Traffic Management (ATM) System (ATMS),
• Air Traffic Control (ATC) System (ATCS),
• Airline Operational Control (AOC) System (AOCS),
• L-band Digital Aeronautical Communications System (LDACS),
• Unmanned Aircraft System (UAS) Traffic Management (UTM) System (UTMS),

IDentity and Access Management System (IDAMS)
In the last days, one of the 26 member airlines of the Star Alliance global airline alliance has introduced the IDentity and Access Management System (IDAMS) with biometric functionalities like for example biometric authentication as a form of identification and access control of the alliance, which is called Star Alliance Biometrics.

For data protection reasons, the IDAMS of Star Alliance is separated from the IDAMS of the federal border control and it is not intended to connect both systems. But the IDAMS of Star Alliance will also be used for security checks at airports, among other things, and these are mandatory by law.
The latter also shows that the airlines and airports are conducting federal tasks in a public environment.

If an entity wants to operate an own public IDentity and Access Management System (IDAMS), then it has to do this on its own premises with an own network (e.g. Virtual Private Network (VPN)) respectively with on-premises software, but without an external Grid, Cloud, Edge, and Fog Computing (GCEFC) provider or other service provider, specifically without off-premises software. Otherwise, the use of our IDAMS of our Society for Ontological Performance and Reproduction (SOPR) is mandatory.
The latter does not mean that IDAMSubsystems are connected.

Furthermore, if our Ontologic System Components (OSC) and Ontoscope Components (OsC), and Ontologic Applications and Ontologic Services (OAOS) are performed and reproduced, then the

are mandatory.

Electronic Government [Digital citizen account]
The subject matter was also discussed in the section Digital rights [Blanket data retention] of the issue #305 of the 18th of October 2020
We looked at various services of public authorities, that are connected with a digital citizen account, such as for example the

problematic are the

Essential for all these problems of data protection or privacy, and data security is always the right to access. Therefore, multilevel, military-graded IDentity and Access Management System (IDAMS) with biometric functionalities like for example biometric authentication as a form of identification and access control for all personnel with rights for data access.

Electronic Government [Digital election]
Another field where the digitalization shows substantial solutions, benefits, and advantages for societies, but also foundational problems, deficits, and disadvantages is the conduction of elections.
Nothing is more urgent in a modern society than making sure elections work, because everything else a government can do depends on that.

Some general requirements to provide election results everyone can trust in:

adoption of these standards for registration, data exchange, maintenance

Social and Societal System (SSS)
A provider of a social media and short messaging platform proposed that companies should provide a

We find the proposal quite interesting. While the first two points should be a matter of course for sincere service providers, the third point would even allow a user to select an algorithm for a social media platform individually on the basis of our OS, with its Ontologic Net (ON), Ontologic Web (OW), and Ontologic uniVerse (OV), and in a way similar like it is already done with the so-called cookies of websites.
Luckily, our SOPR has already prepared everything that is needed with its regulations concerning the

By the way, trading raw signals and data, informations, knowledge, models, and algorithms on the MfE is exclusive due to the societal compromise for opening our OS and allowing and licensing the performance and reprodcution of certain parts of our OS, including the foundational hardware and software components, applications, and services, to the worldwide public.

Theory of Everything System (ToES)
We added a new subsystem based on our original and unique Caliber/Calibre which

• Algorithmic Information Theory (AIT),
• classical or conventional computing and quantum computing, and also
• SoftBionics (SB)

  (see also our Evolutionary operating system (Evoos) described in The Proposal and included in our OS) as well as our original and unique

• Bridge from Natural Intelligence to Artificial Intelligence

is becoming or already has become the accepted Theory of Everything (ToE).

Like with for example digital maps and Mediated Reality (MedR) environments based on our Ontologic System (OS) and our Ontoscope (Os), our new Theory of Everything System (ToES) is the place of authority where related technologies, goods, and services, as well as models and algorithms have to be hooked in and galvanized. Everything else is considered an infringement of our copyright excluively managed and exploited by our SOPR.

25.November.2020

Ontonics Further steps

Due to our many outstanding creations and achievements, we have just forgotten to inform our fans and readers that we had achieved just another breakthrough in a relation to a technology while cleaning up our archive. How can one be so forgetful? :D
Howsoever, this developmental step

27.November.2020

Ontonics Further steps

We developed two variants of a technology and a third variant, which is the integration of the first two ones. The results should be improvements of the initial variant of the related technology.

29.November.2020

Ontonics Further steps

We developed another way of utilization of a technology, which should have some advantages in comparisons to similar technologies utilized in the same way.

Even more important to note is our further development of these technologies and some related technologies and also our improvements of them to a complete system, which has the potential to start the next revolution of us.

30.November.2020

07:20, 09:02, and 21:21 UTC+1
Ontonics Further steps

To get a first and very reduced impression about

see for example the graphics