Symbiosis of Real and Simulated Worlds Under Spatial Grasp Technology (Studies in Systems, Decision and Control, 354)

Preface
Acknowledgements
Contents
1 Introduction
	1.1 The Book Orientation and History
	1.2 How the Book Is Organized
	References
2 Spatial Grasp Model and Technology
	2.1 Introduction
	2.2 Spatial Grasp Technology Basics
		2.2.1 General SGT Idea
		2.2.2 Spatial Grasp Language Features
		2.2.3 SGL Main Elements
		2.2.4 More SGL Details
	2.3 SGL Distributed Interpretation Basics
		2.3.1 Organization of the Networked Interpretation
		2.3.2 Data Structures of the Interpreter
		2.3.3 Functional Processors of the Interpreter
		2.3.4 Tracks-Based Distributed Command and Control
	2.4 Conclusion
	References
3 Spatial Grasp Language (SGL)
	3.1 Introduction
	3.2 Full SGL Syntax and Main Constructs
	3.3 SGL Top Level
	3.4 SGL Constants
		3.4.1 Information
		3.4.2 Physical Matter
		3.4.3 Custom Constants
		3.4.4 Special Constants
		3.4.5 Compound Constants, or Grasps
	3.5 SGL Variables
		3.5.1 Global Variables
		3.5.2 Heritable Variables
		3.5.3 Frontal Variables
		3.5.4 Nodal Variables
		3.5.5 Environmental Variables
	3.6 SGL Rules
		3.6.1 Type
		3.6.2 Usage
		3.6.3 Movement
		3.6.4 Creation
		3.6.5 Echoing
		3.6.6 Verification
		3.6.7 Assignment
		3.6.8 Advancement
		3.6.9 Branching
		3.6.10 Transference
		3.6.11 Exchange
		3.6.12 Timing
		3.6.13 Qualification
		3.6.14 Grasping
	3.7 Possible Scenario Simplifications
	3.8 Elementary Programming Examples in SGL
	3.9 Conclusion
	References
4 Symbiosis of Different Worlds in SGT
	4.1 Introduction
	4.2 Spatial Grasp Technology Basics
	4.3 Pure World Types and Their Management
		4.3.1 Dealing with Physical World
		4.3.2 Dealing with Virtual World
		4.3.3 Managing Executive Worlds
	4.4 Combined World Types
		4.4.1 Physical-Virtual
		4.4.2 Executive-Physical
		4.4.3 Executive-Virtual
		4.4.4 Executive-Physical-Virtual
	4.5 Node Type Reductions
	4.6 Modes: Usual, Real, Simulate
		4.6.1 Different Modes Semantics
		4.6.2 Using Fluent Symbiotic Example
	4.7 Conclusion
	References
5 Global Network Management Under Spatial Grasp Paradigm
	5.1 Introduction
	5.2 Spatial Grasp Technology Basics
	5.3 Creation and Growth of Business Networks
		5.3.1 Top Level Network Creation
		5.3.2 Hierarchical Network Evolution and Growth
		5.3.3 Appearance of Additional Inter-Node Relations
		5.3.4 Further Network Growth
	5.4 Parallel Creation of Arbitrary Network
	5.5 Network Pattern Matching with Constant Patterns
		5.5.1 Examples of Particular Patterns and Their Matches
		5.5.2 Dealing with Arbitrary Patterns
	5.6 Using Graph Patterns with Variables
		5.6.1 Patterns with Variables in Nodes Only
		5.6.2 Arbitrary Graph Patterns with Variables in Both Nodes and Links
		5.6.3 Patterns with Variable Structures
	5.7 Examples of Global Network Dynamics
		5.7.1 Shrinking Networks
		5.7.2 Expanding Networks
	5.8 Conclusions
	References
6 Simulating Distributed and Global Consciousness Under SGT
	6.1 Introduction
	6.2 Spatial Grasp Technology Basics
	6.3 Collective Randomized Movement of Two Opposing Swarms
	6.4 Providing Global Awareness to the Swarm Operation
	6.5 Migrating Consciousness Based on Global Awareness
	6.6 Providing External Super-Consciousness
	6.7 Conclusions
	References
7 Fighting Global Viruses Under SGT
	7.1 Introduction
	7.2 Spatial Grasp Technology Basics
	7.3 Tracing Virus Source via Infected Predecessors in Networks
	7.4 Finding Probable Virus Source via Infection Time in Nodes
	7.5 Finding Virus Source on Intersection of Shortest Path Trees from Selected Nodes
	7.6 Massive Spread of Coronavirus and Its Possible Simulation with SGT
	7.7 Distribution and Influence of Antivirus Vaccine
	7.8 Conclusions
	References
8 Decision-Centric and Mosaic-Based Organizations Under SGT
	8.1 Introduction
	8.2 Spatial Grasp Technology Basics
	8.3 Decision-Centric Organizations and Their Mosaic-Based System Support
	8.4 The DARPA Mosaic Warfare Concept
	8.5 SGT-Based Distributed Mosaic Simulation
		8.5.1 Networked Representation of Mosaic Space
		8.5.2 Grouping of Particular Type Neighboring Elements
		8.5.3 Collective Surrounding and Impacting of a Danger Element
		8.5.4 More Realistic Links Between Mosaic Tiles
	8.6 Swarm Against Swarm Aerial Scenario
	8.7 Tracing Complexly Moving Objects in Mosaic Organizations
		8.7.1 Tracing by Ground-Based Sensors
		8.7.2 Tracing Hypersonic Gliders by Networked Satellites
	8.8 Using Virtual Object Copies for Effective Matching of Moving Space Objects
	8.9 Distributed Platoon Management
		8.9.1 Regular Management Starting from Platoon’s Head
		8.9.2 Management of a Fragmented Platoon
	8.10 Summary of Decision-Centric and Mosaic-Based Approaches under SGT
	References
9 Conclusions
	9.1 Main Book Achievements
	9.2 Technology Implementation and Plans for the Future
	References