Situational Modeling Definitions Awareness Simulation 1st Edition by Alexander Fridman 8886977257 9798886977257

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ISBN 10: 8886977257
ISBN 13: 9798886977257
Author: Alexander Fridman

This book introduces a methodology of situational modeling and control for discrete spatial dynamic systems based on thorough implementation of situational control by D. A. Pospelov and the theory of hierarchical systems by M.D. Mesarovic. This methodology provides flexible intelligent analysis and structural synthesis of such systems, including searches for “bottlenecks” in their structure that can cause the most harmful losses in emergencies.

Situational Modeling: Definitions, Awareness, Simulation 1st Table of contents:

Chapter 1 State of the Art in Organizing and Conducting Computer Modeling
1.1. Introduction to Chapter 1
1.2. Structures and Features of Modeling Systems
1.3. Conceptual Models and Their Applications in Modeling
1.3.1. Technologies to Automate Development of Application Packages
1.3.1.1. Computational Models
1.3.1.2. ∑--technology
1.3.2. Conceptual Modeling of Information Systems
1.4. Modeling of Situations in Managing Dynamic Objects
1.4.1. Main Characteristics of Semiotic Models
1.4.2. Situation Processing Tasks
1.4.3. Generalization by Properties
1.4.4. Generalization by Structures
1.4.5. Decision-Making
1.5. Modeling Technologies
1.5.1. System Structured Analysis
1.5.2. Basics of Simulation
1.5.3. Object-Oriented Technologies
1.6. Methodological Problems of Risk Analysis in Complex Systems
1.6.1. Probabilistic and Statistical Methods
1.6.2. Logical-Probabilistic Methods of Analysis
1.6.3. Analysis of Multi-Scale Events Based on Self-Similarity
1.6.4. Fuzzy Set Method
1.6.5. Chaos Theory, Catastrophe Theory (Synergetics or Non-Linear Dynamics)
1.6.6. Possibilities for Integrating Risk Analysis Methods
Conclusion for Chapter 1
Chapter 2 Development of a Conceptual Model of INCs
2.1. Introduction to Chapter 2
2.2. Parameterization of the Conceptual Model of INCs
2.2.1. General Characteristics of SDCM Elements and Their Interconnections
2.2.2. Main Components of the INC SCM
2.2.3. Designing the SDCM Scheme
2.2.4. Models of Resources and Executors of Elements
2.2.5. Conceptual Models of the SMS Subsystems
2.3. Consistency and Solvability Analysis in the SDCM
2.3.1. Control of Adequacy, Coherence and Logical Correctness of the SDCM
2.3.2. Solvability Analysis of the SDCM
2.4. Extensions of the INC SDCM
2.4.1. Synchronization of Structures for an SDCM and DB in the SMS
2.4.2. Evaluation of Structure Options for an INC According to Criteria of Reliability and Safety of
2.4.2.1. LPM for Studying Reliability and Safety of Structurally Complex Systems
2.4.2.2. System Reliability Modeling in the SMS
2.4.2.3. System Safety Modeling
Conclusion for Chapter 2
Chapter 3 Handling Situations in INCs Modeling
3.1. Introduction to Chapter 3
3.2. Conceptual Model of Situations in the SMS
3.2.1. Basic Concepts and Definitions
3.2.2. Usage of the SMS ES for Handling Situations
3.2.3. Presentation of the SDCM as a System of Productions
3.3. Replenishment and Completion of Initial Situations
3.3.1. Goals and Methods of Replenishing and Completing Situations in the SMS
3.3.2. SDCM Fragments Corresponding to Different Types of Situations
3.4. Classification of Situations
3.4.1. Generalized Quality Criteria for Model Elements
3.4.2. Cognitive Categorization of Situations
3.5. Generalization of Situations
3.5.1. Synthesis and Analysis of Types of Situations
3.5.2. Analysis of Spatial-Temporal Dependencies
3.6. Formalization of State Spaces for Objects of Modeling
3.6.1. Metrizing the Space of String Variables
3.6.2. Characteristics of INC Trajectories in the Generalized State Space
Conclusion for Chapter 3
Chapter 4 Coordination and Planning of Control Based on the Situational Model
4.1. Introduction to Chapter 4
4.2. Coordination and Specialization in Controlled Systems
4.3. Multi-Echelon Systems: Organizational Hierarchies
4.4. Formalization of Decentralized Control Problem
4.5. Coordinability
4.5.1. Postulate of Compatibility
4.5.2. Principles of Coordination
4.5.3. Types of Control Coordination Problems
4.6. Coordination in Situational Control Tasks
4.6.1. Sufficient Conditions to Coordinating a Locally Organized Hierarchy of Dynamic Intelligent Sy
4.6.2. Simulating Coordinability of Dynamic Systems
4.6.3. Simulation Results for a Linear Control Object
4.6.3.1. First Stage
4.6.3.2. Second Stage
4.6.3.3. Third Stage
4.6.4. Making Decisions on Coordination of Systems
4.6.5. Simulation Results for a Network Controlled Object
4.6.5.1. Conclusion on the Simulation Results
4.7. Coordination and Planning for a Team of Dynamic Intelligent Systems
4.7.1. Coordination in Relation to the Task of the Coordinator
4.7.2. Coordination in Relation to a Global Task
4.7.3. Direct Planning in DISs
4.7.4. Goal-Driven Behavior of DISs
4.7.5. Direct Synthesis of a Plan in DISs
4.7.5.1. Direct Plan Synthesis Procedure
4.7.6. Direct Synthesis of a Plan in the SMS
Conclusion for Chapter 4
Chapter 5 Situation Awareness in Modeling Systems
5.1. Introduction to Chapter 5
5.2. General Provisions of SA Concepts
5.3. SA Implementation in the SMS
5.3.1. Numerical Estimates of the SA for INCs
5.3.2. SA Estimates in Commercial Net-Centric Systems
5.3.2.1. Main Characteristics of Net-Centric Systems
5.3.2.2. SA Estimation in NSCs
5.3.3. SA for Groups of Robots
Conclusion for Chapter 5
Chapter 6 Software-Algorithmic Organization and Applications of the SMS
6.1. Introduction to Chapter 6
6.2. SCM Support Tools
6.2.1. Conceptual Model Graphical Editor
6.2.2. The Subsystem of SCM Formal Analysis
6.2.3. The Block of the Subject Domain Databases Automatic Formation
6.3. Work in the SMS ES
6.3.1. The SMS ESS Interface
6.3.2. Working with Multiple Sets of Rules
6.3.3. Inference Flow Control in the SMS ES
6.3.3.1. Flow Control for Deterministic Inference
6.3.3.2. Flow Control for Probabilistic and Fuzzy Inference
6.3.3.3. Flow Control for Bidirectional Inference
6.3.3.4. Deterministic Inference Control Strategy
6.3.3.5. Selecting a Subset of Goal Conjuncts for Reverse Inference
6.3.3.6. Controlling Probabilistic Inference Flow
6.4. Fundamentals of Software-Algorithmic Organization of the SMS
6.5. Stages of Simulation and Its Preparation
6.5.1. Formulation of a Problem to be Modeled
6.5.2. Preparing the Executive Environment for Simulation
6.5.3. Modeling and Presenting Its Results
6.5.4. Software for Supporting the Conceptual Model
6.5.5. Generation of Domain-Specific SMS Applications
6.6. Applications of the SMS

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