Published 2021
Table of Contents:
“...7.5.5 Discussion and Future Impact -- 7.6 Cooperation in Multi-Agent Environments -- 7.6.1 Notations and Workflow -- 7.6.2 Action Independence -- 7.7 Game Theory Scenario -- 7.8 Data-Driven or AI-Driven -- 7.8.1 Human Judgment -- 7.8.2 Data-Driven Decision-Making -- 7.8.3 Working of Data-Driven Decisions -- 7.8.4 AI-Driven Decision-Making -- 7.8.5 Leveraging Human and AI-Driven Workflows Together -- 7.9 Calculative Rationality -- 7.10 Meta-Level Rationality and Meta-Reasoning -- 7.11 The Role of Decision Procedures in Distributed Decision-Making -- 7.12 Advantages of Distributed Decision-Making -- 7.13 Optimization Decision Theory -- 7.13.1 Multi-Level (Hierarchical) Algorithms -- 7.14 Dynamic
Programming -- 7.15 Network Flow -- 7.16 Large-Scale Decision-Making (LSDM) -- 7.16.1 Key Elements in an LSDM Model -- 7.17 Conclusion -- Reference -- Chapter 8 Cooperation through Communication in a Distributed Problem-Solving Network -- 8.1 Introduction -- 8.2 Distributed Control System -- 8.2.1 Design Decisions -- 8.2.2 Host Node Software Communication -- 8.2.3 Convolutional Software Node Network -- 8.2.4 Assessment of Distributed Situation -- 8.2.5
Computer-
Aided Control Engineering (CACE) -- 8.2.6 Knowledge Base -- 8.2.7 Training Dataset -- 8.3 Motivation and Development of the ICE Architecture -- 8.3.1 History of ICE Model -- 8.3.1.1 Operators on Information States -- 8.3.1.2 Relations to Observable Quantum Mechanics -- 8.3.1.3 The Influence of Sociology and Intentional States -- 8.3.2 Requirements of a Theory of Animal and Robotics Communication -- 8.4 A Brief Conceptual History of Formal Semantics -- 8.4.1 Tarski Semantics -- 8.4.2 Possible World Semantics -- 8.4.3 Semantics of Temporal Logic -- 8.4.4 Limitations of Kripke Possible World Semantics -- 8.5 Related Work -- 8.6 Dynamic Possible World Semantics -- 8.7 Situation Semantics and Pragmatics....
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