Distributed artificial intelligence : a modern approach
著者
書誌事項
Distributed artificial intelligence : a modern approach
（Internet of everything (IoE) : security and privacy paradigm / series editors Vijender Kumar Solanki, Raghvendra Kumar, and Le Hoang Son）
CRC Press, Taylor & Francis Group, 2021
- : hbk
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some meta-heuristic methods where the problem solving may resemble like operation research. But exactly, it is not related completely to management research. The text examines representing and using organizational knowledge in DAI systems, dynamics of computational ecosystems, and communication-free interactions among rational agents. This publication takes a look at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource allocations, and plans for multiple agents.
Topics included plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning.
The book will attract researchers and practitioners who are working in management and computer science, and industry persons in need of a beginner to advanced understanding of the basic and advanced concepts.
目次
1. What is DAI? 2. Intelligent Agents. 3. Problem Solving Using DAI. 4. Beyond Classical Search. 5. Adversarial Search. 6. Constraints Satisfaction Problem. 7. Decision Procedures. 8. Cooperation through Communication in a Distributed Problem-Solving Network. 9. Instantiating Descriptions of Organizational Structures. 10. The Architecture of the Agora Environment.
11. Test Beds for Distributed AI Research. 12. Frameworks for Real-Time Distributed Cooperative Problem Solving. 13. A Connectionist Encoding of Sematic Networks. 14. Examples of Context Free Recognizers. 15. DAI for Document Retrieval.
16. Manufacturing Experience with the Contract Net. 17. Participant Systems. 18. Distributed Artificial Intelligence: An Annotated Bibliography.
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