Distributed Artificial Intelligence A Modern Approach

• Main Authors: Yadav, Satya Prakash, Mahato, Dharmendra Prasad, Linh, Nguyen Thi Dieu
• Format: eBook Book
• Language: English
• Published: Boca Raton CRC Press 2021; CRC Press, Taylor & Francis Group; Taylor & Francis Group
• Edition: 1
• Series: Internet of Everything (IoE)
• Subjects: Artificial Intelligence; Behavior Science; Big Data; Communication Networks & Systems; Communication-free interactions; Computational ecosystems; Computer Integrated Manufacturing (CIM); COMPUTERSCIENCEnetBASE; Conflict-resolution paradigms; Cyber Security; Data Preparation & Mining; Decision-making problems; Distributed artificial intelligence; ENGnetBASE; INDUSTRIALENGINEERINGnetBASE; Industry 4.0; INFORMATIONSCIENCEnetBASE; Intelligent Systems; Machine Learning - Design; Manufacturing Engineering; Mathematics & Statistics for Engineers; Media & Mass Communication; Operations Research; Pattern Recognition; SCI-TECHnetBASE; STMnetBASE; Supercomputing; Cyber Security; ABE; DNN; DPS; Packet Delivery Ratio; Behavior Science; Industry 4.0; Vice Versa; Smart Contracts; Machine Learning; Road Segments; Distributed Artificial Intelligence; Consensus Algorithm; Automated Decision Making; Multi-agent Systems; Packet Delivery Rate; Document Retrieval; AOSE; Linguistic Parser; Blockchain Technology; Software Agents; Hash Code; Big Data; DSS Model; IR Framework; Pattern Recognition; Ma; FIPA Standard; VANETs
• ISBN: 0367466651; 0367638827; 9780367466657; 9780367638825
• DOI: 10.1201/9781003038467

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 metaheuristic methods in which problem solving may resemble operation research, but it is not exactly related 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 book looks at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource allocations, and plans for multiple agents. Topics include plan verification, generation and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The book also discusses negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning. This book will attract researchers and practitioners who are working in management and computer science as well as people looking for a book that explains basic and advanced concepts.