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Distributed Artificial Intelligence
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eBook
Distributed Artificial Intelligence
2021,2020
Overview
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.
Publisher
CRC Press,CRC Press, Taylor & Francis Group,Taylor & Francis Group
Subject
ISBN
0367466651, 0367638827, 9780367466657, 9780367638825
