Distributed Artificial Intelligence Distributed Artificial Intelligence
Internet of Everything (IoE)

Distributed Artificial Intelligence

A Modern Approach

    • $69.99
    • $69.99

Publisher Description

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.

GENRE
Computers & Internet
RELEASED
2020
December 17
LANGUAGE
EN
English
LENGTH
336
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
14.8
MB
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