Название: Distributed Artificial Intelligence: A Modern Approach
Автор: Satya Prakash Yadav, Dharmendra Prasad Mahato, Nguyen Thi Dieu Linh
Издательство: CRC Press
Год: 2021
Страниц: 337
Язык: английский
Формат: pdf (true)
Размер: 27.1 MB

Distributed artificial intelligence (DAI) has emerged as a powerful paradigm for representing and solving complex problems. DAI is the branch of AI concerned with how to coordinate behavior among a collection of semi-autonomous problem-solving agents: how they can coordinate their knowledge, goals, and plans to act together, to solve joint problems, or to make individually or globally rational decisions in the face of uncertainty and multiple, conflicting perspectives. Growth of this field has been spurred by the advances in distributed computing environments and widespread information connectivity.

Although DAI started as a branch of artificial intelligence, it has emerged as an independent research discipline in its own right, representing a confluence of ideas from several disciplines. Distributed, coordinated systems of problem-solvers are rapidly becoming practical partners in critical human problem-solving environments, and DAI is a rapidly developing field of both application and research, experiencing explosive growth around the world.

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.

This book presents a collection of articles surveying several major recent developments in DAI. The book focuses on issues and challenges that arise in building practical DAI systems in real-world settings and covers some solutions of the issues. 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.