Dominating sets of agents in visibility graphs: distributed algorithms for art gallery problems
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Local search for distributed asymmetric optimization
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Adaptive and non-adaptive distribution functions for DSA
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Concurrent forward bounding for distributed constraint optimization problems
Artificial Intelligence
Finding a nash equilibrium by asynchronous backtracking
CP'12 Proceedings of the 18th international conference on Principles and Practice of Constraint Programming
Asymmetric distributed constraint optimization problems
Journal of Artificial Intelligence Research
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Agent technology is evolving as a leading field of research connected to diverse areas such as A.I., E-commerce, robotics and information retrieval. Agents systems use reasoning and constraint-based reasoning that has a wide potential for representing multiple types of problems. A fundamental building block within all these areas is the ability to perform search and an inherent part of all agents must therefore relate to distributed and cooperative methods of search. This book presents a comprehensive discussion on the field of distributed constraints, its algorithms and its active research areas. It introduces distributed constraint satisfaction and optimization problems and proceeds to present a complete state-of-the-art in DisCSP & DisCOP research. The presentation assumes no prior knowledge of constraints or distributed constraints. Features and topics: Introduces in great detail search algorithms for DisCSPs and DisCOPs Presents a comprehensive study of distributed performance measures for all algorithms, allowing an extensive experimental evaluation to be constructed Addresses potential problems following current research on DisCSPs and DisCOPs Discusses the impact of communication quality on distributed search (for example message delays) Describes the most significant recent research in the field of distributed constraints satisfaction and optimization, including its difficulties This exposition of the many elements of distributed search algorithms for DisCSPs and DisCOPs will be a research asset and an invaluable read for researchers and graduate students who focus on distributed CSPs and COPs. In addition, the books comprehensiveness and style make it an ideal tool for a graduate course on distributed search in AI. Professor Amnon Meisels has an active research group who have worked in distributed constraints for a number of years and has published extensively in the field. He is a member of the Department of Computer Science at Ben-Gurion University, Beer-Sheva, Israel.