Distributed artificial intelligence (DAI) has grown rapidly in recent years and continues to stimulate widespread research activity. Until now, however, no book has provided a comprehensive, unified treatment of DAI - forcing engineers, researchers, and students to comb the professional literature in search of pertinent information. Foundations of Distributed Artificial Intelligence fills that gap.
This up-to-date collection of contributions from around the globe examines theoretical principles and practical applications, combines a broad view of the field with detailed examinations of specific research topics, and offers superb coverage at both introductory and advanced levels.
