Abstract
This chapter presents an analysis of the problems and research in distributed artificial intelligence (DAI). Most artificial intelligence (AI) research investigates how a single agent can exhibit intelligent behavior such as solving problems using heuristic or knowledge-based methods, planning, understanding and generating natural language, and perception and learning. Several recent developments have together provoked interest in concurrency and distribution in AI—the development of powerful concurrent computers, the proliferation of multinode computer networks, and the recognition that much human problem solving and activity involves groups of people. DAI is the subfield of AI concerned with concurrency in AI computations, at many levels.
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