Abstract
Research in distributed artificial intelligence has historically focused on two distinct classes of problems. One paradigm, “planning for multiple agents,” considers issues inherent in centrally directed multiagent execution (Smith's Contract Net [Smith 1978], [Smith 1980] falls into this category, as does other DAI work such as [Rosenschein 1982],[Pednault 1987]). In the second paradigm, “distributed planning,” multiple agents participate more autonomously in deciding upon and coordinating their own actions [Corkill 1982], [Rosenschein and Genesereth 1985], [Durfee et al. 1987].
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