PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
August 1, 1993Journal of Artificial Intelligence Research529 citationsOpen Access

A Market-Oriented Programming Environment and its Application to Distributed Multicommodity Flow Problems

MWMichael P. Wellman

Key Points

Key points are not available for this paper at this time.

Abstract

Market price systems constitute a well-understood class of mechanisms that under certain conditions provide effective decentralization of decision making with minimal communication overhead. In a market-oriented programming approach to distributed problem solving, we derive the activities and resource allocations for a set of computational agents by computing the competitive equilibrium of an artificial economy. WALRAS provides basic constructs for defining computational market structures, and protocols for deriving their corresponding price equilibria. In a particular realization of this approach for a form of multicommodity flow problem, we see that careful construction of the decision process according to economic principles can lead to efficient distributed resource allocation, and that the behavior of the system can be meaningfully analyzed in economic terms.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Michael P. Wellman (1993) studied this question.

synapsesocial.com/papers/6a1d9c201e7099f69105aff9https://doi.org/10.1613/jair.2
Ask AI
Helpful
Bookmark
Share
View Full Paper