DMCA
Controlling Cooperative Problem Solving in Industrial Multi-Agent Systems using Joint Intentions (1995)
| Venue: | ARTIFICIAL INTELLIGENCE JOURNAL |
| Citations: | 326 - 36 self |
BibTeX
@MISC{Jennings95controllingcooperative,
author = {N. R. Jennings},
title = {Controlling Cooperative Problem Solving in Industrial Multi-Agent Systems using Joint Intentions},
year = {1995}
}
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Abstract
One reason why Distributed AI (DAI) technology has been deployed in relatively few real-size applications is that it lacks a clear and implementable model of cooperative problem solving which specifies how agents should operate and interact in complex, dynamic and unpredictable environments. As a consequence of the experience gained whilst building a number of DAI systems for industrial applications, a new principled model of cooperation has been developed. This model, called Joint Responsibility, has the notion of joint intentions at its core. It specifies pre-conditions which must be attained before collaboration can commence and prescribes how individuals should behave both when joint activity is progressing satisfactorily and also when it runs into difficulty. The theoretical model has been used to guide the implementation of a general-purpose cooperation framework and the qualitative and quantitative benefits of this implementation have been assessed through a series of comparativ...
Keyphrases
joint intention cooperative problem solving industrial multi-agent system quantitative benefit real-size application unpredictable environment new principled model implementable model joint activity distributed ai theoretical model industrial application cooperative problem joint responsibility general-purpose cooperation framework dai system
