The University of Southampton
University of Southampton Institutional Repository

Controlling Cooperative Problem Solving in Industrial Multi-Agent Systems using Joint Intentions

Jennings, N. R. (1995) Controlling Cooperative Problem Solving in Industrial Multi-Agent Systems using Joint Intentions Artificial Intelligence, 75, (2), pp. 195-240.

Record type: Article


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 comparative experiments in the real-world domain of electricity transport management. Finally, the success of the approach of building a system with an explicit and grounded representation of cooperative problem solving is used to outline a proposal for the next generation of multi-agent systems.

PDF aij95.pdf - Other
Download (2MB)

More information

Published date: 1995
Organisations: Agents, Interactions & Complexity


Local EPrints ID: 252096
PURE UUID: f87036fc-07a2-4581-9a03-11c4e3abfdb6

Catalogue record

Date deposited: 17 Dec 1999
Last modified: 18 Jul 2017 10:06

Export record


Author: N. R. Jennings

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.