The University of Southampton
University of Southampton Institutional Repository

A Knowledge Level Approach to Collaborative Problem Solving

A Knowledge Level Approach to Collaborative Problem Solving
A Knowledge Level Approach to Collaborative Problem Solving
This paper proposes, characterizes and outlines the benefits of a new computer level specifically for multi-agent problem solvers. This level is called the cooperation knowledge level and involves describing and developing richer and more explicit models of common social phenomena. We then focus on one particular form of social interaction in which groups of agents decide they wish to work together, in a collaborative manner, to tackle a common problem. A domain independent model (called joint responsibility) is developed to describe how participants should behave during such problem solving. Particular emphasis is placed on the problem of ensuring coherent behaviour in the face of unpredictable and dynamic environments. The utility of this model is highlighted in the real-world environment of electricity transportation management. In this domain, agents have to make decisions using partial, imprecise views of the system and the inherent dynamics of the problem mean that team members have to continually evaluate the ongoing problem solving process. Joint responsibility provides the evaluation criteria and the causal link to behaviour upon which individual and social situation assessment is based.
55-64
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30

Jennings, N. R. (1992) A Knowledge Level Approach to Collaborative Problem Solving. AAAI Workshop on Cooperation Among Heterogeneous Intelligent Agents, San Jose, California, United States. pp. 55-64 .

Record type: Conference or Workshop Item (Paper)

Abstract

This paper proposes, characterizes and outlines the benefits of a new computer level specifically for multi-agent problem solvers. This level is called the cooperation knowledge level and involves describing and developing richer and more explicit models of common social phenomena. We then focus on one particular form of social interaction in which groups of agents decide they wish to work together, in a collaborative manner, to tackle a common problem. A domain independent model (called joint responsibility) is developed to describe how participants should behave during such problem solving. Particular emphasis is placed on the problem of ensuring coherent behaviour in the face of unpredictable and dynamic environments. The utility of this model is highlighted in the real-world environment of electricity transportation management. In this domain, agents have to make decisions using partial, imprecise views of the system and the inherent dynamics of the problem mean that team members have to continually evaluate the ongoing problem solving process. Joint responsibility provides the evaluation criteria and the causal link to behaviour upon which individual and social situation assessment is based.

Text
AAAI92-WS.pdf - Other
Download (133kB)

More information

Published date: 1992
Venue - Dates: AAAI Workshop on Cooperation Among Heterogeneous Intelligent Agents, San Jose, California, United States, 1992-01-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 252126
URI: http://eprints.soton.ac.uk/id/eprint/252126
PURE UUID: 0ef91108-bf68-4759-be51-245096fe840e

Catalogue record

Date deposited: 05 Dec 2002
Last modified: 14 Mar 2024 05:16

Export record

Contributors

Author: N. R. Jennings

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.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

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.

×