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A Knowledge Level Characterisation of Multi-Agent Systems

A Knowledge Level Characterisation of Multi-Agent Systems
A Knowledge Level Characterisation of Multi-Agent Systems
This paper presents a knowledge-based analysis of a number
of multi-agent systems. The analysis is based on the knowledge level
hypothesis of Newell and Clancey. We claim that the models of problem
solving which we obtain constitute descriptions of global coherence in
multi-agent systems. We contrast the results of this analysis with the
conventional views of coherence.
Aitken, S.
a33d58fe-5fa9-43c7-92ff-4bf5d54688b0
Schmalhofer, F.
c42c84a3-6081-4003-8f33-9f68d7799ce2
Shadbolt, N. R.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Aitken, S.
a33d58fe-5fa9-43c7-92ff-4bf5d54688b0
Schmalhofer, F.
c42c84a3-6081-4003-8f33-9f68d7799ce2
Shadbolt, N. R.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Aitken, S., Schmalhofer, F. and Shadbolt, N. R. (1994) A Knowledge Level Characterisation of Multi-Agent Systems. Proceedings of the Workshop on agent theories, architectures and languages on intelligent agents of the European Conference on Artificial Intelligence.

Record type: Conference or Workshop Item (Paper)

Abstract

This paper presents a knowledge-based analysis of a number
of multi-agent systems. The analysis is based on the knowledge level
hypothesis of Newell and Clancey. We claim that the models of problem
solving which we obtain constitute descriptions of global coherence in
multi-agent systems. We contrast the results of this analysis with the
conventional views of coherence.

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Published date: 1994
Venue - Dates: Proceedings of the Workshop on agent theories, architectures and languages on intelligent agents of the European Conference on Artificial Intelligence, 1994-01-01
Organisations: Web & Internet Science

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Local EPrints ID: 252340
URI: https://eprints.soton.ac.uk/id/eprint/252340
PURE UUID: 8d815604-0050-4b64-b8ad-71e4d1cb210a

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Date deposited: 20 Jan 2000
Last modified: 18 Jul 2017 10:04

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