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Towards a Cooperation Knowledge Level for Collaborative Problem Solving

Towards a Cooperation Knowledge Level for Collaborative Problem Solving
Towards a Cooperation Knowledge Level for Collaborative Problem Solving
The cooperation knowledge level is a new computer level specifically for multi-agent problem solvers which describes rich and explicit models of common social phenomena. A cooperation level description (called joint responsibility) is developed to describe how participants should behave during interactions in which groups of agents collaborate to solve a common problem. The utility of this model is highlighted in the real-world environment of electricity transport management in which agents have to make decisions using partial, imprecise views of the system and cope with the inherent dynamics of the environment. In such situations the tracking of social action becomes a primary consideration; joint responsibility provides evaluation criteria and the causal link to behaviour upon which such assessment can be based.
Distributed AI, Joint Intentions, Knowledge Level.
224-228
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30

Jennings, N. R. (1992) Towards a Cooperation Knowledge Level for Collaborative Problem Solving. 10th European Conf. on Artificial Intelligence (ECAI-92), Vienna, Austria. pp. 224-228 .

Record type: Conference or Workshop Item (Paper)

Abstract

The cooperation knowledge level is a new computer level specifically for multi-agent problem solvers which describes rich and explicit models of common social phenomena. A cooperation level description (called joint responsibility) is developed to describe how participants should behave during interactions in which groups of agents collaborate to solve a common problem. The utility of this model is highlighted in the real-world environment of electricity transport management in which agents have to make decisions using partial, imprecise views of the system and cope with the inherent dynamics of the environment. In such situations the tracking of social action becomes a primary consideration; joint responsibility provides evaluation criteria and the causal link to behaviour upon which such assessment can be based.

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Published date: 1992
Venue - Dates: 10th European Conf. on Artificial Intelligence (ECAI-92), Vienna, Austria, 1992-01-01
Keywords: Distributed AI, Joint Intentions, Knowledge Level.
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 252127
URI: http://eprints.soton.ac.uk/id/eprint/252127
PURE UUID: e769898d-d3d1-4b54-a2f4-6e9762b7c419

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

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Contributors

Author: N. R. Jennings

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