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Using Joint Responsibility to Coordinate Collaborative Problem Solving in Dynamic Environments

Using Joint Responsibility to Coordinate Collaborative Problem Solving in Dynamic Environments
Using Joint Responsibility to Coordinate Collaborative Problem Solving in Dynamic Environments
Joint responsibility is a new meta-level description of how cooperating agents should behave when engaged in collaborative problem solving. It is dependent of any specific planning or concensus forming mechanism, but can be mapped down to such a level. An application of the framework to the real world problem of electricity transportation management is given and its implementation is discussed. A comparative analysis of responsibility and two other group organisational structures, selfish problem solvers and communities in which collaborative behaviour emerges from interactions, is undertaken. The aim being to evaluatetheir relative performance characteristics in dynamic and unpredictable environments in which decisions are taken using partial, imprecise views of the system.
269-275
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Mamdani, E. H.
b590b192-a2bd-4717-9734-5266f43bf08e
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Mamdani, E. H.
b590b192-a2bd-4717-9734-5266f43bf08e

Jennings, N. R. and Mamdani, E. H. (1992) Using Joint Responsibility to Coordinate Collaborative Problem Solving in Dynamic Environments. 10th National Conf. on Artificial Intelligence (AAAI-92), United States. pp. 269-275 .

Record type: Conference or Workshop Item (Paper)

Abstract

Joint responsibility is a new meta-level description of how cooperating agents should behave when engaged in collaborative problem solving. It is dependent of any specific planning or concensus forming mechanism, but can be mapped down to such a level. An application of the framework to the real world problem of electricity transportation management is given and its implementation is discussed. A comparative analysis of responsibility and two other group organisational structures, selfish problem solvers and communities in which collaborative behaviour emerges from interactions, is undertaken. The aim being to evaluatetheir relative performance characteristics in dynamic and unpredictable environments in which decisions are taken using partial, imprecise views of the system.

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Published date: 1992
Venue - Dates: 10th National Conf. on Artificial Intelligence (AAAI-92), United States, 1992-01-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 252131
URI: https://eprints.soton.ac.uk/id/eprint/252131
PURE UUID: ebcc8e27-d20d-45d7-981f-d7cc3123b4ee

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Date deposited: 05 Dec 2002
Last modified: 18 Jul 2017 10:06

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