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Run-Time Selection of Coordination Mechanisms in Multi-Agent Systems

Run-Time Selection of Coordination Mechanisms in Multi-Agent Systems
Run-Time Selection of Coordination Mechanisms in Multi-Agent Systems
This paper presents a framework that enables autonomous agents to dynamically select the mechanism they employ in order to coordinate their inter-related activities. Adopting this framework means coordination mechanisms move from the realm of being imposed upon the system at design time, to something that the agents select at run-time in order to fit their prevailing circumstances and their current coordination needs. Empirical analysis is used to evaluate the effect of various design alternatives for the agent's decision making mechanisms and for the coordination mechanisms themselves.
348-352
Bourne, R. A.
c1003f5b-cb86-42a1-9fd1-986a6ab68aa8
Excelente-Toledo, C. B.
3e8f210d-7ee3-4c1f-8148-6f392ad9f77b
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Bourne, R. A.
c1003f5b-cb86-42a1-9fd1-986a6ab68aa8
Excelente-Toledo, C. B.
3e8f210d-7ee3-4c1f-8148-6f392ad9f77b
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30

Bourne, R. A., Excelente-Toledo, C. B. and Jennings, N. R. (2000) Run-Time Selection of Coordination Mechanisms in Multi-Agent Systems. 14th European Conference on Artificial Intelligence (ECAI-2000), Berlin, Germany. pp. 348-352 .

Record type: Conference or Workshop Item (Paper)

Abstract

This paper presents a framework that enables autonomous agents to dynamically select the mechanism they employ in order to coordinate their inter-related activities. Adopting this framework means coordination mechanisms move from the realm of being imposed upon the system at design time, to something that the agents select at run-time in order to fit their prevailing circumstances and their current coordination needs. Empirical analysis is used to evaluate the effect of various design alternatives for the agent's decision making mechanisms and for the coordination mechanisms themselves.

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Published date: 2000
Venue - Dates: 14th European Conference on Artificial Intelligence (ECAI-2000), Berlin, Germany, 2000-01-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 253736
URI: http://eprints.soton.ac.uk/id/eprint/253736
PURE UUID: 3d000682-b8f9-44fa-8568-1d6281b70ce4

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Date deposited: 04 Nov 2002
Last modified: 23 Jun 2020 16:45

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