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Variable Sociability in Agent-Based Decision Making

Variable Sociability in Agent-Based Decision Making
Variable Sociability in Agent-Based Decision Making
Multi-agent system research is concerned with the issues surrounding the performance of collections of interacting agents. A major concern, therefore, is with the design of the decision making mechanism that the individual agents employ in order to determine which actions to take to achieve their goals. An attractive and much sought after property of this mechanism is that it produces decisions that are rational from the perspective of the individual agent. However, agents are also inherently social. Moreover, individual and social concerns often conflict, perhaps leading to inefficient performance of the individual and the system. To address these problems we propose a formal decision making framework, based on social welfare functions, that combines social and individual perspectives in a unified and flexible maner. The framework is realised in an exemplar computational setting and an empirical analysis is made of the relative performance of varying sociable decision making functions in a range of environments.
305-318
Hogg, L. M.
3348b5d7-d3d8-4a11-9a4f-1272d6598dd2
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Hogg, L. M.
3348b5d7-d3d8-4a11-9a4f-1272d6598dd2
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30

Hogg, L. M. and Jennings, N. R. (1999) Variable Sociability in Agent-Based Decision Making. 6th Int. Workshop on Agent Theories Architectures and Languages (ATAL-99). pp. 305-318 .

Record type: Conference or Workshop Item (Paper)

Abstract

Multi-agent system research is concerned with the issues surrounding the performance of collections of interacting agents. A major concern, therefore, is with the design of the decision making mechanism that the individual agents employ in order to determine which actions to take to achieve their goals. An attractive and much sought after property of this mechanism is that it produces decisions that are rational from the perspective of the individual agent. However, agents are also inherently social. Moreover, individual and social concerns often conflict, perhaps leading to inefficient performance of the individual and the system. To address these problems we propose a formal decision making framework, based on social welfare functions, that combines social and individual perspectives in a unified and flexible maner. The framework is realised in an exemplar computational setting and an empirical analysis is made of the relative performance of varying sociable decision making functions in a range of environments.

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Published date: 1999
Venue - Dates: 6th Int. Workshop on Agent Theories Architectures and Languages (ATAL-99), 1999-01-01
Organisations: Agents, Interactions & Complexity

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Local EPrints ID: 252168
URI: http://eprints.soton.ac.uk/id/eprint/252168
PURE UUID: 51de9e67-e376-448b-ba8e-0722cb2bf72b

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Date deposited: 20 Apr 2001
Last modified: 22 Sep 2020 16:42

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