The Cost of interference in evolving multiagent systems.

The Anh Han; Long Tran-Thanh; Nicholas R. Jennings

The Cost of interference in evolving multiagent systems.

The Anh Han, Long Tran-Thanh, Nicholas R. Jennings

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Abstract

We study the situation of a decision-maker who aims to encourage the players of an evolutionary game theoretic system to follow cer- tain desired behaviours. To do so, she can interfere in the system to reward her preferred behavioural patterns. However, this action requires certain cost (e.g., resource consumption). Given this, her main goal is to maintain an efficient trade-off between achieving the desired system status and minimising the total cost spent. Our results reveal interesting observations, which suggest that further investigations in the future are required.

Original language	English
Publication status	Published - 2015
Event	14th International Conference on Autonomous Agents and Multiagent Systems - Istanbul Congress Centre, Istanbul, Turkey Duration: 4 May 2015 → 8 May 2015 http://www.ifaamas.org/AAMAS/aamas2015/

Conference

Conference	14th International Conference on Autonomous Agents and Multiagent Systems
Abbreviated title	AAMAS
Country/Territory	Turkey
City	Istanbul
Period	4/05/15 → 8/05/15
Internet address	http://www.ifaamas.org/AAMAS/aamas2015/

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title = "The Cost of interference in evolving multiagent systems.",

abstract = "We study the situation of a decision-maker who aims to encourage the players of an evolutionary game theoretic system to follow cer- tain desired behaviours. To do so, she can interfere in the system to reward her preferred behavioural patterns. However, this action requires certain cost (e.g., resource consumption). Given this, her main goal is to maintain an efficient trade-off between achieving the desired system status and minimising the total cost spent. Our results reveal interesting observations, which suggest that further investigations in the future are required.",

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AU - Tran-Thanh, Long

AU - Jennings, Nicholas R.

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N2 - We study the situation of a decision-maker who aims to encourage the players of an evolutionary game theoretic system to follow cer- tain desired behaviours. To do so, she can interfere in the system to reward her preferred behavioural patterns. However, this action requires certain cost (e.g., resource consumption). Given this, her main goal is to maintain an efficient trade-off between achieving the desired system status and minimising the total cost spent. Our results reveal interesting observations, which suggest that further investigations in the future are required.

AB - We study the situation of a decision-maker who aims to encourage the players of an evolutionary game theoretic system to follow cer- tain desired behaviours. To do so, she can interfere in the system to reward her preferred behavioural patterns. However, this action requires certain cost (e.g., resource consumption). Given this, her main goal is to maintain an efficient trade-off between achieving the desired system status and minimising the total cost spent. Our results reveal interesting observations, which suggest that further investigations in the future are required.

M3 - Paper

T2 - 14th International Conference on Autonomous Agents and Multiagent Systems

Y2 - 4 May 2015 through 8 May 2015

ER -

The Cost of interference in evolving multiagent systems.

Abstract

Conference

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