Intelligence arms race: Delayed reward increases complexity of agent strategies

Hirotaka Osawa

Intelligence arms race: Delayed reward increases complexity of agent strategies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Social brain theory hypothesizes that the human brain becomes larger through evolution mainly because of reading others' intentions in society. Reading opponents' intentions and cooperating with them or outsmarting them results in an intelligence arms race. The author discusses the evolution of such an arms race, represented as finite state automatons, under three distinct payoff schemes and the implications of these results, which suggest that agents increase complexity of their strategies.

Original language	English
Title of host publication	13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
Publisher	International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages	789-796
Number of pages	8
ISBN (Electronic)	9781634391313
Publication status	Published - 2014
Externally published	Yes
Event	13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 - Paris, France Duration: 2014 May 5 → 2014 May 9

Publication series

Name	13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
Volume	1

Other

Other	13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
Country/Territory	France
City	Paris
Period	14/5/5 → 14/5/9

Keywords

Genetic programming
Intelligence arms race
Multi-agent simulation
Social brain theory

ASJC Scopus subject areas

Artificial Intelligence

Cite this

Osawa, H. (2014). Intelligence arms race: Delayed reward increases complexity of agent strategies. In 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 (pp. 789-796). (13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014; Vol. 1). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Intelligence arms race: Delayed reward increases complexity of agent strategies. / Osawa, Hirotaka.
13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2014. p. 789-796 (13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Osawa, H 2014, Intelligence arms race: Delayed reward increases complexity of agent strategies. in 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014. 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014, vol. 1, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 789-796, 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014, Paris, France, 14/5/5.

Osawa, Hirotaka. / Intelligence arms race : Delayed reward increases complexity of agent strategies. 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2014. pp. 789-796 (13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014).

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Intelligence arms race: Delayed reward increases complexity of agent strategies

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

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Cite this