A Formal Framework for Designing Boundedly Rational Agents

Andreas Brännström; Timotheus Kampik; Ramon Ruiz-Dolz; Joaquin Taverner

doi:10.5220/0010895500003116

A Formal Framework for Designing Boundedly Rational Agents

Andreas Brännström, Timotheus Kampik, Ramon Ruiz-Dolz, Joaquin Taverner

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

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Abstract

Notions of rationality and bounded rationality play important roles in research on the design and implementation of autonomous agents and multi-agent systems, for example in the context of instilling socially intelligent behavior into computing systems. However, the (formal) connection between artificial intelligence research on the design and implementation of boundedly rational and socially intelligent agents on the one hand and formal economic rationality – i.e., choice with clear and consistent preferences – or instrumental rationality – i.e., the maximization of a performance measure given an agent’s knowledge – on the other hand is weak. In this paper we address this shortcoming by introducing a formal framework for designing boundedly rational agents that systematically relax instrumental rationality, and we propose a system architecture for implementing such agents.

Original language	English
Title of host publication	Proceedings of the 14th International Conference on Agents and Artificial Intelligence
Editors	Ana Paula Rocha, Luc Steels , Jaap van den Herik
Publisher	SciTePress
Pages	705-714
Number of pages	10
Volume	3
ISBN (Electronic)	9789897585470
DOIs	https://doi.org/10.5220/0010895500003116
Publication status	Published - 2022
Event	14th International Conference on Agents and Artificial Intelligence, 2022 - Online Streaming, online Duration: 3 Feb 2022 → 5 Feb 2022 Conference number: 14 https://icaart.scitevents.org/?y=2022

Conference

Conference	14th International Conference on Agents and Artificial Intelligence, 2022
Abbreviated title	ICAART 2022
City	online
Period	3/02/22 → 5/02/22
Internet address	https://icaart.scitevents.org/?y=2022

Keywords

Rational Agents
Socially Intelligent Systems
Engineering Multi-agent Systems

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10.5220/0010895500003116Licence: CC BY-NC-ND

Final published versionFinal published version, 376 KBLicence: CC BY-NC-ND

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title = "A Formal Framework for Designing Boundedly Rational Agents",

abstract = "Notions of rationality and bounded rationality play important roles in research on the design and implementation of autonomous agents and multi-agent systems, for example in the context of instilling socially intelligent behavior into computing systems. However, the (formal) connection between artificial intelligence research on the design and implementation of boundedly rational and socially intelligent agents on the one hand and formal economic rationality – i.e., choice with clear and consistent preferences – or instrumental rationality – i.e., the maximization of a performance measure given an agent{\textquoteright}s knowledge – on the other hand is weak. In this paper we address this shortcoming by introducing a formal framework for designing boundedly rational agents that systematically relax instrumental rationality, and we propose a system architecture for implementing such agents.",

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Brännström, A, Kampik, T, Ruiz-Dolz, R & Taverner, J 2022, A Formal Framework for Designing Boundedly Rational Agents. in AP Rocha, L Steels & JVD Herik (eds), Proceedings of the 14th International Conference on Agents and Artificial Intelligence. vol. 3, SciTePress, pp. 705-714, 14th International Conference on Agents and Artificial Intelligence, 2022, online, 3/02/22. https://doi.org/10.5220/0010895500003116

A Formal Framework for Designing Boundedly Rational Agents. / Brännström, Andreas; Kampik, Timotheus; Ruiz-Dolz, Ramon et al.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence. ed. / Ana Paula Rocha; Luc Steels ; Jaap van den Herik. Vol. 3 SciTePress, 2022. p. 705-714.

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

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A Formal Framework for Designing Boundedly Rational Agents

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