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Modeling Adaptive Autonomous Agents
Abstract
One category of research in Artificial Life is concerned with modeling and building so-called adaptive autonomous agents, which are systems that inhabit a dynamic, unpredictable environment in which they try to satisfy a set of time-dependent goals or motivations. Agents are said to be adaptive if they improve their competence at dealing with these goals based on experience. Autonomous agents constitute a new approach to the study of Artificial Intelligence (AI), which is highly inspired by biology, in particular ethology, the study of animal behavior. Research in autonomous agents has brought about a new wave of excitement into the field of AI. This paper reflects on the state of the art of this new approach. It attempts to extract its main ideas, evaluates what contributions have been made so far, and identifies its current limitations and open problems.
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Citations
Cites
A robust layered control system for a mobile robot
Brooks, R. (1986) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1986.1087032 · Cited by 7,799
Cited by
Defining Agency: Individuality, Normativity, Asymmetry, and Spatio-temporality in Action
Barandiaran, X. E., Di Paolo, E., & Rohde, M. (2009) · Adaptive Behavior · doi:10.1177/1059712309343819 · Cited by 497
Intelligent Behavior in Animals and Robots
Mcfarland, D., & Bösser, T. (1993) · The MIT Press eBooks · doi:10.7551/mitpress/3830.001.0001 · Cited by 321
He, J., Treude, C., & Lo, D. (2025) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3712003 · Cited by 246
LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead
He, J., Treude, C., & Lo, D. (2024) · arXiv · doi:10.48550/arxiv.2404.04834 · Cited by 246
Media in performance: Interactive spaces for dance, theater, circus, and museum exhibits
Sparacino, F., Davenport, G., & Pentland, A. (2000) · IBM Systems Journal · doi:10.1147/sj.393.0479 · Cited by 92
Metadata
- Authors
- Maes, P.
- Venue
- Artificial Life
- Publisher
- The MIT Press
- Published
- 1993-01-01
- Volume
- 1
- Issue
- 1_2
- Pages
- 135-162
- ISSN
- 1064-5462 (ISSN-L)
- OpenAlex
- W2007909139
- Cited by
- 575
- References
- 1
- FWCI
- 11.85
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
