Bentley, Peter J;
Lim, Soo Ling;
(2022)
From evolutionary ecosystem simulations to computational models of human behavior.
WIREs Cognitive Science
, Article e1622. 10.1002/wcs.1622.
(In press).
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Abstract
We have a wide breadth of computational tools available today that enable a more ethical approach to the study of human cognition and behavior. We argue that the use of computer models to study evolving ecosystems provides a rich source of inspiration, as they enable the study of complex systems that change over time. Often employing a combination of genetic algorithms and agent-based models, these methods span theoretical approaches from games to complexification, nature-inspired methods from studies of self-replication to the evolution of eyes, and evolutionary ecosystems of humans, from entire economies to the effects of personalities in teamwork. The review of works provided here illustrates the power of evolutionary ecosystem simulations and how they enable new insights for researchers. They also demonstrate a novel methodology of hypothesis exploration: building a computational model that encapsulates a hypothesis of human cognition enables it to be tested under different conditions, with its predictions compared to real data to enable corroboration. Such computational models of human behavior provide us with virtual test labs in which unlimited experiments can be performed. This article is categorized under: Computer Science and Robotics > Artificial Intelligence.
| Type: | Article |
|---|---|
| Title: | From evolutionary ecosystem simulations to computational models of human behavior |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/wcs.1622 |
| Publisher version: | https://doi.org/10.1002/wcs.1622 |
| Language: | English |
| Additional information: | This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. © 2022 The Authors. WIREs Cognitive Science published by Wiley Periodicals LLC. |
| Keywords: | Social Sciences, Psychology, Experimental, Psychology, agent-based modeling, cognition, evolutionary computation, evolutionary ecosystems, human behavior, PREDATOR-PREY ECOSYSTEM, MARKET, STABILITY, PERSONALITY, PERFORMANCE, STRATEGIES, NETWORKS, DYNAMICS, MEMORY |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10156258 |
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