Agent-based cognitive models are inspired by ant colony and economic complex systems
Agent-based cognitive models draw inspiration from both biological swarm intelligence, such as ant colonies, and complex economic systems.
The claim specifically states that agent-based cognitive models are inspired by ant colonies and economic complex systems. Paper [1] demonstrates the use of ant colony optimization in cognitive networks, while Paper [9] explicitly links cognitive models, agent-based frameworks, and economic complex adaptive systems. Both parts of the claim are thus directly supported by the literature.
S. Vimal, Manju Khari, R. G. Crespo, L. Kalaivani, N. Dey, M. Kaliappan. Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks. 2020. https://doi.org/10.1016/j.comcom.2020.03.004
This paper utilizes ant colony optimization algorithms for cognitive network modeling, exemplifying the biological inspiration behind agent-based cognitive systems.
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Samuel G. B. Johnson, Patrick R. Schotanus, J. Kelso. Minds and markets as complex systems: an emerging approach to cognitive economics.. 2024. https://doi.org/10.1016/j.tics.2024.07.003
This paper discusses cognitive economics and explicitly frames minds and markets as complex adaptive systems, supporting the connection between agent-based cognitive models and economic complex systems.
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