Abstract
This article reports the use of evolutionary game theory to understand the role of various factors underpinning the decision to confront in the competition for resources. One factor was the intrinsic rate of confrontation an organism would display in absence of context sensitive factors. Two other factors were responsive to the environment and two others to the health status of the organism. Factors were implemented as genes that determine the rate at which confrontation or cooperation would be selected. Organisms were evolving in environments of different levels of reward and punishment. At each cycle they would be paired with another organism and decide whether to confront or cooperate. We used a genetic algorithm to simulate the evolution of the gene pool over 500 cycles. The main finding is that the baseline rate of confrontation is responsive to the conditions in the environment. Our results also indicate that the decision to confront or cooperate depends not only upon the immediate competitive conditions (reward and punishment) in which organisms evolve but is also sensitive to the state of the organisms.
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Chassy, P., Cole, J., Brennan, C. (2022). An Evolutionary Game Theory Model of the Decision to Confront. In: Bramer, M., Stahl, F. (eds) Artificial Intelligence XXXIX. SGAI-AI 2022. Lecture Notes in Computer Science(), vol 13652. Springer, Cham. https://doi.org/10.1007/978-3-031-21441-7_12
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DOI: https://doi.org/10.1007/978-3-031-21441-7_12
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