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Conspecific Emotional Cooperation Biases Population Dynamics: A Cellular Automata Approach

Conspecific Emotional Cooperation Biases Population Dynamics: A Cellular Automata Approach

Megan M. Olsen, Kyle I. Harrington, Hava T. Siegelmann
Copyright: © 2012 |Pages: 16
ISBN13: 9781466615748|ISBN10: 1466615745|EISBN13: 9781466615755
DOI: 10.4018/978-1-4666-1574-8.ch014
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MLA

Olsen, Megan M., et al. "Conspecific Emotional Cooperation Biases Population Dynamics: A Cellular Automata Approach." Nature-Inspired Computing Design, Development, and Applications, edited by Leandro Nunes de Castro, IGI Global, 2012, pp. 255-270. https://doi.org/10.4018/978-1-4666-1574-8.ch014

APA

Olsen, M. M., Harrington, K. I., & Siegelmann, H. T. (2012). Conspecific Emotional Cooperation Biases Population Dynamics: A Cellular Automata Approach. In L. Nunes de Castro (Ed.), Nature-Inspired Computing Design, Development, and Applications (pp. 255-270). IGI Global. https://doi.org/10.4018/978-1-4666-1574-8.ch014

Chicago

Olsen, Megan M., Kyle I. Harrington, and Hava T. Siegelmann. "Conspecific Emotional Cooperation Biases Population Dynamics: A Cellular Automata Approach." In Nature-Inspired Computing Design, Development, and Applications, edited by Leandro Nunes de Castro, 255-270. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1574-8.ch014

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Abstract

In this paper, the authors evaluate the benefit of emotions in population dynamics and evolution. The authors enhance cellular automata (CA) simulating the interactions of competing populations with emotionally inspired rules in communication, interpretation, and action. While CAs have been investigated in studies of population dynamics due to their ability to capture spatial interactions, emotion-like interactions have yet to be considered. Our cellular stochastic system describes interacting foxes that feed on rabbits that feed on carrots. Emotions enable foxes and rabbits to improve their decisions and share their experiences with neighboring conspecifics. To improve the system’s biological relevance, it includes inter-species disease transmission, and emotions encode data pertaining to both survival and epidemic reduction. Results indicate that emotions increase adaptability, help control disease, and improve survival for the species that utilizes them. Simulations support the hypothesis that the acquisition of emotion may be an evolutionary result of competitive species interactions.

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