Cooperation and Sharing of Caught Prey in Competitive Continuous Coevolution Using the Predator-Prey Domain

Krisztián Varga1 and Attila Kiss2

  1. Eötvös Loránd University
    Budapest, Hungary
    scout@inf.elte.hu
  2. Eötvös Loránd University department of Information Systems
    Budapest, Hungary
    kiss@inf.elte.hu

Abstract

Competition is one of the main driving factors of evolution and can be observed in nature as well as in simulations. Competition can occur between predators and preys causing an arms race, but it can also happen between individuals of the same species. Our simulation uses the predator-prey domain (with carnivores, herbivores and plants,) and continuous (not generation based) neuro-evolution to create a complex environment where both forms of competition arise. The characteristics of the simulation make it hard for a predator to catch prey alone, this creates a dependence on cooperation. The predators can share the caught prey with nearby members, in order to help them work together. We explore how sharing affects the cooperation of the hunters, and compare the effectiveness of one and two predator populations.

Key words

artificial life, neural networks, evolution, coevolution, cooperation, arms race, competition, predator, prey

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS201122022V

Publication information

Volume 18, Issue 4 (September 2021)
Year of Publication: 2021
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Varga, K., Kiss, A.: Cooperation and Sharing of Caught Prey in Competitive Continuous Coevolution Using the Predator-Prey Domain. Computer Science and Information Systems, Vol. 18, No. 4, 1175–1196. (2021), https://doi.org/10.2298/CSIS201122022V