Cooperation and sharing of caught prey in competitive continuous coevolution using the predator-prey domain

Autor:	Krisztián Varga, Attila Kiss
Rok vydání:	2021
Předmět:	General Computer Science Evolutionary biology Computer science Coevolution Predation Domain (software engineering)
Zdroj:	Computer Science and Information Systems. 18:1175-1196
ISSN:	2406-1018 1820-0214
DOI:	10.2298/csis201122022v
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6af4d6e40075cf6f67568aa5014f7242 https://doi.org/10.2298/csis201122022v Zobrazit plný text záznamu