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

被引：1

作者：

Varga, Krisztian ^{[1
]}

Kiss, Attila ^{[2
]}

机构：

[1] Eotvos Lorand Univ, Budapest, Hungary

[2] Eotvos Lorand Univ, Dept Informat Syst, Budapest, Hungary

来源：

COMPUTER SCIENCE AND INFORMATION SYSTEMS | 2021年 / 18卷 / 04期

关键词：

artificial life; neural networks; evolution; coevolution; cooperation; arms race; competition; predator; prey; ARMS RACES;

D O I：

10.2298/CSIS201122022V

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1175 / 1196

页数：22

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