학술논문

Effects of Several Bioinspired Methods on the Stability of Coevolutionary Complexification
Document Type
Conference
Source
2015 IEEE Symposium Series on Computational Intelligence Computational Intelligence, 2015 IEEE Symposium Series on. :1094-1101 Dec, 2015
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Sociology
Statistics
Complexity theory
Robots
Biological system modeling
Games
Computational modeling
Language
Abstract
We study conditions for sustained growth of complexity in an abstract model of parasitic coevolution. Previous research has found that complexification is hard to achieve if the evolution of the symbiont population is constrained by the hosts but the evolution of the hosts is unconstrained, or, more generally, if the task difficulty is much higher for the symbionts than for the hosts. Here we study whether three bio inspired methods known from previous research on achieving stability in coevolution (balancing, niching, and reduced resistance) can restore complexification in such situations. We find that reduced resistance, and to a lesser degree niching, are successful if applied together with truncation selection, but not if applied together with fitness proportional selection.