Methods for Competitive and Cooperative Co-evolution

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

Cooperative and Competitive Behavior Acquisition for Mobile Robots through Co-evolution

This paper discusses how multiple robots can emerge cooperative and competitive behaviors through co-evolutionary processes. A genetic programming method is applied to individual population corresponding to each robot so as to obtain cooperative and competitive behaviors. The complexity of the problem can be explained twofold: coevolution for cooperative behaviors needs exact synchronization of...

Co-evolution for cooperative behavior acquisition in a multiple mobile robot environment

Co-evolution has been receiving increased attention as a method for multi agent simultaneous learning. This paper discusses how multiple robots can emerge cooperative behaviors through co-evolutionary processes. As an example task, a simpli ed soccer game with three learning robots is selected and a genetic programming method is applied to individual population corresponding to each robot so as...

Cooperative Behavior Acquisition in a Multiple Mobile Robot Environment by Co-evolution

Co-evolution has been receiving increased attention as a method for multi agent simultaneous learning. This paper discusses how multiple robots can emerge cooperative behaviors through co-evolutionary processes. As an example task, a simpli ed soccer game with three learning robots is selected and a GP (genetic programming) method is applied to individual population corresponding to each robot ...

Cooperative Co-evolutionary Algorithm - How to Evaluate a Module ?

When we talk about co-evolution, we often consider it as competitive co-evolution (CompCE). Examples include co-evolution of training data and neural networks, co-evolution of game players, and so on. Recently, several researchers have studied another kind of co-evolution — cooperative co-evolution (CoopCE). While CompCE tries to get more competitive individuals through evolution, the goal of C...

Co-evolution of cooperation in a pursuit evasion game

This research concems the comparison of different artificial evolution approaches to the design of cooperative behavior in a team of simulated mobile robots co-evolved against a second team. The first and second approaches, termed single pool and plasticiry, are characterized by robots that share a single genotype, though the plasticity approach includes a leaning mechanism. The third approach,...