Investigation of Warrior Robots Behavior by Using Evolutionary Algorithms

TL;DR

This paper reviews how evolutionary algorithms can be used to simulate and analyze the collective behavior of warrior robots, inspired by nature and social insects, through simple simulations.

Contribution

It introduces a method to model warrior robot behavior using evolutionary algorithms, demonstrating the potential for simple simulations to reflect complex collective actions.

Findings

Evolutionary algorithms can effectively simulate warrior robot behaviors.

Collective behavior in robots can be achieved without inherent intelligence.

Simulations show promising results for robot cooperation and organization.

Abstract

In this study, we review robots behavior especially warrior robots by using evolutionary algorithms. This kind of algorithms is inspired by nature that causes robots behaviors get resemble to collective behavior. Collective behavior of creatures such as bees was shown that do some functions which depended on interaction and cooperation would need to a well-organized system so that all creatures within it carry out their duty, very well. For robots which do not have any intelligence, we can define an algorithm and show the results by a simple simulation.