A Game Theoretic Approach to Swarm Robotics | Zendy

Sidney Givigi | Zendy; Howard M. Schwartz | Zendy

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A Game Theoretic Approach to Swarm Robotics

Author(s) -

Sidney Givigi,

Howard M. Schwartz

Publication year - 2006

Publication title -

applied bionics and biomechanics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.397

H-Index - 23

eISSN - 1754-2103

pISSN - 1176-2322

DOI - 10.1155/2006/183949

Subject(s) - artificial intelligence , evolutionary robotics , robot , swarm robotics , set (abstract data type) , personality , reinforcement learning , process (computing) , computer science , swarm behaviour , robotics , behavior based robotics , machine learning , human–computer interaction , psychology , social psychology , programming language , operating system

In this article, we discuss some techniques for achieving swarm intelligent robots through the use of traits of personality. Traits of personality are characteristics of each robot that, altogether, define the robot's behaviours. We discuss the use of evolutionary psychology to select a set of traits of personality that will evolve due to a learning process based on reinforcement learning. The use of Game Theory is introduced, and some simulations showing its potential are reported.

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