Multi-robot learning using non-deterministic argument games Online publication date: Thu, 30-Sep-2010
by G.S. Mahalakshmi, T.V. Geetha
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 3, No. 4, 2010
Abstract: Multi-robot learning becomes interesting and less complex when the participating robots work in coordination. Both centralised and de-centralised control mechanisms of robots exist in the robot literature. However, the choice of these mechanisms varies with the objective of multi-robot learning. This article presents a de-centralised approach to cooperative knowledge sharing among a team of robots which follow non-deterministic argument gaming. The team of robots navigates over a military area and share ideas related to the objects they perceive during their expedition. The knowledge sharing protocol regulates the entire argumentation scenario. The initial predicates of world knowledge of every robot are represented as ontology. The ontology follows a special structure called Nyaya ontology reference model which takes inspirations from Indian philosophy. The entities share their knowledge by accepting or opposing the proposed arguments referring to the inferences deposited in their knowledge bases.
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