An Application of Defeasible Logic Programming to Decision Making in a Robotic Environment

Decision making models for autonomous agents have received increased attention, particularly in the field of intelligent robots. In this paper we will show how a Defeasible Logic Programming approach with an underlying argumentation based semantics, could be applied in a robotic domain for knowledge representation and reasoning about which task to perform next. At this end, we have selected a simple application domain, consisting of a micro-world environment using real and simulated robots for cleaning tasks.

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