Abstract
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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Ferretti, E., Errecalde, M., García, A.J., Simari, G.R. (2007). An Application of Defeasible Logic Programming to Decision Making in a Robotic Environment. In: Baral, C., Brewka, G., Schlipf, J. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2007. Lecture Notes in Computer Science(), vol 4483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72200-7_29
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DOI: https://doi.org/10.1007/978-3-540-72200-7_29
Publisher Name: Springer, Berlin, Heidelberg
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