Probabilistic Argumentation for Decision Making A Toolbox and Applications
Keywords:
Probabilistic Argumentation, Decision Making, Reasoning Attitudes, Smart GridAbstract
Argumentation frameworks developed in AI have greatly eased the developments of many kinds of intelligent systems. Recently, to deal with quantitative uncertainties, several authors integrate probabilities into such frameworks to propose probabilistic argumentation frameworks. However, the developments of intelligent systems using these new frameworks are still hindered by the lack of programming tools and environments. In a previous work, interested in the Probabilistic Assumption-based Argumentation framework (PABA), we have developed several inference procedures and a multi-semantics reasoning engine for it. In the current work, utilizing this engine, we propose a programming toolbox for developing argumentation-based decision systems capable of capturing different reasoning attitudes of decision makers in the presence of qualitative and quantitative uncertainties. We demonstrate the toolbox using examples of commonsense reasoning as well as reasoning by experts in smart electrical grid.
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