Artificial Intelligence
Probabilistic Horn abduction and Bayesian networks
Artificial Intelligence
Artificial Intelligence
A Query-Driven Anytime Algorithm for Argumentative and Abductive Reasoning
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
Assumption-Based Modeling Using ABEL
ECSQARU/FAPR '97 Proceedings of the First International Joint Conference on Qualitative and Quantitative Practical Reasoning
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Most formal approaches to argumentative reasoning under uncertainty focus on the analysis of qualitative aspects. An exception is the framework of probabilistic argumentation systems. Its philosophy is to include both qualitative and quantitative aspects through a simple way of combining logic and probability theory. Probabilities are used to weigh arguments for and against particular hypotheses. ABEL is a language that allows to describe probabilistic argumentation systems and corresponding queries about hypotheses. It then returns arguments and counter-arguments with corresponding numerical weights.