Embracing causality in fault reasoning
Artificial Intelligence
Towards a formal account of reasoning about evidence: argumentation schemes and generalisations
Artificial Intelligence and Law - Law, logic and defeasibility
Knowledge based crime scenario modelling
Expert Systems with Applications: An International Journal
Formalising argumentative story-based analysis of evidence
Proceedings of the 11th international conference on Artificial intelligence and law
AVERs: an argument visualization tool for representing stories about evidence
Proceedings of the 11th international conference on Artificial intelligence and law
AVER: Argument Visualization for Evidential Reasoning
Proceedings of the 2006 conference on Legal Knowledge and Information Systems: JURIX 2006: The Nineteenth Annual Conference
Did he jump or was he pushed?: abductive practical reasoning
Artificial Intelligence and Law
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This paper concerns the reasoning with stories, evidence and generalisations in a legal context. We will make some notions from the existing Anchored Narratives theory more clear by making use of two formal techniques from AI, namely causal-abductive reasoning and default-style argumentation. We will propose a combination of these two formalisms which solves some of the problems of the causal-abductive approach.