An integrated theory of causal scenarios and evidential arguments

F.J. Bex

doi:10.1145/2746090.2746094

An integrated theory of causal scenarios and evidential arguments

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In the process of proof alternative stories that explain 'what happened' in a case are tested using arguments based on evidence. Building on the author's earlier hybrid theory, this paper presents a formal theory that combines causal stories and evidential arguments, further integrating the different types of reasoning in a framework for structured argumentation. This then allows for correct reasoning with causal and evidential rules, and further integrates arguments and stories by grounding them both in well-known dialectical argumentation semantics.

Original language	English
Title of host publication	Proceedings of the 15th International Conference on Artificial Intelligence and Law
Publisher	Association for Computing Machinery
Pages	13-22
ISBN (Print)	978-1-4503-3522-5
DOIs	https://doi.org/10.1145/2746090.2746094
Publication status	Published - 2015

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10.1145/2746090.2746094

http://www.florisbex.com/papers/ICAIL15.pdf

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title = "An integrated theory of causal scenarios and evidential arguments",

abstract = "In the process of proof alternative stories that explain 'what happened' in a case are tested using arguments based on evidence. Building on the author's earlier hybrid theory, this paper presents a formal theory that combines causal stories and evidential arguments, further integrating the different types of reasoning in a framework for structured argumentation. This then allows for correct reasoning with causal and evidential rules, and further integrates arguments and stories by grounding them both in well-known dialectical argumentation semantics.",

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AB - In the process of proof alternative stories that explain 'what happened' in a case are tested using arguments based on evidence. Building on the author's earlier hybrid theory, this paper presents a formal theory that combines causal stories and evidential arguments, further integrating the different types of reasoning in a framework for structured argumentation. This then allows for correct reasoning with causal and evidential rules, and further integrates arguments and stories by grounding them both in well-known dialectical argumentation semantics.

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DO - 10.1145/2746090.2746094

M3 - Conference contribution

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BT - Proceedings of the 15th International Conference on Artificial Intelligence and Law

PB - Association for Computing Machinery

ER -

An integrated theory of causal scenarios and evidential arguments

Abstract

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