Formalising argumentative story-based analysis of evidence

Authors:
F. J. Bex;H. Prakken;B. Verheij
Affiliations:
University of Groningen, the Netherlands;University of Groningen, Utrecht University;University of Groningen, the Netherlands
Venue:
Proceedings of the 11th international conference on Artificial intelligence and law
Year:
2007

Citing 10
Cited 11

Embracing causality in fault reasoning

Artificial Intelligence
On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games

Artificial Intelligence
The law as a dynamic interconnected system of states of affairs: a legal top ontology

International Journal of Human-Computer Studies - Model—based legal knowledge engineering
Cognitive Carpentry: A Blueprint for how to Build a Person

Cognitive Carpentry: A Blueprint for how to Build a Person
Symbolic diagnosis and its formalisation

The Knowledge Engineering Review
Towards a formal account of reasoning about evidence: argumentation schemes and generalisations

Artificial Intelligence and Law - Law, logic and defeasibility
Dialectical argumentation with argumentation schemes: an approach to legal logic

Artificial Intelligence and Law - Law, logic and defeasibility
Anchored Narratives in Reasoning about Evidence

Proceedings of the 2006 conference on Legal Knowledge and Information Systems: JURIX 2006: The Nineteenth Annual Conference
AVER: Argument Visualization for Evidential Reasoning

Proceedings of the 2006 conference on Legal Knowledge and Information Systems: JURIX 2006: The Nineteenth Annual Conference
Knowledge based crime scenario modelling

Expert Systems with Applications: An International Journal

AVERs: an argument visualization tool for representing stories about evidence

Proceedings of the 11th international conference on Artificial intelligence and law
Introduction to special issue on modelling legal cases

Artificial Intelligence and Law
An object model for use in oral and written advocacy

Artificial Intelligence and Law
Did He Jump or Was He Pushed? Abductive Practical Reasoning

Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
Legal Theory, Sources of Law and the Semantic Web

Proceedings of the 2009 conference on Legal Theory, Sources of Law and the Semantic Web
Investigating Stories in a Formal Dialogue Game

Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
A proposal for evidential reasoning about motives

Proceedings of the 12th International Conference on Artificial Intelligence and Law
Did he jump or was he pushed?: abductive practical reasoning

Artificial Intelligence and Law
A hybrid formal theory of arguments, stories and criminal evidence

Artificial Intelligence and Law
Legal shifts in the process of proof

Proceedings of the 13th International Conference on Artificial Intelligence and Law
Using event progression to enhance purposive argumentation in the value judgment formalism

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the present paper, we provide a formalised version of a merged argumentative and story-based approach towards the analysis of evidence. As an application, we are able to show how our approach sheds new light on inference to the best explanation with case evidence. More specifically, it will be clarified how the events in a case story that are considered to be proven abductively explain the otherwise unproven events of the case story. We compare our approach with existing AI work on modelling legal reasoning with evidence.