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Distributed belief revision as applied within a descriptive model of jury deliberations

Distributed belief revision as applied within a descriptive model of jury deliberations

Dragoni, Aldo, Giorgini, Paolo and Nissan, Ephraim (2000) Distributed belief revision as applied within a descriptive model of jury deliberations. In: Proceedings of the AISB '00 Symposium on Artificial Intelligence and Legal Reasoning. AISB, UK, pp. 55-63.

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Abstract

Belief revision is a well-research topic within AI. We argue that the new model of distributed belief revision as discussed here is suitable for general modelling of judicial decision making, along with extant approach as known from jury research. The new approach to belief revision is of general interest, whenever attitudes to information are to be simulated within a multi-agent environment with agents holding local beliefs yet by interaction with, and influencing, other agents who are deliberating collectively. In the approach proposed, it's the entire group of agents, not an external supervisor, who integrate the different opinions. This is achieved through an election mechanism, The principle of "priority to the incoming information" as known from AI models of belief revision are problematic, when applied to factfinding by a jury. The present approach incorporates a computable model for local belief revision, such that a principle of recoverability is adopted. By this principle, any previously held belief must belong to the current cognitive state if consistent with it. For the purposes of jury simulation such a model calls for refinement. Yet we claim, it constitutes a valid basis for an open system where other AI functionalities (or outer stiumuli) could attempt to handle other aspects of the deliberation which are more specifi to legal narrative, to argumentation in court, and then to the debate among the jurors.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the AISB '00 Symposium on Artificial Intelligence and Legal Reasoning
Additional Information: [1] This paper was first presented at AISB'00, the Artificial Intelligence and the Simulation of Behaviour Convention, Time for AI and Society Symposium, held from 17-20 April 2000 in Birmingham, UK. The Convention was organized by the The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB).
Uncontrolled Keywords: belief revision, jury deliberations, communications technology
Subjects: K Law > K Law (General)
Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments: School of Computing & Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:00
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/438

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