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Quantified degrees of group responsibility: extended abstract

Quantified degrees of group responsibility: extended abstract
Quantified degrees of group responsibility: extended abstract
This paper builds on an existing notion of group responsibility and proposes two ways to define the degree of group responsibility: structural and functional degrees of responsibility. These notions measure the potential responsibilities of (agent) groups for avoiding a state of affairs. According to these notions, a degree of responsibility for a state of affairs can be assigned to a group of agents if, and to the extent that, the group has the potential to preclude the state of affairs.
Multiagent Systems, artificial Intelligence, Responsibility Reasoning
Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56
Dastani, Mehdi
44cecb91-95c6-4821-a307-c43e9434ea4a
Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56
Dastani, Mehdi
44cecb91-95c6-4821-a307-c43e9434ea4a

Yazdanpanah, Vahid and Dastani, Mehdi (2018) Quantified degrees of group responsibility: extended abstract. 27th Benelux Artificial Intelligence Conference, , Hasselt, Belgium. 05 - 06 Nov 2015. 2 pp .

Record type: Conference or Workshop Item (Other)

Abstract

This paper builds on an existing notion of group responsibility and proposes two ways to define the degree of group responsibility: structural and functional degrees of responsibility. These notions measure the potential responsibilities of (agent) groups for avoiding a state of affairs. According to these notions, a degree of responsibility for a state of affairs can be assigned to a group of agents if, and to the extent that, the group has the potential to preclude the state of affairs.

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More information

Published date: 23 January 2018
Additional Information: Presented in the 27th Belgian-Netherlands Conference on Artificial Intelligence (BNAIC 2015), Hasselt, Belgium
Venue - Dates: 27th Benelux Artificial Intelligence Conference, , Hasselt, Belgium, 2015-11-05 - 2015-11-06
Keywords: Multiagent Systems, artificial Intelligence, Responsibility Reasoning

Identifiers

Local EPrints ID: 444042
URI: http://eprints.soton.ac.uk/id/eprint/444042
PURE UUID: 55b805f3-17ee-427a-83ec-7331f0e20967
ORCID for Vahid Yazdanpanah: ORCID iD orcid.org/0000-0002-4468-6193

Catalogue record

Date deposited: 23 Sep 2020 16:31
Last modified: 17 Mar 2024 04:02

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Contributors

Author: Vahid Yazdanpanah ORCID iD
Author: Mehdi Dastani

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