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
23 January 2018
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
.
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Conference or Workshop Item
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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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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
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Date deposited: 23 Sep 2020 16:31
Last modified: 17 Mar 2024 04:02
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Contributors
Author:
Vahid Yazdanpanah
Author:
Mehdi Dastani
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