Norm analysis and norm-governed planning
Norm analysis and norm-governed planning
This software package contains the implementation of the following algorithms: (1) a method to compute a preference relation given a set of norms with contrary-to-duty structures and partial order over violation severity; (2) the Dec-POMDP and N-Dec-POMDP multi-agent planners that can work with a qualitative reward function, representing a preference relation; and (3) a parser and reasoner for the COIR normative language (optional). The license for the use of this software is based on BSD, and a free commercial license is available; details provided in the source code.
Please see the README.txt file for further information.
CRC32 checksum for this file is F1440475
File size: 96669676 Bytes
artificial intelligence, planning, norms, POMDP
University of Southampton
Gasparini, Luca
15ef6336-0f4e-4acf-8989-c6797c2e6120
Norman, Timothy
663e522f-807c-4569-9201-dc141c8eb50d
Kollingbaum, Martin J.
015a7895-2e8f-4e21-a2fc-a2fa1fae37df
Gasparini, Luca
15ef6336-0f4e-4acf-8989-c6797c2e6120
Norman, Timothy
663e522f-807c-4569-9201-dc141c8eb50d
Kollingbaum, Martin J.
015a7895-2e8f-4e21-a2fc-a2fa1fae37df
Gasparini, Luca, Norman, Timothy and Kollingbaum, Martin J.
(2017)
Norm analysis and norm-governed planning.
University of Southampton
doi:10.5258/SOTON/D0139
[Dataset]
Abstract
This software package contains the implementation of the following algorithms: (1) a method to compute a preference relation given a set of norms with contrary-to-duty structures and partial order over violation severity; (2) the Dec-POMDP and N-Dec-POMDP multi-agent planners that can work with a qualitative reward function, representing a preference relation; and (3) a parser and reasoner for the COIR normative language (optional). The license for the use of this software is based on BSD, and a free commercial license is available; details provided in the source code.
Please see the README.txt file for further information.
CRC32 checksum for this file is F1440475
File size: 96669676 Bytes
Archive
n_dec_pomdp.7z
- Software
More information
Published date: 2017
Keywords:
artificial intelligence, planning, norms, POMDP
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 411820
URI: http://eprints.soton.ac.uk/id/eprint/411820
PURE UUID: 4433137c-ba8e-45ad-aac4-b7a47a75e2e1
Catalogue record
Date deposited: 26 Jun 2017 16:34
Last modified: 28 Feb 2024 02:55
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Contributors
Creator:
Luca Gasparini
Creator:
Martin J. Kollingbaum
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