Treffer: Decision support for ethical problem solving : A multi-agent approach
Title:
Decision support for ethical problem solving : A multi-agent approach
Authors:
Source:
Decision support systems. 43(4):1571-1587
Publisher Information:
Amsterdam: Elsevier Science, 2007.
Publication Year:
2007
Physical Description:
print, 80 ref
Original Material:
INIST-CNRS
Subject Terms:
Electronics, Electronique, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Théorie de la décision. Théorie de l'utilité, Decision theory. Utility theory, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Intelligence artificielle, Artificial intelligence, Aide décision, Decision aid, Ayuda decisión, Analyse comportementale, Behavioral analysis, Análisis conductual, Décision multiple, Multiple decision, Decisión múltiple, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Interface utilisateur, User interface, Interfase usuario, Planification, Planning, Planificación, Prise décision, Decision making, Toma decision, Psychologie, Psychology, Psicología, Résolution problème, Problem solving, Resolución problema, Système aide décision, Decision support system, Sistema ayuda decisíon, Système multiagent, Multiagent system, Sistema multiagente, Modèle BDI, Belief desire intention model, Modelo BDI, Decision support, Ethical problem solving, Multi-agent systems
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Computer Science and Mathematics, Marist College, 3399 North Road, Poughkeepsie, NY 12601, United States
Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, United States
Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, United States
ISSN:
0167-9236
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Operational research. Management
Operational research. Management
Accession Number:
edscal.19022021
Database:
PASCAL Archive
Weitere Informationen
This paper suggests that a multi-agent based decision aid can help individuals and groups consider ethical perspectives in the performance of their tasks. Normative and descriptive theories of ethical problem solving are reviewed. Normative theories are postulated as criteria used with practical reasoning during the problem solving process. Four decision aid roles are proposed: advisor, group facilitator, interaction coach, and forecaster. The research describes how the Theory of Planned Behavior from psychology can inform agent processing. The Belief-Desire-Intention model from artificial intelligence is discussed as a method to support user interaction, simulate problem solving, and predict future outcomes.