Evaluating ethical decision making and computer use
Communications of the ACM
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Introducing PETE: computer support for teaching ethics
Proceedings of the 8th international conference on Artificial intelligence and law
Problem-Solving Processes in Humans and Computers: Theory and Research in Psychology and Artificial Intelligence
Extensionally defining principles and cases in ethics: an AI model
Artificial Intelligence - Special issue on AI and law
The dMARS Architecture: A Specification of the Distributed Multi-Agent Reasoning System
Autonomous Agents and Multi-Agent Systems
Software Piracy in the Workplace: A Model and Empirical Test
Journal of Management Information Systems
Four ethical issues of the information age
MIS Quarterly
Computational Models of Ethical Reasoning: Challenges, Initial Steps, and Future Directions
IEEE Intelligent Systems
Ethical Trust and Social Moral Norms Simulation: A Bio-inspired Agent-Based Modelling Approach
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Advisory services in the virtual world: an empowerment perspective
Electronic Commerce Research
Hi-index | 0.00 |
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.