David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Artificial Intelligence and Law 7 (1):17-35 (1999)
A method for forcing norms onto individual agents in a multi-agent system is presented. The agents under study are supersoft agents: autonomous artificial agents programmed to represent and evaluate vague and imprecise information. Agents are further assumed to act in accordance with advice obtained from a normative decision module, with which they can communicate. Norms act as global constraints on the evaluations performed in the decision module and hence no action that violates a norm will be suggested to any agent. Further constraints on action may then be added locally. The method strives to characterise real-time decision making in agents, in the presence of risk and uncertainty.
|Keywords||norm constraint real-time decision making decisions with risk decisions under uncertainty vague information policy social space|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Bastin Tony Roy Savarimuthu, Stephen Cranefield, Maryam A. Purvis & Martin K. Purvis (2013). Identifying Prohibition Norms in Agent Societies. Artificial Intelligence and Law 21 (1):1 - 46.
Martin Neumann (2012). The Cognitive Legacy of Norm Simulation. Artificial Intelligence and Law 20 (4):339-357.
Similar books and articles
Wendell Wallach, Stan Franklin & Colin Allen (2010). A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents. Topics in Cognitive Science 2 (3):454-485.
Maxime Morge (2005). Collective Decision-Making Process to Compose Divergent Interests and Perspectives. Artificial Intelligence and Law 13 (1):75-92.
Frank Dignum (1999). Autonomous Agents with Norms. Artificial Intelligence and Law 7 (1):69-79.
John L. Pollock, Against Optimality: Logical Foundations for Decision-Theoretic Planning in Autonomous Agents.
Paul Weirich (2004). Realistic Decision Theory: Rules for Nonideal Agents in Nonideal Circumstances. OUP Usa.
Fernando Tohmé (2002). Negotiation and Defeasible Decision Making. Theory and Decision 53 (4):289-311.
Henrique Lopes Cardoso & Eugénio Oliveira (2008). Electronic Institutions for B2b: Dynamic Normative Environments. [REVIEW] Artificial Intelligence and Law 16 (1):107 - 128.
Behrouz Homayoun Far & Romi Satria Wahono (2003). Cognitive-Decision-Making Issues for Software Agents. Brain and Mind 4 (2):239-252.
Paul Weirich (2010). Optimization and Improvement. [REVIEW] Philosophical Studies 148 (3):467 - 475.
Added to index2009-01-28
Total downloads24 ( #122,666 of 1,725,578 )
Recent downloads (6 months)9 ( #72,348 of 1,725,578 )
How can I increase my downloads?