Paper Info
Title
Norms in artificial decision making
Abstract
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.
Year
DOI
Venue
1999
10.1023/A:1008311429414
Artif. Intell. Law
Keywords
Field
DocType
real-time decision making,decisions with risk,decisions un- der uncertainty,social space,decisions under uncertainty,social space.,norm,constraint,vague information,policy,decisions under uncer- tainty
Computer science,Normative,Norm (social),Knowledge management,Social space,Business decision mapping,R-CAST,Management science
Journal
Volume
Issue
ISSN
7
1
1572-8382
Citations 
PageRank 
References 
24
2.37
6
Authors
1
Name
Order
Citations
PageRank
Magnus Boman122749.08