A Model of Normative Multi-agent Systems and Dynamic Relationships

Fabiola López y López, M. Luck

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution


For agents, one of the advantages of being part of a society is the satisfaction of those goals whose success depends on the abilities of other agents. In turn, societies are controlled by norms and, consequently, agents must be able first to model the society in which they exist, and then to identify the different relationships, due to norms, in which they might be involved in order to act appropriately. Both of these could mean the difference between the success or failure of their goals. To this end, this paper focuses on the identification of the basic components of norm-based systems, and on representing and analysing the dynamic relationships between member agents which result from the processing of norms.
Original languageEnglish
Title of host publicationRegulated Agent-Based Social Systems
Subtitle of host publicationFirst International Workshop, RASTA 2002, Bologna, Italy, July 16, 2002, Revised Selected and Invited Papers
EditorsD. Moldt , M. Paolucci, Gabriela Lindemann
Place of PublicationBerlin and New York
PublisherSpringer Finance
Number of pages22
Publication statusPublished - 2004

Publication series

NameLecture Notes in Artificial Intelligence
ISSN (Print)0302-9743


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