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URN: urn:nbn:de:0030-drops-9267
URL: http://drops.dagstuhl.de/opus/volltexte/2007/926/

Nickles, Matthias

Towards a Logic of Graded Normativity and Norm Adherence

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Abstract

A key focus of contemporary agent-oriented research and engineering is on open multiagent systems composed of truly autonomous, interacting agents. This poses new challenges, as entities in open systems are usually more or less mentally opaque (e.g., possibly insincere), and can enter and leave the system at will. Thus interactions among such black- or gray-box entities usually imply more or less severe contingencies in behavior: Among other issues, in principle, the adherence of agents to norms cannot be guaranteed in such systems. As a response to this issue, this paper proposes a logic-based approach based on the notion of (possibly probabilistic) behavioral expectations, which are stylized either as adaptive (i.e., predictive) or normative (i.e., prescriptive). Some features of this approach are the enabling of "soft norms" which are automatically weakened to some degree if contradicted at runtime, and the possibility to quantify norm adherence using the measurement of norm deviance.

BibTeX - Entry

@InProceedings{nickles:DSP:2007:926,
  author =	{Matthias Nickles},
  title =	{Towards a Logic of Graded Normativity and Norm Adherence},
  booktitle =	{Normative Multi-agent Systems},
  year =	{2007},
  editor =	{Guido Boella and Leon van der Torre and Harko Verhagen },
  number =	{07122},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Internationales Begegnungs- und Forschungszentrum f{\"u}r Informatik (IBFI), Schloss Dagstuhl, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2007/926},
  annote =	{Keywords: Computational Norms, Dynamic Logic, Computational Expectations,  Social AI}
}

Keywords: Computational Norms, Dynamic Logic, Computational Expectations, Social AI
Seminar: 07122 - Normative Multi-agent Systems
Issue date: 2007
Date of publication: 12.03.2007


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