NINA

Norms in Action: Designing and Comparing Regulatory Mechanisms for Multi-Agent Systems

Coordinatore	IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE    more  Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD city: LONDON postcode: SW7 2AZ contact info Titolo: Mr. Nome: Shaun Cognome: Power Email: send email Telefono: +44 207 594 8773 Fax: +44 207 594 8609
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	221˙606 €
EC contributo	221˙606 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2012-IEF
Funding Scheme	MC-IEF
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-04-01   -   2015-03-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE  Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD city: LONDON postcode: SW7 2AZ contact info Titolo: Mr. Nome: Shaun Cognome: Power Email: send email Telefono: +44 207 594 8773 Fax: +44 207 594 8609	UK (LONDON)	coordinator	221˙606.40

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 Obiettivo del progetto (Objective)

'In multi-agent systems, where human and software entities freely interact, the goals of the individual components are often different and at times utterly incompatible, hindering the possibility of reaching desirable and efficient outcomes. In such situations there is a strong need of an explicit regulation of individual behaviour, whose introduction has traditionally followed two alternative approaches, well-known in the economics literature: the 'spontaneous order' approach, which studies how norms result from endogenous agreements among rational individuals, and the 'mechanism design' approach, which studies how norms are exogenously designed in order to reach desirable properties. Before endorsing either approach, however, we need to confront ourselves with the unique structural features of each interaction: some may not be suitable for an endogenous agreement (e.g. absence of communication channels, too high computational requirements etc.) while others do not allow for an exogenous constraint (e.g. impossibility of verifying violations, impossibility of restraining behaviour etc.). The project 'Norms in Action: Designing and Comparing Regulatory Mechanisms for Multi-Agent Systems' (NINA) will study norm introduction in multi-agent systems within a unified formal framework and will deliver an automatic procedure to suggest the policy that suits best each interaction. The project will be grounded in Dr. Turrini’s PhD work, extending and generalizing his models of dependence relations in such systems, tailored to the expertise of the Department of Computing, Imperial College London, making use of their modelling and verification techniques, and highly interdisciplinary, analyzing game-theoretical models with computer science tools.'