NAAMSI

Non-Additive Axiomatic Models of Strategic Interaction

 Coordinatore UNIVERSITE PAUL SABATIER TOULOUSE III 

 Organization address address: ROUTE DE NARBONNE 118
city: TOULOUSE CEDEX 9
postcode: 31062

contact info
Titolo: Ms.
Nome: Carole
Cognome: Matthia
Email: send email
Telefono: 33561556604
Fax: 33561557261

 Nazionalità Coordinatore France [FR]
 Totale costo 201˙932 €
 EC contributo 201˙932 €
 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-2011-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-09-01   -   2014-08-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITE PAUL SABATIER TOULOUSE III

 Organization address address: ROUTE DE NARBONNE 118
city: TOULOUSE CEDEX 9
postcode: 31062

contact info
Titolo: Ms.
Nome: Carole
Cognome: Matthia
Email: send email
Telefono: 33561556604
Fax: 33561557261

FR (TOULOUSE CEDEX 9) coordinator 201˙932.40

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 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

utility    cooperative    theories    probability    theory    decision    notions    probabilistic    uncertainty    logical    framework    formalization    additive    investigation    games    reasoning    alternative   

 Obiettivo del progetto (Objective)

'The aim of this project is twofold: (1) to provide an in-depth logical and axiomatic study of notions of expected utility based on non-additive measures of uncertainty, and (2) to apply this study to the investigation of alternative theories of non-cooperative games.

Probability Theory is the most common model in the formalization of approximate reasoning in Computer Science and Artificial Intelligence, and offers the formal basis for a theory of decision and games through the concept of expected utility. However, many situations in which inference under uncertainty is required cannot be properly formalized within the probabilistic framework. For this reason, other measures of uncertainty have been introduced, the most notable ones being non-additive measures such as imprecise probabilities, belief functions, and possibility and necessity measures.

The first part of this research aims at introducing many-valued logical systems to axiomatize, represent and reason about notions of expected utility based on non-additive uncertainty measures. This novel approach will allow to encode measure-theoretic and computational properties of non-probabilistic theories of decision in a purely logical framework.

The second part aims at investigating the fundamental notions of a theory of games based on the above characterizations of non-probabilistic notions of expected utility. The goal is to define the basic concepts and investigate the main mathematical properties of n-person non-cooperative games with complete and incomplete information, relying on forms of expected utility based on non-additive plausibility measures.

This research aims at developing cutting-edge investigation in the formalization of reasoning and decisions with uncertain information, by using uncertainty models alternative to probability theory. This will provide new foundations to theories of decision and strategic interaction that will have significant impact on other fields of research.'

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