Institutions Evolving Through the Mind. A Cognitive and Computational Approach (Contributo in volume (capitolo o saggio))

Type
Label
  • Institutions Evolving Through the Mind. A Cognitive and Computational Approach (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Alternative label
  • Andrighetto, Giulia; Giardini, Francesca; Conte, Rosaria (2012)
    Institutions Evolving Through the Mind. A Cognitive and Computational Approach
    College Publications Ltd, London (Regno Unito) in The goals of cognition. Essays in honor of Cristiano Castelfranchi, 2012
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Andrighetto, Giulia; Giardini, Francesca; Conte, Rosaria (literal)
Pagina inizio
  • 657 (literal)
Pagina fine
  • 674 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • DISCIPLINA DI RIFERIMENTO: Philosophy; AREA DI VALUTAZIONE: 11 - Scienze storiche, filosofiche, psicologiche e pedagogiche; ID_PUMA: /cnr.istc/2012-A1-015 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • The goals of cognition. Essays in honor of Cristiano Castelfranchi (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 18 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTC, Roma5-Palestro (literal)
Titolo
  • Institutions Evolving Through the Mind. A Cognitive and Computational Approach (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-84890-094-3 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriVolume
  • F. Paglieri, L. Tummolini, R. Falcone & M. Miceli (literal)
Abstract
  • In this paper, institutions are said to undergo evolutionary processes of a peculiar nature. Cognitive activities and representations affect institutional change, and play a decisive role in their selection and retention. Special attention is devoted to enforcing institutions that are hypothesized to have evolved from retaliatory to punishing, and even sanctioning, systems thanks to and by means of specific cognitive capacities. In this paper, we propose a simulation-based methodology in which artificial agents are modelled and observed to interact in a virtual setting, the simulated world, in order to experiment upon the conditions favouring institutional evolution. (literal)
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