Modelling the halo effect by using automata networks

Philippe Robert Demontrond () and Daniel Thiel ()
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Philippe Robert Demontrond: CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique
Daniel Thiel: CEPN - Centre d'Economie de l'Université Paris Nord - UP13 - Université Paris 13 - USPC - Université Sorbonne Paris Cité - CNRS - Centre National de la Recherche Scientifique

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Abstract: We will try to show how automata network models can conceptualize and simulate the halo effect in human attitudes faced with a new "offer" which can be weight up according to different formal attributes. From a first presentation of the classical representations of the attitude concept using a cognitivist inspiration, we will propose a connectionist approach based on automata networks. Then, we will show how this kind of models can represent in term of conceptual and formal unification - by integration in the same movement based on the Gestalt and cognitive perspectives, the human attitudes forming process and the halo effect. We based our connexionnist model on the Beckwith & Lehman multiattributes theory and apply it to consumer food product choice.

Date: 2011-08-29
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Published in EMPG 2011, European Mathematical Psychology Group (EMPG), Aug 2011, Paris, France

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02159132

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