Connectionist Models of Decision Making
Author(s) -
Ángel Iglesias Alonso,
M. Dolores del Castillo,
Jericho Ivan D. Ignacio,
Jesus Oliv
Publication year - 2010
Publication title -
intech ebooks
Language(s) - English
Resource type - Book series
DOI - 10.5772/39465
Subject(s) - connectionism , computer science , cognitive science , artificial intelligence , psychology , artificial neural network
This chapter discusses some approaches to computational modelling of decision making. Concretely, it concerns with connectionist models of decision making and it contributes to the categorization of such models. The models presented in this chapter are algorithmic and structural descriptions of the mental process of decision making. First of all, there are some definitions that must be stated in this chapter. A decision occurs when a person faces several options (alternatives), then evaluates the consequences of choosing each alternative and, finally, selects one depending on her/his preferences (Rustichini, 2009). Preference is an abstract relation between two options: when presented with options
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