Christiansen grammar evolution for the modelling of psychological processes
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
The European Multidisciplinary Society for Modelling and Simulation TechnologyDate
2007Citation
5th International Industrial Simulation Conference 2007 : ISC 2007. Ed. Jaap Ottjes and Hans Veeke. Ostend : Eurosis/Eti, 2007. 99-104ISBN
9789077381342Funded by
This work has been partially sponsored by the Spanish Ministry of Education and Science (MEC), project number TSI2005-08225- C07-06.Subjects
Evolutionary computing; Associative learning; Modelling; Model design; InformáticaNote
This is an electronic version of the paper presented at the International Industrial Simulation Conference (ISC 2007), held in Delft (The Netherlands)Rights
© EUROSIS-ETI 2007Abstract
Psychologists have developed models of associative learning
for more than 30 years. Despite the strong efforts made, they
still suffer many shortcomings. We have tried to build an
integral model of habituation, the simplest type of learning
within the area of associative learning and the basic support
for other types. To overcome the deficiencies of traditional
models, we have made used of Christiansen Grammar Evolution.
This evolutionary technique is capable of automatically
search for a target expression (the model) in a given formal
language (the formalism of the model). Under this perspective,
that we call Automatic Modelling, we have found models
of habituation with interesting characteristics.
Files in this item
Google Scholar:Rosal García, Emilio del
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Ortega de la Puente, Alfonso
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Alfonseca, Manuel
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Cruz Echeandía, Marina de la
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