A computational knowledge-based model for emulating human performance in the Iowa Gambling Task

A new computational knowledge-based model for emulating human performance in decision making tasks is proposed. This model is mainly based on the knowledge acquired through past experience, the knowledge extracted from the environment and the relationships between the concepts that represent these t...

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Veröffentlicht in:	Neural networks 2012-09, Vol.33, p.168-180
Hauptverfasser:	Iglesias, A., del Castillo, M.D., Serrano, J.I., Oliva, J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Applied sciences Artificial intelligence Computation Computational Biology - methods Computational modeling Computer science control theory systems Connectionism. Neural networks Connectionist models Decision making Decision Making - physiology Decision theory. Utility theory Exact sciences and technology Female Gambling Gambling - psychology Human performance Humans Knowledge base Male Mathematical analysis Models, Neurological Neural networks Neuropsychological Tests Operational research and scientific management Operational research. Management science Psychomotor Performance - physiology Reproducibility of Results Risk theory. Actuarial science Tasks
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