A neurocomputational approach to decision making and aging (2005)
Authors
Abstract
The adaptive toolbox approach to human rationality analyzes envi- ronments and proposes detailed cognitive mechanisms that exploit the struc- tures identified. This paper argues that the posited mechanisms are suitable for implementation as connectionist networks and that this allows (1) integrating behavioral, biological, and information processing levels, an attractive feature of any approach in cognitive science; and (2) addressing developmental issues. These claims are supported by reporting implementations of decision strategies using simple recurrent networks and showing how age differences related to at- tenuation in cholaminergic modulation can be modeled by lowering the G pa- rameter in these networks. This approach is shown to be productive by deriving empirically testable predictions of age differences in decision making tasks.
Bibliographic entry
Mata, R. (2005). A neurocomputational approach to decision making and aging. In W. Duch, J. Kacprzyk, E. Oja, & S. Zadrozny (Eds.), Artificial neural networks: Formal models and their applications - ICANN 2005. 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings (Lecture notes in computer science No. 3697) (Vol. II, pp. 411-416).
Miscellaneous
| Publication year | 2005 | |
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| Document type: | In book | |
| Publication status: | Published | |
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