Abstract
The adaptive toolbox approach to human rationality analyzes environments and proposes detailed cognitive mechanisms that exploit the structures 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 attenuation in cholaminergic modulation can be modeled by lowering the G parameter in these networks. This approach is shown to be productive by deriving empirically testable predictions of age differences in decision making tasks.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
