Abstract:
:Intelligence depends on the ability of the brain to acquire and apply rules and representations. At the neuronal level these properties have been shown to critically depend on the prefrontal cortex. Here we present, in the context of the Distributed Adaptive Control architecture (DAC), a biologically based model for flexible control and planning based on key physiological properties of the prefrontal cortex, i.e. reward modulated sustained activity and plasticity of lateral connectivity. We test the model in a series of pertinent tasks, including multiple T-mazes and the Tower of London that are standard experimental tasks to assess flexible control and planning. We show that the model is both able to acquire and express rules that capture the properties of the task and to quickly adapt to changes. Further, we demonstrate that this biomimetic self-contained cognitive architecture generalizes to planning. In addition, we analyze the extended DAC architecture, called DAC 6, as a model that can be applied for the creation of intelligent and psychologically believable synthetic agents.
journal_name
Brain Res Bulljournal_title
Brain research bulletinauthors
Duff A,Fibla MS,Verschure PFdoi
10.1016/j.brainresbull.2010.11.008subject
Has Abstractpub_date
2011-06-30 00:00:00pages
289-304issue
5eissn
0361-9230issn
1873-2747pii
S0361-9230(10)00266-2journal_volume
85pub_type
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