A biologically based model for the integration of sensory-motor contingencies in rules and plans: a prefrontal cortex based extension of the Distributed Adaptive Control architecture.

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 Bull

journal_title

Brain research bulletin

authors

Duff A,Fibla MS,Verschure PF

doi

10.1016/j.brainresbull.2010.11.008

subject

Has Abstract

pub_date

2011-06-30 00:00:00

pages

289-304

issue

5

eissn

0361-9230

issn

1873-2747

pii

S0361-9230(10)00266-2

journal_volume

85

pub_type

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