Neural executive attentional control in robots

Authors:
Jason Garforth;Sue Mcliale;Anthony Meehan
Affiliations:
Department of Computing, The Open University, Milton Keynes, UK;Department of Psychology, Sheffield Hallam University, Sheffield, UK;Department of Computing, The Open University, Milton Keynes, UK
Venue:
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Year:
2003

Citing 2
Cited 0

Layered control architectures in robots and vertebrates

Adaptive Behavior
Computational principles of mobile robotics

Computational principles of mobile robotics

Quantified Score

Hi-index	0.00

Visualization

Abstract

We have developed a robot controller based upon a neural implementation of Norman and Shallice's model of executive attentional control in humans. A simulation illustrates how attentional control leads to the suppression of action selection errors in neurally controlled robots. A related demonstration illustrates how lesioning of the control architecture leads to behavioural pathologies that resemble those seen in human patients with damage to the prefrontal cortex.