Shortest paths between regular states of the tower of Hanoi
Information Sciences: an International Journal
The Relationship of Three Cortical Regions to an Information-Processing Model
Journal of Cognitive Neuroscience
Endogenous control and task representation: An fmri study in algebraic problem-solving
Journal of Cognitive Neuroscience
A mathematical model and a computer tool for the Tower of Hanoi and Tower of London puzzles
Information Sciences: an International Journal
Simulating human heuristic problem solving: a study by combining ACT-R and fMRI brain image
BI'09 Proceedings of the 2009 international conference on Brain informatics
Simulation of human episodic memory by using a computational model of the hippocampus
Advances in Artificial Intelligence - Special issue on artificial intelligence in neuroscience and systems biology: lessons learnt, open problems, and the road ahead
Interaction between visual attention and goal control for speeding up human heuristic search
BI'10 Proceedings of the 2010 international conference on Brain informatics
The role of posterior parietal cortex in problem representation
BI'10 Proceedings of the 2010 international conference on Brain informatics
Exploring brain activation patterns during heuristic problem solving using clustering approach
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
Observing and modeling cognitive events through event-related potentials and ACT-R
Cognitive Systems Research
Inductive rule learning on the knowledge level
Cognitive Systems Research
Personal Publication Assistant: Abstract recommendations by a cognitive model
Cognitive Systems Research
Rule acquisition in the proceeding of heuristic sudoku solving
BI'12 Proceedings of the 2012 international conference on Brain Informatics
Hi-index | 0.00 |
Previous research has found three brain regions for tracking components of the ACT-R cognitive architecture: a posterior parietal region that tracks changes in problem representation, a prefrontal region that tracks retrieval of task-relevant information, and a motor region that tracks the programming of manual responses. This prior research has used relatively simple tasks to incorporate a slow event-related procedure, allowing the blood oxygen level-dependent (BOLD) response to go back to baseline after each trial. The research described here attempts to extend these methods to tracking problem solving in a complex task, the Tower of Hanoi, which involves many complex steps of cognition and motor actions in rapid succession. By tracking the activation patterns in these regions, it is possible to predict with intermediate accuracy when participants are planning a future sequence of moves. The article describes a cognitive model in the ACT-R architecture that is capable of explaining both the latency data in move generation and the BOLD responses in these three regions.