Unified theories of cognition
A heuristic for the pickup and delivery traveling salesman problem
Computers and Operations Research
Computer science as empirical inquiry: symbols and search
Communications of the ACM
Human Problem Solving
Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-paced Tower of Hanoi
Journal of Cognitive Neuroscience
Artificial Intelligence
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
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
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Heuristic search is the largest qualitative gap between human performance and computer performance. The dominant study in heuristic search is an empirical way in computer science especially in artificial intelligence. In this paper, we examine the factors that are impact heuristic search from the perspective of human brain. Subjects performed a set of heuristic problems in functional Magnetic Resonance Imaging (fMRI) environment. Then a computational cognitive model is set up to simulate processes of information processing of the heuristics problem solving. During the modeling, we found that two main factors, visual attention and goal control, are responsible for speeding up heuristic search in problem solving, where visual attention captures a target selectively with the goal state-directed control. The interaction between these two cognitive systems speeds up the heuristic search, which is superior to machine intelligence. We demonstrate this conclusion by results of modeling, including cost analysis in time, information processing operations, and fitness of fMRI results and model prediction.