his　paper　mainly　discussed　cognitive　strategy　application　in　human　problem　solving　through　mind　simulation　combined　brain-imaging　experiment.　An　artificial　intelligent　cognitive　system　based　on　ACT-R　(Adaptive　Control　of　Thought-Rational)　theory　was　built　to　simulate　simplified　44　Sudoku　problems.　An　fMRI　(functional　Magnetic　Resonance　Imaging)　experiment　was　preformed　to　collect　real　data　on　brain　activation　pattern　and　to　validate　the　system.　It　was　assumed　that　participants　used　goal　recursion　and　visual　perception　simultaneity　when　solving　problem.　Procedural　rules　integrated　both　strategies　were　introduced.　Based　on　the　assumption　and　procedural　knowledge,　the　ACT-R　cognitive　system　simulated　both　behavioral　processing　and　brain　activations.　Compared　ACT-R　predictions　and　fMRI　results,　difference　on　response　time　is　0.1　and　the　average　correlation　on　brain　activation　pattern　of　BOLD　(Blood　Oxygen　Level-Dependent)　response　is　about　0.9.　The　cooperation　of　goal　module　and　visual　module　is　illustrated　to　confirm　the　combination　strategy.　This　study　shows　that　combination　of　goal　recursive　strategy　and　visual　perceptional　strategy　is　effective　in　speeding　up　human　problem　solving.　This　study　may　shed　light　on　the　research　of　human-computer　interface　on　intelligent　system.　©　2010　IEEE.