Combined Goal Recursion Strategy and Visual Perception Strategy on Human Problem Solving and Cognitive System Simulation

摘要：

This paper mainly discussed cognitive strategy application in human problem solving through mind simulation combined brain-imaging experiment An artificial intelligent cognitive system based on ACTR (Adaptive Control of Thought-Rational) theory was built to simulate simplified 4x4 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 recursion strategy and visual perception strategy is effective in speeding up human problem solving. This study may shed light on the research of human-computer interface on intelligent system.

关键词： Problem solving cognitive strateg visual perception strategy goal recursion strategy cognitive simulation

作者: Rifeng Wang

作者单位: The International WIC Institute Beijing University of Technology Beijing, China Department of Computer Engineering Guangxi University of Technology Liuzhou,China

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 247-250

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）