Deductive and Inductive Ways of Investigation on Human Problem Solving

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In this paper, we discuss the relationship between the computational approach and the psychological approach for investigating human problem solving. We call the former approach Model Oriented Approach (BOA). We compare both approaches based on the framework of production system models. First, we demonstrate MOA through constructions simple models, where we try to match the rule modifications MOA through constructions of simple models, where we try to match the rule modifications and additions with certain representative aspects of the individual differences of each subject. Based on this correspondence, we can produce some simulations of typical behaviors. Second, we also demonstrate BOA through constructions of well fitting models, where initially we have to focus on the fit between the model's behavior and the human behavior. After obtaining satisfactory correspondence then we move on to analysis of rule modifications and additions needed for the fit. Last, we define MOA as a deductive way of investigation, and BOA as an inductive way of investigation, both of which provide us with strong methodologies for exploring human minds.
社団法人人工知能学会の論文
1999-11-01