Problem-solving theories have not examined how solvers navigate their knowledge to interpret problem situations or to plan strategies toward goals. In this article, the author argues that success in problem solving depends on the solver's ability to construct goal-derived categories, namely categories that are formed ad hoc to serve goals during the instantiation of problem frames. Experiment 1 (N ϭ 140) showed improved problem-solving performance after training to construct goal-derived categories. Experiment 2 (N ϭ 80) demonstrated that effects of training in category construction can be obtained without participants being explicitly informed regarding the relevance of training to problem solving. These studies suggest that problem solving is a dynamic expression of goal-directed cognition and provide evidence for the involvement of categorization in problem-solving processes.
Keywords: problem solving, categorization, goal-derived categories, ad hoc categories, insight problemsProblem solving refers to a situation in which the solver develops and implements plans with the intention of moving from a problem state to a goal state within a range of constraints. Some problem-solving situations are well-defined, wherein both the goal to be achieved and the path to be followed for the solution are obvious (e.g., solving the equation 125 ϫ 5 ϭ ?). In contrast, other problem-solving situations are ill-defined, wherein both the goal and the steps necessary for its completion are ambiguous, and the solution possibilities appear infinite (e.g., how to attach a candle on the wall with a book of matches and a box of tacks). Theories of problem solving have examined a variety of strategies by which individuals reach solutions to different problems. Such theories approach solvers' success with a problem either as the result of special thinking processes (e.g