Abstract
The novel multi-problem-solving approach to mechanical problem solving is discussed. An improved architecture of multi-problem-solver is introduced, which makes it possible to deal in an effective and unitary way with several critical issues of problem-solving research. These include representation change, analogic reasoning, interdependencies between subproblems, learning, parallel and distributed problem solving. Attention is focused on one of the most specific high-level reasoning capabilities of the multi-problem-solver: namely, discovering new relations among problems and generating new problems. This topic is illustrated through appropriate examples, which concern the discovery of coverage, transformation, and implication. In the conclusion, the contribution presented in the paper is discussed and promising directions for future research are outlined.
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