Abstract
The reading and solution phases of problem-solving are partially interleaved. Solution may proceed by backward inference, forward inference, or a form of meta-level inference termed “planstacking”.
This article suggests three information processing mechanisms to account for the mixture of reading and solving behaviour, and examines four competing explanations of search control during problem solution.
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References
Allwood C. M. (1984), “Error detection processes in statistical problem solving,” Cognitive Science 8: 413–437.
Bundy, A., Byrd, L., Luger, G., Mellish, C. and Palmer, M. (1979). “Solving mechanics problems using meta-level inference,” paper presented at the 6th Conference of the Interational Joint Conference for Artificial Intelligence, Tokyo, Japan.
Chi M., Feltovich P. and Glaser R. (1981). “Categorization and representation of physics problems by experts and novices,” Cognitive Science 5: 121–153.
Fikes R. E. and Nilsson N. J. (1971). “STRIPS: a new approach to the application of theorem proving to problem solving”, Artificial Intelligence 2: 189–209.
Hinsley D., Hayes J. and Simon H. (1977). “Cognitive processes in comprehension”, in Just and Carpenter (Eds.), Cognitive Processes in Comprehension. Hillsdale, NJ: Lawrence Erlbaum Associates.
Larkin J. (1979). “Skill acquisition for solving physics problems,” C.I.P. No. 409, Department of Psychology, Carnegie-Mellon University, Pittsburgh.
Larkin, J. (1979). “Models of strategy in solving physics problems,” paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.
Larkin J. (1980). “The cognition of learning physics,” Applied Cognitive Psychology Paper No. 1, Department of Psychology, Carnegie-Mellon University, Pittsburgh.
Larkin J. McDermott J., Simon D. and Simon H. (1979). “Models of competance in solving physics problems,” C.I.P. No. 408, Department of Psychology, Carnegie-Mellon University, Pittsburgh.
Luger G. (1977) “The use of protocols and the representation of semantic information in pulley problems,” DAI Research Report No. 36, Department of Artificial Intelligence, University of Edinburgh, Edinburgh.
Newell A. and Simon H. A. (1972). Human Problem Solving. Englewood Cliffs NJ: Prentice-Hall.
Novak, G. (1977). “Representation of knowledge in a program for solving physics problems,” paper presented at the 5th Conference of the International Joint Conference for Artificial Intelligence, MA.
Paige G. and Simon H. (1974). “Cognitive processess in solving algebra word problems,” in B. Kleinmutz (Ed.), Problem Solving: Research, Method & Theory. New York: Krieger.
Scanlon, E., Hawkridge, C. and Evertz, R. (1983a). “Modelling physics problem solving: production rule models for two problems,” Open University CAL Group Technical Report No. 39, Milton Keynes.
Scanlon, E., Hawkridge, C. and O'Shea, T. (1983b). “Modelling physics problem solving: scripts and production rules,” Open University CAL Group Technical Report No. 36, Milton Keynes.
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Priest, A.G. Solving problems in newtonian mechanics. Instr Sci 14, 339–355 (1986). https://doi.org/10.1007/BF00051827
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DOI: https://doi.org/10.1007/BF00051827