caa a22 4500 463177320 CHVBK 20180406164829.0 cr unu---uuuuu 170326e20070301xx s 000 0 eng 10.1007/s10339-006-0157-4 doi (NATIONALLICENCE)springer-10.1007/s10339-006-0157-4 Transformational and derivational strategies in analogical problem solving [Elektronische Daten] [Sven-Eric Schelhorn, Jacqueline Griego, Ute Schmid] Analogical problem solving is mostly described as transfer of a source solution to a target problem based on the structural correspondences (mapping) between source and target. Derivational analogy (Carbonell, Machine learning: an artificial intelligence approach Los Altos. Morgan Kaufmann, 1986) proposes an alternative view: a target problem is solved by replaying a remembered problem-solving episode. Thus, the experience with the source problem is used to guide the search for the target solution by applying the same solution technique rather than by transferring the complete solution. We report an empirical study using the path finding problems presented in Novick and Hmelo (J Exp Psychol Learn Mem Cogn 20:1296-1321, 1994) as material. We show that both transformational and derivational analogy are problem-solving strategies realized by human problem solvers. Which strategy is evoked in a given problem-solving context depends on the constraints guiding object-to-object mapping between source and target problem. Specifically, if constraints facilitating mapping are available, subjects are more likely to employ a transformational strategy, otherwise they are more likely to use a derivational strategy. Marta Olivetti Belardinelli and Springer-Verlag, 2007 Schelhorn Sven-Eric Institute of Cognitive Science, University of Osnabrueck, Osnabrueck, Germany aut Griego Jacqueline School of Medicine, Department of Psychiatry, University of Maryland, Baltimore, USA aut Schmid Ute Information Systems and Applied Computer Science, Otto-Friedrich University Bamberg, Feldkirchenstrasse 21, 96045, Bamberg, Germany aut Cognitive Processing Springer-Verlag 8/1(2007-03-01), 45-55 1612-4782 8:1<45 2007 8 10339 https://doi.org/10.1007/s10339-006-0157-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10339-006-0157-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Schelhorn Sven-Eric Institute of Cognitive Science, University of Osnabrueck, Osnabrueck, Germany aut NATIONALLICENCE 700 1- Griego Jacqueline School of Medicine, Department of Psychiatry, University of Maryland, Baltimore, USA aut NATIONALLICENCE 700 1- Schmid Ute Information Systems and Applied Computer Science, Otto-Friedrich University Bamberg, Feldkirchenstrasse 21, 96045, Bamberg, Germany aut NATIONALLICENCE 773 0- Cognitive Processing Springer-Verlag 8/1(2007-03-01), 45-55 1612-4782 8:1<45 2007 8 10339 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer