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Levitin, Anany – Journal of Problem Solving, 2017
The paper concerns an important but underappreciated genre of algorithmic puzzles, explaining what these puzzles are, reviewing milestones in their long history, and giving two different ways to classify them. Also covered are major applications of algorithmic puzzles in cognitive science research, with an emphasis on insight problem solving, and…
Descriptors: Problem Solving, Puzzles, Mathematics, Cognitive Science
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Shirahama, Kimiaki; Grzegorzek, Marcin; Indurkhya, Bipin – Journal of Problem Solving, 2015
"Large-Scale Multimedia Retrieval" (LSMR) is the task to fast analyze a large amount of multimedia data like images or videos and accurately find the ones relevant to a certain semantic meaning. Although LSMR has been investigated for more than two decades in the fields of multimedia processing and computer vision, a more…
Descriptors: Information Retrieval, Multimedia Materials, Man Machine Systems, Cooperation
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Jäkel, Frank; Schreiber, Cornell – Journal of Problem Solving, 2013
Problem solving research has encountered an impasse. Since the seminal work of Newell und Simon (1972) researchers do not seem to have made much theoretical progress (Batchelder and Alexander, 2012; Ohlsson, 2012). In this paper we argue that one factor that is holding back the field is the widespread rejection of introspection among cognitive…
Descriptors: Reflection, Problem Solving, Metacognition, Protocol Analysis
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Batchelder, William H.; Alexander, Gregory E. – Journal of Problem Solving, 2012
This paper provides a critical examination of the current state and future possibility of formal cognitive theory for insight problem solving and its associated "aha!" experience. Insight problems are contrasted with move problems, which have been formally defined and studied extensively by cognitive psychologists since the pioneering…
Descriptors: Intuition, Problem Solving, Cognitive Processes, Theories
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MacGregor, James N.; Chu, Yun – Journal of Problem Solving, 2011
The article provides a review of recent research on human performance on the traveling salesman problem (TSP) and related combinatorial optimization problems. We discuss what combinatorial optimization problems are, why they are important, and why they may be of interest to cognitive scientists. We next describe the main characteristics of human…
Descriptors: Problem Solving, Mathematical Applications, Graphs, Performance
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Carruthers, Sarah; Stege, Ulrike – Journal of Problem Solving, 2013
This article is concerned with how computer science, and more exactly computational complexity theory, can inform cognitive science. In particular, we suggest factors to be taken into account when investigating how people deal with computational hardness. This discussion will address the two upper levels of Marr's Level Theory: the computational…
Descriptors: Problem Solving, Computation, Difficulty Level, Computer Science
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Stephen, Damian G.; Dixon, James A. – Journal of Problem Solving, 2008
Explaining emergent structure remains a challenge for all areas of cognitive science, and problem solving is no exception. The modern study of insight has drawn attention to the issue of emergent cognitive structure in problem solving research. We propose that the explanation of insight is beyond the scope of conventional approaches to cognitive…
Descriptors: Cognitive Processes, Problem Solving, Cognitive Structures, Scientific Concepts