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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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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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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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Ash, Ivan K.; Jee, Benjamin D.; Wiley, Jennifer – Journal of Problem Solving, 2012
Gestalt psychologists proposed two distinct learning mechanisms. Associative learning occurs gradually through the repeated co-occurrence of external stimuli or memories. Insight learning occurs suddenly when people discover new relationships within their prior knowledge as a result of reasoning or problem solving processes that re-organize or…
Descriptors: Intuition, Learning Processes, Metacognition, Associative Learning
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Chu, Yun; Li, Zheng; Su, Yong; Pizlo, Zygmunt – Journal of Problem Solving, 2010
Isomorphs of a puzzle called m+m resulted in faster solution times and an easily reproduced solution path in a labeled version of the problem compared to a more difficult binary version. We conjecture that performance is related to a type of heuristic called direction that not only constrains search space in the labeled version, but also…
Descriptors: Heuristics, Problem Solving, Puzzles, Navigation
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MacGregor, James N.; Cunningham, John B. – Journal of Problem Solving, 2009
Insight problem solving is characterized by restructuring. We hypothesized that the difficulty of rebus puzzles could be manipulated by systematically varying the restructurings required to solve them. An experiment using rebus puzzles varied the number of restructurings (one or two) required to solve a problem and the level at which the…
Descriptors: Problem Solving, Numbers, Difficulty Level, Puzzles
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Goldstone, Robert L.; Pizlo, Zygmunt – Journal of Problem Solving, 2009
In November 2008 at Purdue University, the 2nd Workshop on Human Problem Solving was held. This workshop, which was a natural continuation of the first workshop devoted almost exclusively to optimization problems, addressed a wider range of topics that reflect the scope of the "Journal of Problem Solving." The workshop was attended by 35…
Descriptors: Problem Solving, Universities, Workshops, Educational Researchers
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Gunion, Katherine; Milford, Todd; Stege, Ulrike – Journal of Problem Solving, 2009
Recursion is a programming paradigm as well as a problem solving strategy thought to be very challenging to grasp for university students. This article outlines a pilot study, which expands the age range of students exposed to the concept of recursion in computer science through instruction in a series of interesting and engaging activities. In…
Descriptors: Foreign Countries, Programming, Programming Languages, Middle School Students