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Fleischer, Pierson; Hélie, Sébastien; Pizlo, Zygmunt – Journal of Problem Solving, 2018
Gestalt psychologists pointed out about 100 years ago that a key to solving difficult insight problems is to change the mental representation of the problem, as is the case, for example, with solving the six matches problem in 2D vs. 3D space. In this study we ask a different question, namely what representation is used when subjects solve search,…
Descriptors: Problem Solving, Mathematics, Geometric Concepts, Mathematical Applications
MacGregor, James N. – Journal of Problem Solving, 2017
The article reports three experiments designed to explore heuristics used in comparing the lengths of completed Euclidean Traveling Salesman Problem (E-TSP) tours. The experiments used paired comparisons in which participants judged which of two completed tours of the same point set was shorter. The first experiment manipulated two factors, the…
Descriptors: College Students, Heuristics, Problem Solving, Mathematical Applications
Collier, Azurii K.; Beeman, Mark – Journal of Problem Solving, 2012
Often when failing to solve problems, individuals report some idea of the solution, but cannot explicitly access the idea. We investigated whether such intuition would relate to improvements in solving and to the manner in which a problem was solved after a 24- hour delay. On Day 1, participants attempted to solve Compound Remote Associate…
Descriptors: Intuition, Problem Solving, Recall (Psychology), Time Factors (Learning)
Mueller, Shane T.; Perelman, Brandon S.; Tan, Yin Yin; Thanasuan, Kejkaew – Journal of Problem Solving, 2015
The traveling salesman problem (TSP) is a combinatorial optimization problem that requires finding the shortest path through a set of points ("cities") that returns to the starting point. Because humans provide heuristic near-optimal solutions to Euclidean versions of the problem, it has sometimes been used to investigate human visual…
Descriptors: Sales Occupations, Salesmanship, Computer System Design, Computer Software Reviews
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
Taatgen, Niels A. – Journal of Problem Solving, 2011
The minimal control principle (Taatgen, 2007) predicts that people strive for problem-solving strategies that require as few internal control states as possible. In an experiment with the Abstract Decision Making task (ADM task; Joslyn & Hunt, 1998) the reward structure was manipulated to make either a low-control strategy or a high-strategy…
Descriptors: Problem Solving, Abstract Reasoning, Decision Making, Learning Strategies
Robinson, A. Emanuel; Sloman, Steven A.; Hagmayer, York; Hertzog, Christopher K. – Journal of Problem Solving, 2010
The role of causal beliefs in people's decisions when faced with economic problems was investigated. Two experiments are reported that vary the causal structure in prisoner's dilemma-like economic situations. We measured willingness to cooperate or defect and collected justifications and think-aloud protocols to examine the strategies that people…
Descriptors: Causal Models, Beliefs, Problem Solving, Economics
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
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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