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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
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Pizlo, Zygmunt; Stefanov, Emil – Journal of Problem Solving, 2013
We describe an important elaboration of our multiscale/multiresolution model for solving the Traveling Salesman Problem (TSP). Our previous model emulated the non-uniform distribution of receptors on the human retina and the shifts of visual attention. This model produced near-optimal solutions of TSP in linear time by performing hierarchical…
Descriptors: Problem Solving, Short Term Memory, Models, Visual Perception
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Tenbrink, Thora; Taylor, Holly A. – Journal of Problem Solving, 2015
Research on problem solving typically does not address tasks that involve following detailed and/or illustrated step-by-step instructions. Such tasks are not seen as cognitively challenging problems to be solved. In this paper, we challenge this assumption by analyzing verbal protocols collected during an Origami folding task. Participants…
Descriptors: Cognitive Processes, Problem Solving, Protocol Analysis, Task Analysis
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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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Tak, Susanne; Plaisier, Marco; van Rooij, Iris – Journal of Problem Solving, 2008
To explain human performance on the "Traveling Salesperson" problem (TSP), MacGregor, Ormerod, and Chronicle (2000) proposed that humans construct solutions according to the steps described by their convex-hull algorithm. Focusing on tour length as the dependent variable, and using only random or semirandom point sets, the authors…
Descriptors: Problem Solving, Models, Mathematics, College Students
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Newman, Sharlene D.; Pruce, Benjamin; Rusia, Akash; Burns, Thomas, Jr. – Journal of Problem Solving, 2010
fMRI was used to examine the differential effect of two problem-solving strategies. Participants were trained to use both a pictorial/spatial and a symbolic/algebraic strategy to solve word problems. While these two strategies activated similar cortical regions, a number of differences were noted in the level of activation. These differences…
Descriptors: Learning Strategies, Problem Solving, Diagnostic Tests, Brain Hemisphere Functions
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Chronicle, Edward; MacGregor, James; Ormerod, Thomas – Journal of Problem Solving, 2006
The two-dimensional Traveling Salesperson Problem (TSP) requires finding the shortest tour through n locations. Untrained adults are adept at the task and reliably outperform simple construction algorithms for n= 60. Performance may stem from a specific inherent ability. Alternatively, it may reflect general spatial intelligence, whether inherent…
Descriptors: Problem Solving, Performance, Cognitive Ability, Comparative Analysis