Human Performance on Hard Non-Euclidean Graph Problems: Vertex Cover

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dc.contributor.authorCarruthers, Sarah
dc.contributor.authorStege, Ulrike
dc.contributor.authorMasson, Michael
dc.date.accessioned2021-05-11T16:34:51Z
dc.date.available2021-05-11T16:34:51Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.description.abstractRecent studies on a computationally hard visual optimization problem, the Traveling Salesperson Problem (TSP), indicate that humans are capable of finding close to optimal solutions in near-linear time. The current study is a preliminary step in investigating human performance on another hard problem, the Minimum Vertex Cover Problem, in which solvers attempt to find a smallest set of vertices that ensures that every edge in an undirected graph is incident with at least one of the selected vertices. We identify appropriate measures of performance, examine features of problem instances that impact performance, and describe strategies typically employed by participants to solve instances of the Vertex Cover problem.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipThis work is funded in part by the Natural Sciences and Engineering Research Council (NSERC).en_US
dc.identifier.citationCarruthers, S., Masson, M. E. J., & Stege, U. (2012). Human Performance on Hard Non- Euclidean Graph Problems: Vertex Cover. The Journal of Problem Solving, 5(1), 1-22. http://dx.doi.org/10.7771/1932-6246.1142.en_US
dc.identifier.urihttp://dx.doi.org/10.7771/1932-6246.1142
dc.identifier.urihttp://hdl.handle.net/1828/12966
dc.language.isoenen_US
dc.publisherThe Journal of Problem Solvingen_US
dc.subjectcomputational complexityen_US
dc.subjectvertex coveren_US
dc.subjecthuman performanceen_US
dc.titleHuman Performance on Hard Non-Euclidean Graph Problems: Vertex Coveren_US
dc.typeArticleen_US

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