Think! Evidence

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

Show simple item record

dc.creator Carruthers, Sarah
dc.creator Masson, Michael E. J.
dc.creator Stege, Ulrike
dc.date 2012-10-17T19:46:44Z
dc.date.accessioned 2015-07-24T14:18:19Z
dc.date.available 2015-07-24T14:18:19Z
dc.identifier http://docs.lib.purdue.edu/jps/vol5/iss1/5
dc.identifier http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1142&context=jps
dc.identifier.uri http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1142&context=jps
dc.identifier.uri http://evidence.thinkportal.org/handle/123456789/25660
dc.description Recent 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.
dc.format application/pdf
dc.publisher Purdue University
dc.source The Journal of Problem Solving
dc.subject computational complexity
dc.subject vertex cover
dc.subject human performance
dc.title Human Performance on Hard Non-Euclidean Graph Problems: Vertex Cover
dc.type Article


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search Think! Evidence


Browse

My Account