Giving up problem solving

How do people decide to abandon a problem? Participants were presented with unsolvable water jar problems, having been accurately informed of the prior probability of solvability. Across three experiments, we discovered effects of prior probability of solvability and of problem size (number of distinct problem states) on measures of effort and confidence. If a problem is more likely to be solvable and allows more problem states, a problem solver spends longer trying to solve the problem. Giving-up decisions are informed by the same judgments of probability of success and costs of solution that inform move-choice in a rational model of problem solving.

[1]  Richard F. Green,et al.  Stopping Rules for Optimal Foragers , 1984, The American Naturalist.

[2]  T. Ormerod,et al.  Information processing and insight: a process model of performance on the nine-dot and related problems. , 2001 .

[3]  Hansjörg Neth,et al.  Discretionary task interleaving: heuristics for time allocation in cognitive foraging. , 2007, Journal of experimental psychology. General.

[4]  P. Todd,et al.  Patch leaving in humans: can a generalist adapt its rules to dispersal of items across patches? , 2008, Animal Behaviour.

[5]  A. Tversky,et al.  On the psychology of prediction , 1973 .

[6]  John R. Anderson The Adaptive Character of Thought , 1990 .

[7]  J. Metcalfe Premonitions of insight predict impending error. , 1986 .

[8]  Michael R Dougherty,et al.  Motivated to retrieve: how often are you willing to go back to the well when the well is dry? , 2007, Journal of experimental psychology. Learning, memory, and cognition.

[9]  R. Jeffries,et al.  A process model for Missionaries-Cannibals and other river-crossing problems , 1977, Cognitive Psychology.

[10]  Andreas Wilke,et al.  Fishing for the Right Words: Decision Rules for Human Foraging Behavior in Internal Search Tasks , 2009, Cogn. Sci..

[11]  H. Simon,et al.  Why are some problems hard? Evidence from Tower of Hanoi , 1985, Cognitive Psychology.

[12]  Craig A. Kaplan,et al.  In search of insight , 1990, Cognitive Psychology.

[13]  S. Payne,et al.  The Effects of Operator Implementation Cost on Planfulness of Problem Solving and Learning , 1998, Cognitive Psychology.

[14]  E. Charnov Optimal foraging, the marginal value theorem. , 1976, Theoretical population biology.

[15]  A. Luchins Mechanization in problem solving: The effect of Einstellung. , 1942 .

[16]  Wayne D. Gray,et al.  The soft constraints hypothesis: a rational analysis approach to resource allocation for interactive behavior. , 2006, Psychological review.

[17]  Michael E Atwood,et al.  A process model for water jug problems , 1976, Cognitive Psychology.

[18]  Y. Iwasa,et al.  Prey Distribution as a Factor Determining the Choice of Optimal Foraging Strategy , 1981, The American Naturalist.

[19]  Donald Laming,et al.  Failure to recall. , 2009, Psychological review.

[20]  G Gigerenzer,et al.  Reasoning the fast and frugal way: models of bounded rationality. , 1996, Psychological review.

[21]  Glenn J. Browne,et al.  Stopping rule use during information search in design problems , 2004 .