Journal of problem solving

http://docs.lib.purdue.edu/jps/

JPS is a multidisciplinary journal that publishes empirical and theoretical papers on mental mechanisms involved in solving problems, which include (but are not limited to) optimization problems such as the Traveling Salesman Problem, mathematics and physics problems, theorem proving, games and puzzles, knowledge discovery problems, insight problems and a range of problems in applied settings. The emphasis is put on those aspects of solving problems which set human beings apart from existing artificial systems. Authors are strongly encouraged to use reliable experimental methodology with such dependent variables as solution time, proportion and magnitude of errors. Neuroimaging or other neuroscience data pertinent to human problem-solving performance are also appropriate for the journal. Where computational models of the underlying mechanisms are proposed, they should be expressed in the form of algorithms and tested in simulations. The models are expected to be available to the readers either as a pseudo-code in the published paper or (preferably) by making the source code and the executable version available for downloading. Authors of purely empirical studies are encouraged to focus on providing new evidence about human abilities in solving computationally difficult problems: this may include applied situations. Authors of purely theoretical/computational studies are encouraged to focus on those human abilities that have not yet been replicated on a computer.
JPS encourages submissions from psychology, computer science, mathematics, operations research and neuroscience. Please Click Here for author submission instructions.
Current IssueVolume 1, Issue 1