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JPS (ISSN 1932-6246) is a multidisciplinary journal that publishes empirical and theoretical papers on mental mechanisms involved in problem solving. The journal welcomes original and rigorous research in all areas of human problem solving, with special interest in solving difficult problems (e.g., problems in which human beings outperform artificial systems). Examples of topics include (but are not limited to) optimization and combinatorial problems, mathematics and physics problems, theorem proving, games and puzzles, knowledge discovery problems, insight problems and problems arising in applied settings.

Besides behavioral performance measures, such as solution time, proportion and magnitude of errors, also neuroimaging and other neuroscience data relevant to the study of human problem solving are appropriate for the journal. Computational models should, if possible, be expressed in the form of algorithms and tested in simulations. Simulation programs 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 theoretical/computational studies are encouraged to focus on modeling those human problem-solving abilities that have not yet been replicated in artificial systems. However, theoretical papers on other topics relevant to the field of problem solving are welcomed as well. JPS also invites papers that present new research methodologies or discuss methodological issues pertinent to the study of human problem solving, as well as reviews summarizing new trends in studying problem solving. JPS will also publish commentaries on papers appearing in its pages. The commentaries will be reviewed like regular papers.

JPS encourages submissions from psychology, computer science, mathematics, operations research and neuroscience.

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