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The Society for Mathematical Psychology promotes the advancement and communication of research in mathematical psychology and related disciplines. Mathematical psychology is broadly defined to include work of a theoretical character that uses mathematical methods, formal logic, or computer simulation. The Society journal is the Journal of Mathematical Psychology.

Society News and Updates
Duncan Luce Special Issue

The Journal of Mathematical Psychology will honor the legacy and contributions of R. Duncan Luce with a special issue. The Journal seeks submissions of manuscripts for peer review that present new research or perspective on the diverse topics of mathematical psychology that were influenced by Luce, including, but not limited to:  theory and/or experiment on deterministic or probabilistic choice and utility; measurement; response time; psychophysics; and game theory. However, the primary criterion for publication in the special issue is exceptional scientific research conducted in the tradition of mathematical psychology established by Luce. This special issue will be co-edited by A. A. J. Marley, Clintin Davis-Stober, and Ragnar Steingrimsson.

We plan for the special issue to include research articles and integrative retrospective and/or prospective articles. We invite potential contributors to discuss ideas or plans for submissions with the guest editors. A formal expression of interest, including a tentative title and abstract, should be submitted to A. A. J. Marley ( This e-mail address is being protected from spambots. You need JavaScript enabled to view it ) on or before February 28, 2015; we strongly encourage early contact. The submission deadline is September 30, 2015.

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U.S. Air Force Research Laboratory

The U.S. Air Force Research Laboratory's Cognitive Models and Agents Branch has a variety of contract positions available for talented cognitive, computational, and computer scientists interested in working on basic and applied cognitive science research. Our research portfolio combines empirical human subjects studies and formal, rigorous modeling and simulation methods to replicate, understand, and predict human performance and learning, and to create new cognitive science-based methods, tool, and technologies.

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