'These two volumes are a valuable contribution to mathematical psychology; partly representing important summaries of special branches, partly pushing the forefront of research towards new horizons. They should be read by all working in special fields, but also by students who are striving for a general point of view. We are looking forward to the third volume.' Reinhard Suck, Journal of Mathematical Psychology
1. Stochastic methods for modeling decision making Adele Diederich and Keivan Mallahi-kara; 2. The diffusion model of speeded choice, from a rational perspective Matt Jones; 3. Stochastic foundations of elementary mental architectures Joseph W. Haupt, James T. Townsend and Brett Jefferson; 4. Identifiability of probabilistic models, with examples from knowledge structure theory Jean-Paul Doignon, Jurgen Heller and Luca Stefanutti; 5. Quantum models of cognition and decision Jerome R. Busemeyer and Peter D. Kvam; 6. Computational cognitive neuroscience F. Gregory Ashby; 7. Discovering aggregation properties via voting Donald G. Saari; 8. Categorization based on similarity and features: the Reproducing Kernel Banach Space (RKBS) approach Jun Zhang and Haizhang Zhang; 9. The axiom of meaningfulness in science and geometry Jean-Claude Falmagne, Louis Narens and Christopher Doble.