## The Oxford Handbook of Computational and Mathematical PsychologyThis Oxford Handbook offers a comprehensive and authoritative review of important developments in computational and mathematical psychology. With chapters written by leading scientists across a variety of subdisciplines, it examines the field's influence on related research areas such as cognitive psychology, developmental psychology, clinical psychology, and neuroscience. TheHandbook emphasizes examples and applications of the latest research, and will appeal to readers possessing various levels of modeling experience. The Oxford Handbook of Computational and mathematical Psychology covers the key developments in elementary cognitive mechanisms (signal detection, information processing, reinforcement learning), basic cognitive skills (perceptual judgment, categorization, episodic memory), higher-level cognition (Bayesian cognition, decision making, semantic memory, shape perception), modeling tools (Bayesian estimation and other new model comparison methods), and emerging new directions in computation and mathematical psychology (neurocognitive modeling, applications to clinical psychology, quantum cognition). The Handbook would make an ideal graduate-level textbook for courses in computational and mathematical psychology. Readers ranging from advanced undergraduates to experienced faculty members and researchers in virtually any area of psychology--including cognitive science and related social and behavioral sciences such as consumer behavior and communication--will find the text useful. |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Other editions - View all

### Common terms and phrases

3D shape absolute identification absolute pitch accumulator model accuracy alternative analysis Ashby assumed Bayes factor Bayesian models behavior Busemeyer choice clinical Cognitive Science computational connectionist context cumulative prospect theory decision field theory decisional separability density diffusion model dimension drift rate dynamics EBRW model effects encoding episodic memory estimate evidence example exemplars experiment Experimental Psychology Figure function gamble hierarchical human inference Journal of Experimental Journal of Mathematical learning likelihood marginal likelihood Mathematical Psychology matrix mean RTs methods neural neurons Neuroscience nonparametric Nosofsky observed Palmeri panel parallel parameters performance perspective projection posterior distribution predictions prior probabilistic probability Psychological Review quantum random Ratcliff recall represent representation response retrieval saccade sample Schall semantic semantic memory serial Shiffrin signal signal detection theory similarity space statistical stimulus stochastic structure target task theory Townsend trials variability vector visual Wagenmakers words