Recent Progress in Mathematical Psychology

Regular price €71.99
Quantity:
Ships in 10-20 days
Delivery/Collection within 10-20 working days
Shipping & Delivery
advanced mathematical psychology research
analysis
Berlin Replication
boolean
Boolean Analysis
Category=JMH
Category=JNQ
concept learning models
Continuous Flow Models
Correct Free Recall
Debtor Principle
decision process modeling
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
IK
Implication Scheme
Incomplete Beta Function Ratio
Incremental Computation
knowledge
Knowledge Space
knowledge space analysis
measurement theory
Minimum Reaction Time
Model II
Model III
Mokken Scaling
multinomial cognitive models
Multinomial Processing Tree Models
Multivariate Normal Model
Normal Ogive Model
parallel processing theory
Positive Messages
random
Signal Flowgraph
space
Sparse Categories
states
structure
surmise
Surmise System
system
Van Breukelen
variable
Vice Versa
Violating
ZI

Product details

  • ISBN 9781138002517
  • Weight: 498g
  • Dimensions: 152 x 229mm
  • Publication Date: 12 Aug 2014
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns

Mathematical psychology is an interdisciplinary area of research in which methods of mathematics, operations research, and computer science in psychology are used. Now more than thirty years old, the field has continued to grow rapidly and has taken on a life of its own. This volume summarizes recent progress in mathematical psychology as seen by some of the leading figures in the field as well as some of its leading young researchers.

The papers presented in this volume reflect the most important current directions of research in mathematical psychology. They cover topics in measurement, decision and choice, psychophysics and psychometrics, knowledge representation, neural nets and learning models, and cognitive modeling. Some of the major ideas included are new applications of concepts of measurement theory to social phenomena, new directions in the theory of probabilistic choice, surprising results in nonlinear utility theory, applications of boolean methods in the theory of knowledge spaces, applications of neural net ideas to concept learning, developments in the theory of parallel processing models of response time, new results in inhibition theory, and new concepts about paired associate learning.

Cornelia E. Dowling, Fred S. Roberts, Peter Theuns