Edited
By Michael L. Commons, Richard J. Herrnstein, Stephen M. Kosslyn, David B. Mumford
January 01, 1990
Volume eight in this highly acclaimed series discusses the behavioral approaches to pattern recognition and concept formation in two sections: categories and concepts in birds, and shape and form. An ideal reference for students and professionals in experimental psychology and behavioral analysis....
Edited
By Michael L. Commons, Richard J. Herrnstein, Stephen M. Kosslyn, David B. Mumford
November 24, 2016
The ninth volume in this highly acclaimed series discusses the computational and clinical approaches to pattern recognition and concept formation regarding: visual and spatial processing models; computational models, templates and hierarchical models. An ideal reference for students and ...
Edited
By Michael L. Commons, John A. Nevin, Michael C. Davison
July 31, 2015
This volume is based on the 10th annual Harvard Symposium for the Quantitative Analysis of Behavior. The first Harvard Symposium was devoted to signal-detection analyses of reinforcement and choice behavior. The present volume reprises the original signal- detection theme, incorporating additional ...
Edited
By Michael L. Commons, Russell M. Church, James R. Stellar, Allan R. Wagner
April 01, 1988
This seventh volume, divided into four parts, addresses the biological determinates of reinforcement and memory. Covers topics in electrical brain stimulation, drugs and reinforcement, and cellular mechanisms....
Edited
By Michael L. Commons, James E. Mazur, John A. Nevin, Howard Rachlin
November 01, 1986
First published in 1986. This is Volume V of six in a series on Quantitative Analyses of Behavior. Quantitative analysis now generally refers to the fact that theoretical issues are represented by quantitative models. An analysis is not a matter of fitting arbitrary functions to data points. The ...
Edited
By Michael L. Commons, Alejandro Kacelnik, Sara J. Shettleworth
February 01, 1987
The sixth volume in this respected series systematically presents and evaluates quantitative models of various foraging phenomena, including: steady state decision rules; acquisition of decision rules; perception and learning in foraging behavior....