Catalog > Science spirituelle > Psychologie > Michael L. Commons & Alejandro Kacelnik: Foraging (PDF)

Michael L. Commons & Alejandro Kacelnik
Foraging [PDF ebook]
Quantitative Analyses of Behavior, Volume Vi

Support

Couverture du Michael L. Commons & Alejandro Kacelnik: Foraging (PDF)

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.

€12.86

Achetez cet ebook et obtenez-en 1 de plus GRATUITEMENT !

Langue Anglais ● Format PDF ● Pages 312 ● ISBN 9781134927227 ● Éditeur Michael L. Commons & Alejandro Kacelnik ● Maison d’édition Taylor and Francis ● Publié 2013 ● Téléchargeable 6 fois ● Devise EUR ● ID 2690010 ● Protection contre la copie Adobe DRM

Nécessite un lecteur de livre électronique compatible DRM

Plus d’ebooks du même auteur(s) / Éditeur

Michael L. Commons Alejandro Kacelnik Sara J. Shettleworth

78 993 Ebooks dans cette catégorie

Couverture du R. S. Nickerson: Attention and Performance Viii

R. S. Nickerson: Attention and Performance Viii

First published in 1980. This is a volume of the proceedings of the Eighth International Symposium on Attention and Performance held in Princeton, New Jersey, USA, from August 20th to 25th 1978. …

Couverture du Marshall (Creighton University) Schminke: Managerial Ethics

Marshall (Creighton University) Schminke: Managerial Ethics

This book combines management theory with ethical theory on a chapter by chapter, topic by topic basis. The volume bridges the theoretical, empirical and practical gap between management and ethics. …

Couverture du Paul Kline: Personality (Psychology Revivals)

Paul Kline: Personality (Psychology Revivals)

Originally published in 1983 and written in the tradition of the British School of Psychology, Spearman, Burt, Eysenck, Cattell, this book from a well-known author was exceptional at the time in its …

Couverture du Ilene R. Berson & Michael J. Berson: High-Tech Tots

Ilene R. Berson & Michael J. Berson: High-Tech Tots

Couverture du Yvonne M. Agazarian: The Visible and Invisible Group

Yvonne M. Agazarian: The Visible and Invisible Group

Understanding the psychodynamics of groups has derived from the two separate strands of theory and practice, resulting in two separate disciplines: group psychotherapy and group dynamics. Present-day …

Couverture du Peter Mitchell: Acquiring a Conception of Mind

Peter Mitchell: Acquiring a Conception of Mind

It seems the mind has evolved into such a powerful form that we are able to go beyond knowing the world and move towards knowing the mind itself. Being able to comprehend the mind permits smooth soci …

Couverture du Guy A. (McKendree University, USA) Boysen & Regan A. R. (University of Wisconsin, USA) Gurung: An Evidence-based Guide to College and University Teaching

Guy A. (McKendree University, USA) Boysen & Regan A. R. (University of Wisconsin, USA) Gurung: An Evidence-based Guide to College and University Teaching

An Evidence-based Guide to College and University Teaching outlines a definition of ‘model teaching’ based on research evidence and accepted best practices in high education. Teachers at all levels o …

Couverture du James Flaherty: Coaching

James Flaherty: Coaching

Now in its fourth edition, the bestselling, seminal book by James Flaherty, Coaching: Evoking Excellence in Others, is an insightful, thought-provoking, pragmatic guide that dissects the art and …

Couverture du N. John, Jr. Castellan: Individual and Group Decision Making

N. John, Jr. Castellan: Individual and Group Decision Making

The idea for this volume took root during a recent annual convention of the American Psychological Association. The contributors share a common vision of research in their particular area and have ha …

Couverture du Yves Chauvin & David E. Rumelhart: Backpropagation

Yves Chauvin & David E. Rumelhart: Backpropagation

Composed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation. The first section presents the theory and principles behind backpropagation as …

Page suivante >>>