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Models of Action
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Models of Action

Mechanisms for Adaptive Behavior

Models of Action

Mechanisms for Adaptive Behavior

Edited ByClive D.L. Wynne, John E.R. Staddon
Edition 1st Edition
First Published 1998
eBook Published 17 June 2013
Pub. location New York
Imprint Psychology Press
DOIhttps://doi.org/10.4324/9780203773864
eBook ISBN 9781134787500
SubjectsBehavioral Sciences
KeywordsRescorla Wagner Model, Transitive Inference, Symbolic Distance Effect, Conditioned Reinforcer, Symbolic Dynamics
Get Citation

Get Citation

Wynne, C. (Ed.), Staddon, J. (Ed.). (1998). Models of Action. New York: Psychology Press, https://doi.org/10.4324/9780203773864
ABOUT THIS BOOK

This volume presents an international group of researchers who model animal and human behavior--both simple and complex. The models presented focus on such subjects as the pattern of eating in meals and bouts, the energizing and shaping impact of reinforcers on behavior, transitive inferential reasoning, responding to a compound stimulus, avoidance and escape learning, recognition memory, category formation, generalization, the timing of adaptive responses, and chromosomes exchanging information. The chapters are united by a common interest in adaptive behavior--whether of human, animal, or artificial system--and clearly demonstrate the rich variety of ways in which this fascinating area of research can be approached.

In so doing, the book demonstrates the range of thought that qualifies as theorizing in the contemporary study of the mechanisms of adaptive behavior. It has two purposes: to bring together a very wide range of approaches in one place and to give authors space to explain how their ideas developed. Journal literature often presents fully-formed theories with no explanation of how an idea came to have the shape in which it is presented. In this volume, however, leaders in different fields provide background on the development of their ideas. Where once psychologists and a few zoologists had this field to themselves, now various types of computer scientists have added great energy to the mix.

TABLE OF CONTENTS
chapter 1|28 pages
Learning the Language of Mind: Symbolic Dynamics
View abstract
chapter 2|58 pages
Neural Substrates of Adaptively Timed Reinforcement, Recognition, and Motor Learning
View abstract
chapter 3|40 pages
Can the Whole Be Something Other Than the Sum of Its Parts?
View abstract
chapter 4|30 pages
The First Principle of Reinforcement
ByPeter R. Killeen
View abstract
chapter 5|44 pages
Using Biology to Solve a Problem in Automated
ByMachine Learning John R. Koza
View abstract
chapter 6|38 pages
The Frightening Complexity of Avoidance: A Neural Network Approach
View abstract
chapter 7|30 pages
In Praise of Parsimony
View abstract
chapter 8|40 pages
A Minimal Model of Transitive Inference
ByC. D. L. Wynne
View abstract

This volume presents an international group of researchers who model animal and human behavior--both simple and complex. The models presented focus on such subjects as the pattern of eating in meals and bouts, the energizing and shaping impact of reinforcers on behavior, transitive inferential reasoning, responding to a compound stimulus, avoidance and escape learning, recognition memory, category formation, generalization, the timing of adaptive responses, and chromosomes exchanging information. The chapters are united by a common interest in adaptive behavior--whether of human, animal, or artificial system--and clearly demonstrate the rich variety of ways in which this fascinating area of research can be approached.

In so doing, the book demonstrates the range of thought that qualifies as theorizing in the contemporary study of the mechanisms of adaptive behavior. It has two purposes: to bring together a very wide range of approaches in one place and to give authors space to explain how their ideas developed. Journal literature often presents fully-formed theories with no explanation of how an idea came to have the shape in which it is presented. In this volume, however, leaders in different fields provide background on the development of their ideas. Where once psychologists and a few zoologists had this field to themselves, now various types of computer scientists have added great energy to the mix.

TABLE OF CONTENTS
chapter 1|28 pages
Learning the Language of Mind: Symbolic Dynamics
View abstract
chapter 2|58 pages
Neural Substrates of Adaptively Timed Reinforcement, Recognition, and Motor Learning
View abstract
chapter 3|40 pages
Can the Whole Be Something Other Than the Sum of Its Parts?
View abstract
chapter 4|30 pages
The First Principle of Reinforcement
ByPeter R. Killeen
View abstract
chapter 5|44 pages
Using Biology to Solve a Problem in Automated
ByMachine Learning John R. Koza
View abstract
chapter 6|38 pages
The Frightening Complexity of Avoidance: A Neural Network Approach
View abstract
chapter 7|30 pages
In Praise of Parsimony
View abstract
chapter 8|40 pages
A Minimal Model of Transitive Inference
ByC. D. L. Wynne
View abstract
CONTENTS
ABOUT THIS BOOK

This volume presents an international group of researchers who model animal and human behavior--both simple and complex. The models presented focus on such subjects as the pattern of eating in meals and bouts, the energizing and shaping impact of reinforcers on behavior, transitive inferential reasoning, responding to a compound stimulus, avoidance and escape learning, recognition memory, category formation, generalization, the timing of adaptive responses, and chromosomes exchanging information. The chapters are united by a common interest in adaptive behavior--whether of human, animal, or artificial system--and clearly demonstrate the rich variety of ways in which this fascinating area of research can be approached.

In so doing, the book demonstrates the range of thought that qualifies as theorizing in the contemporary study of the mechanisms of adaptive behavior. It has two purposes: to bring together a very wide range of approaches in one place and to give authors space to explain how their ideas developed. Journal literature often presents fully-formed theories with no explanation of how an idea came to have the shape in which it is presented. In this volume, however, leaders in different fields provide background on the development of their ideas. Where once psychologists and a few zoologists had this field to themselves, now various types of computer scientists have added great energy to the mix.

TABLE OF CONTENTS
chapter 1|28 pages
Learning the Language of Mind: Symbolic Dynamics
View abstract
chapter 2|58 pages
Neural Substrates of Adaptively Timed Reinforcement, Recognition, and Motor Learning
View abstract
chapter 3|40 pages
Can the Whole Be Something Other Than the Sum of Its Parts?
View abstract
chapter 4|30 pages
The First Principle of Reinforcement
ByPeter R. Killeen
View abstract
chapter 5|44 pages
Using Biology to Solve a Problem in Automated
ByMachine Learning John R. Koza
View abstract
chapter 6|38 pages
The Frightening Complexity of Avoidance: A Neural Network Approach
View abstract
chapter 7|30 pages
In Praise of Parsimony
View abstract
chapter 8|40 pages
A Minimal Model of Transitive Inference
ByC. D. L. Wynne
View abstract

This volume presents an international group of researchers who model animal and human behavior--both simple and complex. The models presented focus on such subjects as the pattern of eating in meals and bouts, the energizing and shaping impact of reinforcers on behavior, transitive inferential reasoning, responding to a compound stimulus, avoidance and escape learning, recognition memory, category formation, generalization, the timing of adaptive responses, and chromosomes exchanging information. The chapters are united by a common interest in adaptive behavior--whether of human, animal, or artificial system--and clearly demonstrate the rich variety of ways in which this fascinating area of research can be approached.

In so doing, the book demonstrates the range of thought that qualifies as theorizing in the contemporary study of the mechanisms of adaptive behavior. It has two purposes: to bring together a very wide range of approaches in one place and to give authors space to explain how their ideas developed. Journal literature often presents fully-formed theories with no explanation of how an idea came to have the shape in which it is presented. In this volume, however, leaders in different fields provide background on the development of their ideas. Where once psychologists and a few zoologists had this field to themselves, now various types of computer scientists have added great energy to the mix.

TABLE OF CONTENTS
chapter 1|28 pages
Learning the Language of Mind: Symbolic Dynamics
View abstract
chapter 2|58 pages
Neural Substrates of Adaptively Timed Reinforcement, Recognition, and Motor Learning
View abstract
chapter 3|40 pages
Can the Whole Be Something Other Than the Sum of Its Parts?
View abstract
chapter 4|30 pages
The First Principle of Reinforcement
ByPeter R. Killeen
View abstract
chapter 5|44 pages
Using Biology to Solve a Problem in Automated
ByMachine Learning John R. Koza
View abstract
chapter 6|38 pages
The Frightening Complexity of Avoidance: A Neural Network Approach
View abstract
chapter 7|30 pages
In Praise of Parsimony
View abstract
chapter 8|40 pages
A Minimal Model of Transitive Inference
ByC. D. L. Wynne
View abstract
ABOUT THIS BOOK
ABOUT THIS BOOK

This volume presents an international group of researchers who model animal and human behavior--both simple and complex. The models presented focus on such subjects as the pattern of eating in meals and bouts, the energizing and shaping impact of reinforcers on behavior, transitive inferential reasoning, responding to a compound stimulus, avoidance and escape learning, recognition memory, category formation, generalization, the timing of adaptive responses, and chromosomes exchanging information. The chapters are united by a common interest in adaptive behavior--whether of human, animal, or artificial system--and clearly demonstrate the rich variety of ways in which this fascinating area of research can be approached.

In so doing, the book demonstrates the range of thought that qualifies as theorizing in the contemporary study of the mechanisms of adaptive behavior. It has two purposes: to bring together a very wide range of approaches in one place and to give authors space to explain how their ideas developed. Journal literature often presents fully-formed theories with no explanation of how an idea came to have the shape in which it is presented. In this volume, however, leaders in different fields provide background on the development of their ideas. Where once psychologists and a few zoologists had this field to themselves, now various types of computer scientists have added great energy to the mix.

TABLE OF CONTENTS
chapter 1|28 pages
Learning the Language of Mind: Symbolic Dynamics
View abstract
chapter 2|58 pages
Neural Substrates of Adaptively Timed Reinforcement, Recognition, and Motor Learning
View abstract
chapter 3|40 pages
Can the Whole Be Something Other Than the Sum of Its Parts?
View abstract
chapter 4|30 pages
The First Principle of Reinforcement
ByPeter R. Killeen
View abstract
chapter 5|44 pages
Using Biology to Solve a Problem in Automated
ByMachine Learning John R. Koza
View abstract
chapter 6|38 pages
The Frightening Complexity of Avoidance: A Neural Network Approach
View abstract
chapter 7|30 pages
In Praise of Parsimony
View abstract
chapter 8|40 pages
A Minimal Model of Transitive Inference
ByC. D. L. Wynne
View abstract

This volume presents an international group of researchers who model animal and human behavior--both simple and complex. The models presented focus on such subjects as the pattern of eating in meals and bouts, the energizing and shaping impact of reinforcers on behavior, transitive inferential reasoning, responding to a compound stimulus, avoidance and escape learning, recognition memory, category formation, generalization, the timing of adaptive responses, and chromosomes exchanging information. The chapters are united by a common interest in adaptive behavior--whether of human, animal, or artificial system--and clearly demonstrate the rich variety of ways in which this fascinating area of research can be approached.

In so doing, the book demonstrates the range of thought that qualifies as theorizing in the contemporary study of the mechanisms of adaptive behavior. It has two purposes: to bring together a very wide range of approaches in one place and to give authors space to explain how their ideas developed. Journal literature often presents fully-formed theories with no explanation of how an idea came to have the shape in which it is presented. In this volume, however, leaders in different fields provide background on the development of their ideas. Where once psychologists and a few zoologists had this field to themselves, now various types of computer scientists have added great energy to the mix.

TABLE OF CONTENTS
chapter 1|28 pages
Learning the Language of Mind: Symbolic Dynamics
View abstract
chapter 2|58 pages
Neural Substrates of Adaptively Timed Reinforcement, Recognition, and Motor Learning
View abstract
chapter 3|40 pages
Can the Whole Be Something Other Than the Sum of Its Parts?
View abstract
chapter 4|30 pages
The First Principle of Reinforcement
ByPeter R. Killeen
View abstract
chapter 5|44 pages
Using Biology to Solve a Problem in Automated
ByMachine Learning John R. Koza
View abstract
chapter 6|38 pages
The Frightening Complexity of Avoidance: A Neural Network Approach
View abstract
chapter 7|30 pages
In Praise of Parsimony
View abstract
chapter 8|40 pages
A Minimal Model of Transitive Inference
ByC. D. L. Wynne
View abstract
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