Chandrasekaran Intelligence as Adaptive Behavior

An Experiment in Computational Neuroethology
1. Auflage 2013
ISBN: 978-1-4832-8812-3
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 240 Seiten, Web PDF

The 'intelligence' of traditional artificial intelligence systems is notoriously narrow and inflexible--incapable of adapting to the constantly changing circumstances of the real world. Although traditional artificial intelligence systems can be successful in narrowly prescribed domains, they are inappropriate for dynamic, complex domains, such as autonomous robot navigation.**This book proposes an alternative methodology for designing intelligent systems based on a model of intelligence as adaptive behavior. The author describes an experiment in computational neuroethology--the computer modeling of neuronal control of behavior--in which the nervous system for an artificial insect is modeled. The experiment demonstrates that simple, complete intelligent agents are able to cope with complex, dynamic environments--suggesting that adaptive models of intelligence, based on biological bases of adaptive behavior, may prove to be very useful in the design of intelligent, autonomous systems. - Provides a lucid critique of traditional artificial intelligence research programs - Presents new methodology for the construction autonomous agents, which has implications for mobile robotics - Of interest to researchers in a variety of fields: artificial intelligence, neural networks, robotics, cognitive science, and neuroscience

Autoren/Hrsg.

Chandrasekaran, B.

Inhaltsverzeichnis

1;Front Cover;1
2;Intelligence as Adaptive Behavior: An Experiment in Computational Neuroethology;4
3;Copyright Page;5
4;Table of Contents;12
5;Dedication;6
6;Editor's Note;8
7;Preface;16
8;List of Figures;22
9;Chapter 1. Foundations;26
9.1;1.1 Introduction;26
9.2;1.2 The Traditional View;26
9.3;1.3 An Empirical Critique;30
9.4;1.4 An Alternate View;36
9.5;1.5 An Artificial Insect;43
10;Chapter 2. Biological Background;46
10.1;2.1 Introduction;46
10.2;2.2 Animal Behavior;46
10.3;2.3 Neurobiology;50
11;Chapter 3. The Artificial Insect;70
11.1;3.1 Introduction;70
11.2;3.2 Physical Models;70
11.3;3.3 Neural Model;74
11.4;3.4 Simulation;87
11.5;3.5 Related Work;89
12;Chapter 4. Locomotion;96
12.1;4.1 Introduction;96
12.2;4.2 Neuroethological Background;96
12.3;4.3 Leg Controller;100
12.4;4.4 Locomotion Controller;102
12.5;4.5 Results;105
12.6;4.6 Neuroethological Significance;110
12.7;4.7 Related Work;112
13;Chapter 5. Lesion Studies;114
13.1;5.1 Motivation;114
13.2;5.2 Perturbation Methods;115
13.3;5.3 Robustness;117
13.4;5.4 Function;123
14;Chapter 6. Exploration;134
14.1;6.1 Overview;134
14.2;6.2 Turning;134
14.3;6.3 Wandering;136
14.4;6.4 Recoil;138
14.5;6.5 Edge-Following;145
15;Chapter 7. Feeding;150
15.1;7.1 Introduction;150
15.2;7.2 Feeding as a Motivated Behavior;150
15.3;7.3 Appetitive Component;152
15.4;7.4 Consummatory Component;153
15.5;7.5 Results;157
16;Chapter 8. Behavioral Choice;166
16.1;8.1 Introduction;166
16.2;8.2 Behavioral Organization of P. computatrix;167
16.3;8.3 Neural Mechanisms for Behavioral Choice;169
16.4;8.4 Locomotion Controller Revisions;170
16.5;8.5 Wandering Controller Revisions;172
16.6;8.6 Edge-Following Controller Revisions;174
16.7;8.7 Feeding Controller Revisions;176
16.8;8.8 Results;180
17;Chapter 9. Discussion;184
17.1;9.1 Introduction;184
17.2;9.2 Representation in P . computatrix;184
17.3;9.3 Goals and Reactive Responses;188
17.4;9.4 Heterogeneous Neural Networks;191
17.5;9.5 Neurobiological Implications;193
17.6;9.6 Autonomous Robots;194
17.7;9.7 Conclusion;195
18;Appendix A: Physical Parameters;198
19;Appendix B: Neural Parameters;202
19.1;B.1 Leg Controller;203
19.2;B.2 Locomotion Controller;205
19.3;B.3 Turning Controller;205
19.4;B.4 Wandering Controller;206
19.5;B.5 Backward Locomotion Controller;207
19.6;B.6 Recoil Controller;208
19.7;B.7 Edge-Following Controller;209
19.8;B.8 Appetitive Controller;211
19.9;B.9 Consummatory Controller;212
19.10;B.10 Locomotion Controller Revisions;214
19.11;B.11 Wandering Controller Revisions;215
19.12;B.12 Edge-Following Controller Revisions;215
19.13;B.13 Consummatory Controller Revisions;216
19.14;B.14 Appetitive Controller Revisions;217
20;Bibliography;220
21;Index;234