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Contents


Acknowledgements *

Introduction *

0.1. Behaviour and the Evolution of Cognition *

0.2. Objects vs. Concepts *

0.3. Motivations *

0.4. Structure *

 

1. Behaviour-Based Systems *

1.1. Background *

1.1.1. What do we understand for intelligence? *

1.1.2. Will machines be able to have the same, or more intelligence than humans? *

1.2. What is a Behaviour-Based System? *

1.3. Some Areas of Application of BBS *

1.3.1. Robotics *

1.3.1.1. Why do we build intelligent robots? *

1.3.2. Software agents *

1.3.3. Artificial life *

1.3.4. Philosophy *

1.4. About BBS *

 

2. Artificial Societies *

2.1. Introduction to Complex Systems *

2.1.1. Behaviour-based systems as complex systems *

2.1.2. Social systems as complex systems *

2.2. Artificial Societies? *

2.3. Previous Work on Artificial Societies *

2.4. About Artificial Societies *

 

3. Behaviour-Based Intelligence *

3.1. Action Selection Mechanisms *

3.2. Behaviours Production Systems *

3.3. Blackboard Node Architecture *

3.4. Behavioural Columns Architecture: An Evolutionary Bottom-Up Approach *

3.5. Modelling Reflex Behaviours *

3.6. Modelling Reactive Behaviours *

3.7. Modelling Motivated Behaviours *

3.8. Modelling Learning *

3.8.1. Associative learning *

3.8.2.Dynamic adjustment of the motivation degree *

3.9. Properties of BeCA *

3.10. About the Behavioural Columns Architecture *

 

4. Behaviour-Based Social Emergence *

4.1. An I&I Model for Social Action *

4.1.1. The learning of the imitation factors *

4.2. Properties of I&I. *

4.3. About I&I *

 

5. A Behaviours Virtual Laboratory *

5.1. Virtual Labs and Behaviours Virtual Labs *

5.2. The Virtual Environment *

5.3. The Animats *

5.3.1. The perceptual system *

5.3.2. The internal medium *

5.3.3. The motor system *

5.3.4. The behaviours repertoire *

5.3.5. BeCA in the animats *

5.3.6. I&I in the animats *

5.4. The Interface *

5.5. About the BVL *

 

6. Experiments *

6.1. Intelligence in the BVL *

6.1.1. Modelling reflex behaviours *

6.1.2. Modelling reactive behaviours *

6.1.3. Modelling motivated behaviours *

6.1.4. Primary and secondary classical conditionings *

6.1.5. Learning the motivation degree *

6.1.6. Non persistence of a consummatory action in the presence of an aversive stimulus *

6.1.7. Degrees of motivation and reactiveness *

6.2. Social Emergence in the BVL *

6.2.1. Imitation of behaviour *

6.2.2. Induction of behaviour *

6.2.3. Learning of the imitation parameters *

6.2.4. Collective misbelief *

6.3. About the Experiments *

 

Conclusions *

Understanding Societies *

Future Work: The Path to Cognition *

Future Culture: Artificial Cognition *

Beliefs and Misbeliefs *

Philosophical Implications *

 

Glossary *

 

References *


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Carlos Gershenson