The name is absent



3.6. Modelling Reactive Behaviours ....................................... 35

3.7. Modelling Motivated Behaviours ..................................... 38

3.8. Modelling Learning ................................................. 44

3.8.1. Associative learning ......................................... 44

3.8.2.Dynamic adjustment of the motivation degree ................... 47

3.9. Properties of BeCA ................................................. 49

3.10. About the Behavioural Columns Architecture .......................... 51

4. Behaviour-Based Social Emergence ........................................... 54

4.1. An I&I Model for Social Action ...................................... 55

4.1.1. The learning of the imitation factors ........................... 57

4.2. Properties of I&I................................................... 59

4.3. About I&I ........................................................ 59

5. A Behaviours Virtual Laboratory ............................................. 61

5.1. Virtual Labs and Behaviours Virtual Labs .............................. 62

5.2. The Virtual Environment ............................................ 63

5.3. The Animats ...................................................... 64

5.3.1. The perceptual system ....................................... 64

5.3.2. The internal medium ........................................ 65

5.3.3. The motor system ........................................... 65

5.3.4. The behaviours repertoire .................................... 66

5.3.5. BeCA in the animats ........................................ 67

5.3.6. I&I in the animats .......................................... 68

5.4. The Interface ...................................................... 68

5.5. About the BVL .................................................... 70

6. Experiments .............................................................. 72

6.1. Intelligence in the BVL ............................................. 73

6.1.1. Modelling reflex behaviours .................................. 73

6.1.2. Modelling reactive behaviours ................................ 74

6.1.3. Modelling motivated behaviours .............................. 75

6.1.4. Primary and secondary classical conditionings ................... 75

6.1.5. Learning the motivation degree ............................... 77

6.1.6. Non persistence of a consummatory action in the presence of an aversive
stimulus .................................................. 79

6.1.7. Degrees of motivation and reactiveness ......................... 80

6.2. Social Emergence in the BVL ........................................ 82

6.2.1. Imitation of behaviour ....................................... 82

6.2.2. Induction of behaviour ...................................... 83

6.2.3. Learning of the imitation parameters .......................... 84

6.2.4. Collective misbelief ......................................... 86



More intriguing information

1. Solidaristic Wage Bargaining
2. The Tangible Contribution of R&D Spending Foreign-Owned Plants to a Host Region: a Plant Level Study of the Irish Manufacturing Sector (1980-1996)
3. Naïve Bayes vs. Decision Trees vs. Neural Networks in the Classification of Training Web Pages
4. Analyse des verbraucherorientierten Qualitätsurteils mittels assoziativer Verfahren am Beispiel von Schweinefleisch und Kartoffeln
5. Conflict and Uncertainty: A Dynamic Approach
6. The name is absent
7. The name is absent
8. AGRICULTURAL TRADE IN THE URUGUAY ROUND: INTO FINAL BATTLE
9. Artificial neural networks as models of stimulus control*
10. Empirical Calibration of a Least-Cost Conservation Reserve Program