The name is absent



Contents

Abstract .................................................................... vii

Introduction ................................................................. 1

0.1. Behaviour and the Evolution of Cognition ............................... 2

0.2. Objects vs. Concepts ................................................. 5

0.3. Motivations ........................................................ 6

0.4. Structure ........................................................... 6

1. Behaviour-Based Systems .................................................... 8

1.1. Background ........................................................ 9

1.1.1. What do we understand for intelligence? ....................... 12

1.1.2. Will machines be able to have the same, or more intelligence than
humans? ................................................. 13

1.2. What is a Behaviour-Based System? ................................... 14

1.3. Some Areas of Application of BBS .................................... 16

1.3.1. Robotics .................................................. 16

1.3.1.1. Why do we build intelligent robots? .................... 17

1.3.2. Software agents ............................................ 17

1.3.3. Artificial life ............................................... 18

1.3.4. Philosophy ................................................. 18

1.4. About BBS ........................................................ 19

2. Artificial Societies ......................................................... 20

2.1. Introduction to Complex Systems ..................................... 21

2.1.1. Behaviour-based systems as complex systems .................... 22

2.1.2. Social systems as complex systems ............................. 22

2.2. Artificial Societies? ................................................. 23

2.3. Previous Work on Artificial Societies .................................. 24

2.4. About Artificial Societies ............................................ 25

3. Behaviour-Based Intelligence ................................................ 26

3.1. Action Selection Mechanisms ........................................ 27

3.2. Behaviours Production Systems ....................................... 30

3.3. Blackboard Node Architecture ....................................... 31

3.4. Behavioural Columns Architecture: An Evolutionary Bottom-Up Approach
............................................................... 32

3.5. Modelling Reflex Behaviours ......................................... 34

iv



More intriguing information

1. What Lessons for Economic Development Can We Draw from the Champagne Fairs?
2. Climate change, mitigation and adaptation: the case of the Murray–Darling Basin in Australia
3. CAPACITAÇÃO GERENCIAL DE AGRICULTORES FAMILIARES: UMA PROPOSTA METODOLÓGICA DE EXTENSÃO RURAL
4. European Integration: Some stylised facts
5. Managing Human Resources in Higher Education: The Implications of a Diversifying Workforce
6. Transfer from primary school to secondary school
7. Industrial Cores and Peripheries in Brazil
8. Declining Discount Rates: Evidence from the UK
9. Flatliners: Ideology and Rational Learning in the Diffusion of the Flat Tax
10. News Not Noise: Socially Aware Information Filtering