Artificial Intelligence Exercises II

ArtificialIntelligence:ExercisesII
AgentBehaviourI
WilliamJohnTeahan

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William Teahan

Artificial Intelligence:
Exercises – Agent Behaviour I

2
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Artificial Intelligence: Exercises – Agent Behaviour I
1st edition
© 2010 William Teahan & bookboon.com
ISBN 978-87-7681-592-9

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Download free eBooks at bookboon.com


Artiicial Intelligence:
Exercises – Agent Behaviour I

Contents

Contents

Exercises for Artiicial Intelligence – Agent Behaviour I

8

Preface

9

6

Behaviour

14

6.1

What is behaviour?

14

6.2

Reactive versus Cognitive Agents

16

6.3

Emergence, Self-organisation, Adaptivity and Evolution

17

6.4

he Frame of Reference Problem

18

6.5

Stigmergy and Swarm Intelligence

19

6.6

Implementing behaviour of Turtle Agents in NetLogo

20

6.7

Boids

24

7

Communication

44

7.1

Communication, Information and Language

44

7.2

he diversity of human language

44

7.3

Communication via communities of agents

44

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Artiicial Intelligence:
Exercises – Agent Behaviour I

Contents

7.4

Communicating Behaviour

45

7.5

he Small World Phenomenon and Dijkstra’s algorithm

48

7.6

Using communicating agents for searching networks

57

7.7

Entropy and Information

60

7.8

Calculating Entropy in NetLogo

61

7.9

Language Modelling

64

7.10

Entropy of a Language

70

7.11

Communicating Meaning

74

8

Search

76

8.1

Search Behaviour

76

8.2

Search Problems

76

8.3

Uninformed (blind) search

97

8.4

Implementing uninformed search in NetLogo

97

8.5

Search as behaviour selection

98

8.6

Informed search

100

8.7

Local search and optimisation

103

8.8

Comparing the search behaviours

103

360°
thinking

.

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