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Trang 1Artificial Intelligence: Exercises II
Agent Behaviour I
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Trang 2William Teahan
Artificial Intelligence:
Exercises – Agent Behaviour I
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Trang 3Artificial Intelligence: Exercises – Agent Behaviour I
1st edition
© 2010 William Teahan & bookboon.com
ISBN 978-87-7681-592-9
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Trang 4Artiicial Intelligence:
Exercises – Agent Behaviour I
4
Contents
Contents
Exercises for Artiicial Intelligence – Agent Behaviour I 8
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
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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Trang 5Artiicial Intelligence:
Exercises – Agent Behaviour I
5
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
8.1 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
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