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Transcript
INTELLIGENT SYSTEMS
LECTURE 1
Ph. D. Lect. Horia Popa Andreescu
2012-2013 3rd year, semester 6
GENERAL DESCRIPTION
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Optional lecture
1 semester
14 lectures (placed in 10 weeks, I have yet to figure
out how)
14 labs of 1 hour / semigroup kept as 7 labs of 2 hours
once every 2 weeks (same observation as for the
lecture)
Written exam
2 Lab projects
Extra credits opportunities
The students who want to take some projects for lab
presences have to come in the first two weeks to be
assigned to the projects and discuss what they have to
do.
Artificial Intelligence, lecture 1
2
BIBLIOGRAPHY
[GR] J. Giarratano, G. Riley - Expert Systems:
Principles and Programming, PWS Pbs. Comp.,
ITP, 4th edition, 2005
 [BCG] F.L. Bellifemine, G. Caire, D. Greenwood –
Developing Multi-Agent Systems with JADE,
Wiley, 2007
 [W1] Mark Watson – Practical Artificial
Intelligence Programming With Java AI 3rd ed.,
2008
 [C] D. Cârstoiu – Sisteme Expert, Editura ALL,
București, 1994
 [M] A. Martinoli - Distributed intelligent systems
and algorithms laboratory DISAL http://jahiaprod.epfl.ch/page-32632-en.html
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Artificial Intelligence, lecture 1
3
INTELLIGENT SYSTEMS
What can be included in a course about
Intelligent Systems:
 Expert systems
 Multi agent systems
 Natural inspired based systems:
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Swarm intelligence, Ant colony optimisation,
Genetic algorithms
Robotics:
Machine learning
 Collective movements
 Distributed sensing and action
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Artificial Intelligence, lecture 1