Wintersemester 2002/2003
377 KV Artificial Intelligence
(last update: 21.02.2003)
Prof. Dr. Rolf Pfeifer
Kojiro Matsushita
Dale Thomas
Simon Bovet
Geoff Nitschke
Dr. Daniel Bisig
KVAI: Donnerstag 08.30 - 10.00 ,
Institut für Informatik, Uni Irchel, Höhrsaal 03-G-85
Exercises: Donnerstag 10.15 - 12.00 Uhr, Institut für Informatik, Uni Irchel,
Höhrsaal 03-G-85, ifi 27-G-28
Information:
21.02.2003 Upload: the answers of final exam. Please check the results of final exam and final marks.
14.02.2003 Upload: the results of final
exam and final marks. Contact: Matsushita.
13.02.2003 To the students on
this list, please email me the answers
of your task sheet 06 page 3 by 14.02.2003.
13.02.2003 Prof. Pfeifer group moved to “Andreasstrasse 15”.
11.02.2003 The results of Final Exam will be on this KVAI website
by 14.02.2003.
04.02.2003 Update:
Exercise Marks *Please check your task sheet 06
mark.
23.01.2003 Upload: Task sheet Marking
Scheme
Contents:
While in the classical approach intelligence was viewed essentially as information processing taking place in the brain, more recently the insight that the interaction with the environment is of central importance is gaining more and more acceptance. This has lead to the metaphor of embodiment, which means that intelligence is always a property of an entire organism, which often leads to surprising insights. The class provides a systematic introduction to "New Artificial Intelligence" (also called embodied AI/Cognitive Science).
- The study of
intelligence
- Classical approaches to cognitive science and their problems
- Theoretical foundations of New AI
- Neural networks for adaptive systems
- Braitenberg vehicles
- Subsumption architecture
- Evolutionary approaches and artificial life
- Design principles of autonomous agents
- Case studies
- Future prespectives
Assignments (Check the latest
information of the class!)
Literature:
-Pfeifer, R. & Scheier, C. (1999). Understanding
Intelligence. Cambridge,
Mass.: MIT Press.
Go to
"Understanding Intelligence" book homepage
"People trained in
classical AI will find this book an articulate and thought-provoking challenge
to much that they have taken for granted. People new to cognitive science will
find it a stimulating introduction to one of the field's most productive
controversies. Pfeifer and Scheier deserve our thanks for a thorough,
assessible, and courteous contribution in the best tradition of scholarly
debate."
-- H. Van Dyke, Computing Reviews
Related links:
- Artificial Intelligence Laboratory
- Neuronics (company
producing NNetView simulator and Samurai robot)
- Cyberbotics ( company producing
Webots simulator)
- K-team (company producing Khepera robot)
- ALICE
(Turing Test machine ALICE)
- ELIZA (Turing Test
machine ELIZA)
- Loebner Prize
homepage