Prof.
Dr. Rolf Pfeifer
Fumiya Iida
Kojiro Matsushita
Massimiliano Lungarella
Geoff
Nitschke
Gabriel Gomez
Dale Thomas
Dr. Daniel Bisig
KVAI: Donnerstag 08.30 - 10.00
, Institut für Informatik, Uni Irchel, Höhrsaal 03-G-91
Exercises: Donnerstag
10.15 - 12.00 Uhr, Institut für Informatik, Uni Irchel, Höhrsaal
03-G-91
Prüfungsresultate
- 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
- ALICE (Turing Test machine ALICE)
- ELIZA (Turing Test machine ELIZA)
- Loebner Prize homepage