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Introduction
Up:
Some background
Previous:
Axhausen lecture
 
Contents
Learning and feedback
Subsections
Introduction
Additional aspects of day-to-day learning
Individualization of knowledge
Classifier System and Agent Database
Individual plans storage
Interpretation as dynamical system
Deterministic systems
Stochastic systems
Transients
Relation to game theory
Relation to machine learning
Smart agents and non-predictability
Conclusion
2004-02-02