Slides from all lectures in one file

Introduction to artificial intelligence. Search and metaheuristics: concepts, introduction to single-solution based metaheuristics.

Single-solution based metaheuristics.

Population-based metaheuristics.

Introduction to planning, planning problem representation.

State space planning: forward search, backward search

Voluntary: Plan space planning (partial order planning).

Probability theory (short revision). Bayesian networks. Exact and approximate inference.

Probabilistic reasoning over time. Utility theory.

Decision making. Value iteration.

Robotics: motion planning and control