AIspace

Practice Exercises

Agent Architectures:
- Exercise 2.A: hierarchical control
Graph Searching:
- Exercise 3.A: thinking in discrete states
- Exercise 3.B: uninformed search
- Exercise 3.C: heuristic search
- Exercise 3.D: search
- Exercise 3.E: branch and bound search
Constraint Satisfaction Problems:
- Exercise 4.A: arc consistency
- Exercise 4.B: constraint satisfaction problems
- Exercise 4.C: SLS for CSP
Propositional Logic:
- Exercise 5.A: logic syntax
Reasoning under Uncertainty:
- Exercise 6.A: conditional independence and intro to belief networks
- Exercise 6.B: more on belief networks
- Exercise 6.C: variable elimination
- Exercise 6.D: probability and time
- Exercise 6.E: approximate inference
Supervised Learning:
- Exercise 7.A: decision trees
- Exercise 7.B: neural networks
- Exercise 7.C: Bayesian learning
Planning:
- Exercise 8.A: STRIPS
- Exercise 8.B: CSP planning
- Exercise 8.C: STRIPS to CSP
Decision Theory:
- Exercise 9.A: single decisions
- Exercise 9.B: sequential decisions
- Exercise 9.C: value iteration
Reinforcement Learning:
- Exercise 11.A: Q-learning
- Exercise 11.B: SARSA
Individuals and Relations:
- Exercise 12.A: datalog
- Exercise 12.B: proofs
- Exercise 12.C: predicate logic
Ontologies:
- Exercise 13.A: ontologies
Relational Probabilistic Reasoning:
- Exercise 14.A: probabilistic relational models