Inteligência Artificial

Knowledge

• Paradigms, areas and applications of Artificial Intelligence.
• Blind, informed and local search algorithms. Heuristics and evaluation functions. Complexity.
• Inference in propositional logic, first order logic and Bayesian networks. Limitations.
• Planning languages and algorithms for plan generation.
• Learning approaches and its essential algorithms.

Application

• Model search problems, specify heurisitics and assess its behaviour in practice.
• Implement search algorithms. Parameterise and experiment with the algorithms.
• Model and solve problems with Logic Programming.
• Model knowledge with Bayesian networks. Perform predictive and diagnosis tasks.

Soft-Skills

• Choose appropriately instruments weighing the solution quality against the time/space necessary to obtain it.
• Justify or choose solutions.
• Do team work with report writing and deadline fulfillment.
• Abstract modelling capabilities.