STUDY - Artificial Intelligence
STUDY - Introduction:
Definitions and approaches, Foundations of A.I., History of AI, Areas and state of the art in A.I.,
A.I. Programming languages, Concept of Intelligent Agents.
Problem Solving: Problem solving as state space search, production system, control strategies and problem
characteristics; Search techniques: Breadth First and Depth-first, Hill-climbing, Heuristics, Best-First Search,
A* algorithm, Problem reduction and AO* algorithm, Constraints satisfaction, Means Ends Analysis, Game
Knowledge Representation and Reasoning: Syntactic and Semantic representations, Predicate and prepositional
logic, Resolution, Unification, Deduction and theorem proving, Question answering; Forward versus backward
reasoning, Matching, Indexing;
Ontological Engineering, Formal Theory of Beliefs, Semantic Net, Frames, Conceptual Dependencies and
Scripts, Truth Maintenance Systems.
STUDY - Selected Topics and Applications:
Philosophical issues, Introduction to Natural Language Processing, Expert
Systems and Multiagent Systems.