Computational Intelligence (7ΕΠ01)
Instructor : Vassilis Plagianakos
Course typeElective
Semester7
TermFall Semester
ECTS5
Teaching hours3
Laboratory hours
Description
Foundations of Artificial Intelligence (AI). History of AI. Problem solving and problem representation. Search algorithms. Blind search algorithms. Heuristic search algorithms. Constraint satisfaction problems. Knowledge and knowledge representation. Reasoning and Logic. Uncertainty and Fuzzy logic. Knowledge systems. Planning problems. Autonomous programs (agents) and distributed AI systems. Non symbolic logic. Evolutionary and Genetic Algorithms. Neural Networks. Applications of AI.
Textbooks/Bibliography
  • Τεχνητή Νοημοσύνη, ΒΛΑΧΑΒΑΣ Ι.,ΚΕΦΑΛΑΣ Π.,ΒΑΣΙΛΕΙΑΔΗΣ Ν.,ΚΟΚΚΟΡΑΣ Φ.,ΣΑΚΕΛΛΑΡΙΟΥ Η., ΕΤΑΙΡΙΑ ΑΞΙΟΠΟΙΗΣΗΣ ΚΑΙ ΔΙΑΧΕΙΡΙΣΗΣ ΠΕΡΙΟΥΣΙΑΣ ΤΟΥ ΠΑΝΕΠΙΣΤΗΜΙΟΥ ΜΑΚΕΔΟΝΙΑΣ, 3η/2011, ΘΕΣ/ΝΙΚΗ
  • Τεχνητή Νοημοσύνη, μια σύγχρονη προσέγγιση, STUART RUSSELL, PETER NORVIG, ΕΚΔΟΣΕΙΣ ΚΛΕΙΔΑΡΙΘΜΟΣ ΕΠΕ, 2η/2005, ΑΘΗΝΑ
Assessment method
Written examination at the end of the semester and optional tasks.