Advanced Topics in Artificial Intelligence

Περιγραφή Μαθήματος - Περιεχόμενο Μαθήματος: 

Advanced Topics in Artificial Intelligence

Module Title: Advanced Topics in Artificial Intelligence
Teaching hours: 39
Credits: 7,5
Semester: 2nd
Instructor: Professor Emmanouil Marakakis, School for Applied Technology, TEI of Crete
Course short description

Course Objectives

Artificial Intelligence (AI) is a broad field. It is concerned with getting computers to do tasks that require human intelligence. The aim of this course is to teach students the fundamental concepts and principles of AI as well as advanced techniques of AI. In addition, its aim is to teach the appropriate programming tools for developing AI applications which use advanced AI techniques, as well as to develop an appreciation for the engineering issues underlying the design and development of AI systems.  The students are expected to get the required knowledge in order to be able to develop projects and to carry out research in AI.

Indicative Syllabus

  • The Prolog Language.
  • Syntax and meaning of Prolog programs, unification.
  • Lists and arithmetic in Prolog.
  • Search trees, backtracking and negation.
  • input-output predicates.
  • User defined operators.
  • Built-in  predicates.
  • Programming Techniques.  
  • Problem Solving by Search.
  • State space representation of problems.
  • Blind search techniques.
  • Heuristic search techniques.
  • Knowledge representation and reasoning schemes.
  • Declarative and procedural knowledge representation.
  • Reasoning.
  • Knowledge representation and reasoning in logic (propositional logic, predicate logic)..
  • Rule-based systems.
  • Uncertain knowledge and reasoning.
  • Knowledge-based Systems.
  • Knowledge-based systems architecture.
  • Knowledge acquisition.
  • Tools for constructing knowledge-based systems.
  • Knowledge-based systems development.
  • Natural Language Processing.
  • Definite clause grammar.
  • Syntax and parsing.
  • Semantics and meaning.
  • Meta-programming.
  • Ground representation.
  • Non ground representation.
  • Meta-interpreters.
  • Other Topics in AI.
  • Logic Programming.
  • Automated Software Engineering.

Bibliography:
1.    S. Russell, P. Norving, Artificial Intelligence: A Modern Approach, Prentice-Hall International, Third edition, 2010.
2.    G.F. Luger, W. A. Stubblefield, Artificial Intelligence: Structures and Strategies for Complex Problem Solving,  Addison-Wesley,  6th  edition, 2009.
3.    David Poole, Alan Mackworth, Randy Goebel, Computational Intelligence: a logical approach, Oxford University Press, 2004.
4.    Bratko, “Prolog Programming for Artificial Intelligence”, Addison-Wesley, fourth edition, 2012.
5.    W. F. Clocksin, C. S. Melish, “Programming in Prolog”, Springer-Verlag,  5th edition, 2003.

Ακαδημαϊκός Υπεύθυνος: 
mmarak's picture
Μαρακάκης Μαρακάκης
Marakakis Manolis
Professor
(+30) 2810 379748
Διδάσκοντες: 
mmarak's picture
Μαρακάκης Μαρακάκης
Marakakis Manolis
Professor
(+30) 2810 379748

Director
Papadourakis George Professor, papadour@cs.teicrete.gr

Secretary
Address: Department of Electrical and Computer Engineering, School of Engineering, Hellenic Mediterranean University Heraklion, Crete,
P.O Box: 71500
Tel: 2810-379170, Fax: 2810-379717
Website: https://www.hmu.gr/mscie
e-mail: secrmsc-im@hmu.gr

Administrators
Tel: 2810-379708, 379776