A. I. Cuza University of Iaşi

Special Chapters in Artificial Intelligence

Course nameSpecial Chapters in Artificial Intelligence CodeMOC2102
Class Master of Computational Optimization, 2009 - 2011
Level Master Year 1 Semester 1 Status Compulsory
Hours per weekTotal hours per semesterTotal hours of individual workCreditsEvaluation typeTeaching language
CSLPr
2 1 1 0 56 168 8 P ro
Taught byAcademic and scientific title, name
Associate Professor, PhD, Liviu Ciortuz
Lecturer, PhD, Cristian Gaţu
Required courses
ObjectivesUnderstanding some modern technics in artificial intelligence
General thematicsModule 1: (Lect. Dr. Cristian Gaţu)
1.1 Probability and random variables; statistical measures and distributions
1.2 Matrix Algebra and Statistics
1.3 Regression
1.4 Model Selection
1.5 Computational strategies for model selection (OWN RESEARCH)
1.6 Principal Component Analysis and Factor Analysis


Module 2: (Assoc. Prof. Liviu Ciortuz)
2.1 Unification in first-order logic (Lloyd)
2.2 Feature structure unification
2.3 Typed-unification grammars; (Carpenter)
parsing in typed-unification grammars (Kay, Sikkel, Ciortuz)
2.4 Fluid Construction Grammars (Steels, De Beule, Gherasymova)

Seminary / Laboratory thematicsImplementing of some of the presented algorithms and their applications
Presentation of recent papers in the area
Teaching methodsSlides on video-projector
BibliographyModule 1 – Lect. Dr. Cristian Gaţu:

  • T. Hastie, R. Tibshirani and J. Friedman. The Elements of Statistical Learning, Springer, 2001.
  • T.M. Mitchell. Machine Learning, McGraw-Hill, 1997.
  • G. A. F. Seber, Linear Regression Analysis, John Wiley and  Sons Inc, 1977.
  • N.R. Draper and H. Smith, Applied Regression Analysis, John Wiley and Sons Inc, 1966.
  • C.R. Rao and H. Toutrnburg, Linear Models (Least Squares and Alternatives), Springer, 1999.
  • R.A. Johnson and D.W. Wichem, Applied Multivariate Statistical Analysis, Prentice Hall, 1982.
  • D.F. Morrison, Multivariate Statistical Methods, McGraw Hill, N.Y, 1990.
  • E.J. Kontoghiorghes, Parallel Algorithms for Linear Models: Numerical Methods and Estimation Problems, Advances in Computational Economics, Vol 15, Kluwer Academic Publishers. Boston, MA, 2000
Module 2 – Conf. Dr. Liviu Ciortuz:

  • Hassan Ait-Kaci, Andreas Podelski, Towards a meaning of LIFE, Journal of Logic Programming, vol. 16, pag. 195-234, 1993
  • Liviu Ciortuz, Parsing with Unification-Based Grammars -- The LIGHT Compiler, EditDan, 2003
  • Liviu Ciortuz, LIGHT -- a constraint language and compiler system for typed-unification grammars. In Advances in Artificial Intelligence, Proceedings of the 25th Annual German Conference on AI, M. Jarke, J. Koehler, G. Lakemeyer (eds.), Springer-Verlag, Lecture Notes in Computer Science, vol. 2479, pag. 3-17, 2002
  • Peter Norvig, Artificial Intelligence Paradigms,  Morgan Kaufmann, 1992
  • Klaas Sikkel, Parsing Schemata, Springer Verlag, 1997
  • Luc Steels, Joachim De Beule, Nicolas Neubauer, Joris Van Looveren, Fluid Construction Grammars. In Proceedings of the International Conference on Construction Grammars, 2004
  • Joachim De Beule, Luc Steels, Hierarchy in Fluid Construction Grammar. In Proceedings of KI-2005, U. Furbach (ed.), Springer-Verlag, Lecture Notes in Artificial Intelligence, vol. 3698, pag. 1-15, 2005
  • Luc Steels, Joachim De Beule, Unify and Merge in Fluid Construction Grammar. In Proceedings of KI-2006, C. Lyon, A. Cangelosi, C.L. Nehaniv (eds.), Springer-Verlag, Lecture Notes in Computer Science, 2006
  • Martin Loetzsch, Pieter Wellens, Joachim De Beule, Joris Bleys, Remi van Trijp, The Babel2 Manual, AI-Memo 01-08, AI-Lab, Vrije Universiteit Brussels, Belgium, 2008
  • Kateryna Gerasymova, Luc Steels, Remi van Trijp, Aspectual Morphology of Russian Verbs in Fluid Construction Grammar. In Proceedings of the 31th Annual Conference of the Cognitive Science Society, N.A. Taatgen, H. van Rijn, (eds.), pag. 1370-1375, 2009
  • Kateryna Gerasymova, *, MSc Thesis, Humbold University, Berlin, 2009
Evaluationconditions
criterias
modes
formulaBasis (1 point) + Module 1 (4.5 points)  + Module 2 (4.5 points)
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