IA008 Computational Logic

Faculty of Informatics
Spring 2010
Extent and Intensity
2/2. 4 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
Teacher(s)
Mgr. Eva Mráková, Ph.D. (seminar tutor)
Mgr. Tomáš Laurinčík (seminar tutor)
doc. RNDr. Lubomír Popelínský, Ph.D. (lecturer)
Mgr. Ondřej Nečas (seminar tutor)
Mgr. Marek Trtík, Ph.D. (seminar tutor)
Mgr. Juraj Jurčo (assistant)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Contact Person: doc. RNDr. Lubomír Popelínský, Ph.D.
Timetable
Tue 10:00–11:50 D1
  • Timetable of Seminar Groups:
IA008/01: Tue 15:00–16:50 D3, E. Mráková
IA008/02: Thu 14:00–15:50 C511, E. Mráková
IA008/03: Fri 12:00–13:50 B410, T. Laurinčík
Prerequisites (in Czech)
! I008 Computational Logic
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 111 student(s).
Current registration and enrolment status: enrolled: 0/111, only registered: 0/111, only registered with preference (fields directly associated with the programme): 0/111
fields of study / plans the course is directly associated with
there are 18 fields of study the course is directly associated with, display
Course objectives
At the end of the course students should be familiar with main research and applications in computational logic; They will be able to use automatic provers for predicate logic and also for its extensions; They will be familiar with, and able to use, methods for inductive inference in those logics;
Syllabus
  • Introduction to propositional and predicate logic.
  • Deduction: Resolution; Logic programming; Prolog, extralogical features, metainterpreters; Definite clause grammars; Deductive databases; Tableau proofs. Theorem proving in modal logic.
  • Induction: Basics of inductive logic programming; Model inference problem; Assumption-based reasoning and learning; Learning frequent patterns.
  • Logic for natural language processing.
  • Knowledge representation and reasoning: Non-classical logic; Knowledge-based systems; Non-monotonic reasoning; Semantic web.
Literature
  • NERODE, Anil and Richard A. SHORE. Logic for applications. New York: Springer-Verlag, 1993, xvii, 365. ISBN 0387941290. info
  • FITTING, Melvin. First order logic and automated theorem proving. 2nd ed. New York: Springer, 1996, xvi, 326. ISBN 0387945938. info
  • NIENHUYS-CHENG, Shan-Hwei and Ronald de WOLF. Foundations of inductive logic programming. Berlin: Springer, 1997, xvii, 404. ISBN 3540629270. info
Teaching methods
lectures, exercises.
Assessment methods
A midterm written exam and a written final exam.
Language of instruction
English
Further Comments
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~popel/lectures/complog/
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2011, Spring 2012, Spring 2013, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2010, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2010/IA008