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Web page:
http://cw.felk.cvut.cz/doku.php/courses/ae4b33flp/start
Anotation:
This course introduces students into the techniques of functional programming in the LISP (or more precisely SCHEME) and HASKELL language and logic programming in the PROLOG language. Both languages are declarative in that the programmer symbolically describes the problem to be solved, rather than enumerating the exact sequence of actions to be taken. In PROLOG, one describes the problem by specifying properties of objects and relations thereamong through logic formulas. In LISP, the problem description takes the form of function definitions. Both languages have found significant applications in artificial intelligence fields, such as agent systems or symbolic machine learning.
Study targets:
Learn principles of functional and logic programming in the respective languages LISP and PROLOG.
Course outlines:
| 1. | | Introduction to declarative programming languages. Comparison to classical imperative languages. Introduction to programming for artificial intelligence. |
| 2. | | Lisp and Scheme: basic language idioms, atoms, lists, recursion. |
| 3. | | Scheme: lambda abstraction, built-in functions, advanced data structures. |
| 4. | | Scheme: relations between iterations and tail recursion optimisations guaranteed by the language standard, built-in high-order functions. |
| 5. | | Scheme: state space search, applications in artificial intelligence. |
| 6. | | Haskell: types, patterns, built-in functions, lambda abstraction. |
| 7. | | Haskell: advanced properties of the language in comparison to Scheme. |
| 8. | | Prolog: facts, rules and queries. Recursion. Query answering. |
| 9. | | Functions, unification, list operations. |
| 10. | | Prolog and logic: clauses, Herbrand base, interpretation, model, closed-world assumption, decidability. |
| 11. | | Cut and negation. Extralogical operators, arithmetics. |
| 12. | | Combinatorial search in Prolog. |
| 13. | | Constraint logic programming. |
| 14. | | Programming practices, debugging, built-in predicates. |
Exercises outline:
| 1. | | Scheme. First look at Scheme and its environment. Program debugging. Basic examples. |
| 2. | | Recursion. Accumulator. |
| 3. | | Lambda abstraction. |
| 4. | | Tail recursion. High-order function. |
| 5. | | Haskell. |
| 6. | | Prolog as a database. Facts, rules, queries. |
| 7. | | Recursion. Program debugging. |
| 8. | | Unificaton. List operations. |
| 9. | | List, cut and negation operations. |
| 10. | | Search algorithms, |
| 11. | | Search algorithms |
| 12. | | Constraint logic programming |
| 13. | | Constraint logic programming |
| 14. | | Credits |
Literature:
| P. | | Flach: Simply Logical, John Wiley 1994 |
| I. | | Bratko: Prolog programing for AI, Addison Wesley 2001 (3rd edition) |
| V. | | Mařík et al: Umělá |
inteligence I, II, Academia 1993 (In Czech)
| P. | | Jirků, P. Štěpánek, O. Štěpánková: Programování v Jazyku Prolog, SNTL 1991 (In Czech) |
| B. | | O'Sullivan, D. Stewart, and J. Goerzen: Real World Haskell, O'Reilly, November 2008, English, ISBN-10: 0596514980, ISBN-13: 978-0596514983 |
| B. | | Harvey and M. Wright: Simply Scheme, Introducing Computer Science, MIT Press, 1999 |
Requirements:
Discrete Mathematics, Logic and Graphs,
Programming 1+2.
Keywords:
LISP, PROLOG, functional programming, logic programming
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| Page updated 25.4.2025 17:53:37, semester: Z/2026-7, L/2025-6, Z/2024-5, L/2026-7, L/2024-5, Z/2025-6, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |