IA008 - Okruhy

1. Introduction to propositional and predicate logic

* König lemma * syntax and semantics of propositional logic, * logical connectives, * truth tables, * adequate set of truth connectives, axioms and inference rules, normal forms in propositional logic, clausal form, terms, atoms and formulas, Herbrand theorem, * prenex form, * Skolemization, interpretation.

2. Resolution

* Resolution in propositional logic, refinements of the resolution, resolution in predicate logic, substitution, unification, * linear resolution, * LI-resolution, * Horn clauses, * LD-resolution, * SLD-resolution, * soundness and completeness.

3. Logic programming and Prolog

Logic program, * SLD-trees, Prolog - syntax and semantics, * incompleteness, simple Prolog programs, meta-interpreters.

4. Tableau proofs

Signed formula, atomic tableau, tableau proofs in propositional logic, \alpha-, \beta-rules, tableau proofs in predicate logic, \gamma-, \delta- rules, finite tableau, reduced entry, contradictory path, finished tableau, tableau proof, tableau refutation, complete systematic tableau, soundness and completeness.

5. Inductive logic programming

basic task, example setting, generic algorithm, generalization and specialization, specialization operators, general-to-specific ILP, bias, Aleph system, assumption-based reasoning, assumption, assumption-based learning, WiM system.

6. Model Inference Problem

refinement operator, global and local completeness, ideal refinement operator, non-existence for reduced Horn clauses.

7. Frequent patterns

data mining task, frequent Datalog query, maximal frequent patterns, RAP algorithm

8. Deductive databases

extensional and intensional representation, Datalog, evaluation of Datalog queries

9. Non-classical logic:

Modal logic, modal tableau, non-monotonic inference,

 
skola/pripravaia008.txt · Poslední úprava: 2006/12/28 19:15 autor: srerucha

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