First-Order Logic Two - Artificial Intelligence - Lecture Slides, Slides of Artificial Intelligence

Some concept of Artificial Intelligence are Agents and Problem Solving, Autonomy, Programs, Classical and Modern Planning, First-Order Logic, Resolution Theorem Proving, Search Strategies, Structure Learning. Main points of this lecture are: First-Order Logic Two, Logical Agents, Calculi, Logical Agent Framework, Logic In General, Knowledge Representation, Inference, Theorem, Planning, Normal Forms

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2012/2013

Uploaded on 04/29/2013

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Lecture 14 of 41
First-Order Logic
and Theorem Proving
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Lecture 14 of 41

First-Order Logic

and Theorem Proving

Lecture Outline

  • Today’s Reading

  • Next Week’s Reading: Chapters 9-10, R&N
  • Previously: Introduction to Propositional and First-Order Logic
    • Last Friday (17 Sep 2004)
      • FOL agents, issues: frame, ramification, qualification problems
      • Solutions: situation calculus, circumscription by successor state axioms
    • Monday (20 Sep 2004)
      • First-order logic (FOL): predicates, functions, quantifiers
      • Sequent rules, proof by refutation
  • Today: FOL Knowledge Bases and Theorem Proving
    • Forward Chaining with And-Introduction, Universal Elimination, Modus Ponens
    • Ontology, History of Logic, Russell’s Paradox
    • Unification, Logic Programming Basics
  • Next Week: Resolution, Logic Programming, Decidability of SAT

Taking Stock:

FOL Inference

  • Previously: Logical Agents and Calculi
  • Review: FOL in Practice
    • Agent “toy” world: Wumpus World in FOL
    • Situation calculus
    • Frame problem and variants (see R&N sidebar)
      • Representational vs. inferential frame problems
      • Qualification problem: “what if?”
      • Ramification problem: “what else?” (side effects)
    • Successor-state axioms
  • FOL Knowledge Bases
  • FOL Inference
    • Proofs
    • Pattern-matching: unification
    • Theorem-proving as search
      • Generalized Modus Ponens (GMP)
      • Forward Chaining and Backward Chaining

Automated Deduction (Chapters 8-10 R&N)

Search with Primitive Inference Rules

A Brief History of Reasoning:

Chapter 8 End Notes, R&N

Ontology

  • Ontology: “What Objects Exist and Are Symbolically Representable?”
  • Issue: Grouping Objects and Describing Families
    • Grouping objects and describing families
    • Example: sets of sets
      • Russell’s paradox: http://plato.stanford.edu/entries/russell-paradox/
      • (Four) responses: types, formalism, intuitionism, Zermelo-Fraenkel set theory
    • Sidebar: natural kinds (p. 232)
  • Issue: Reasoning About Time
    • Modal logics (CIS 301)
    • Interval logics (Section 8.4 R&N p. 238-241)
  • Example Domains
    • Grocery shopping (Section 8.5 R&N); similar example in Winston 3e
    • Data models for knowledge discovery in databases (KDD)
      • Data dictionaries
      • See grocery example, especially p. 249 - 252

Unification:

Definitions and Idea Sketch

Soundness of GMP

Forward Chaining

Backward Chaining

Example:

Backward Chaining

Completeness Redux

Completeness in FOL