DOC PREVIEW
UT Dallas CS 4337 - #Sebesta pl10e ch16 logic prog

This preview shows page 1-2-3-18-19-37-38-39 out of 39 pages.

Save
View full document
View full document
Premium Document
Do you want full access? Go Premium and unlock all 39 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 39 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 39 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 39 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 39 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 39 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 39 pages.
Access to all documents
Download any document
Ad free experience
View full document
Premium Document
Do you want full access? Go Premium and unlock all 39 pages.
Access to all documents
Download any document
Ad free experience
Premium Document
Do you want full access? Go Premium and unlock all 39 pages.
Access to all documents
Download any document
Ad free experience

Unformatted text preview:

Chapter 16Chapter 16 TopicsIntroductionPropositionSymbolic LogicObject RepresentationCompound TermsParts of a Compound TermForms of a PropositionLogical OperatorsQuantifiersClausal FormPredicate Calculus and Proving TheoremsResolutionProof by ContradictionTheorem ProvingOverview of Logic ProgrammingExample: Sorting a ListThe Origins of PrologTermsTerms: Variables and StructuresFact StatementsRule StatementsExample RulesGoal StatementsInferencing Process of PrologApproachesSubgoal StrategiesBacktrackingSimple ArithmeticExampleTraceSlide 33List StructuresAppend ExampleMore ExamplesDeficiencies of PrologApplications of Logic ProgrammingSummaryChapter 16Logic Programming LanguagesCopyright © 2012 Addison-Wesley. All rights reserved. 1-2Chapter 16 Topics•Introduction•A Brief Introduction to Predicate Calculus•Predicate Calculus and Proving Theorems•An Overview of Logic Programming•The Origins of Prolog•The Basic Elements of Prolog•Deficiencies of Prolog•Applications of Logic ProgrammingCopyright © 2012 Addison-Wesley. All rights reserved. 1-3Introduction•Programs in logic languages are expressed in a form of symbolic logic•Use a logical inferencing process to produce results•Declarative rather that procedural:–Only specification of results are stated (not detailed procedures for producing them)Copyright © 2012 Addison-Wesley. All rights reserved. 1-4Proposition•A logical statement that may or may not be true–Consists of objects and relationships of objects to each otherCopyright © 2012 Addison-Wesley. All rights reserved. 1-5Symbolic Logic•Logic which can be used for the basic needs of formal logic:–Express propositions–Express relationships between propositions–Describe how new propositions can be inferred from other propositions•Particular form of symbolic logic used for logic programming called predicate calculusCopyright © 2012 Addison-Wesley. All rights reserved. 1-6Object Representation•Objects in propositions are represented by simple terms: either constants or variables•Constant: a symbol that represents an object•Variable: a symbol that can represent different objects at different times–Different from variables in imperative languagesCopyright © 2012 Addison-Wesley. All rights reserved. 1-7Compound Terms•Atomic propositions consist of compound terms•Compound term: one element of a mathematical relation, written like a mathematical function–Mathematical function is a mapping–Can be written as a tableCopyright © 2012 Addison-Wesley. All rights reserved. 1-8Parts of a Compound Term•Compound term composed of two parts–Functor: function symbol that names the relationship–Ordered list of parameters (tuple)•Examples:student(jon)like(seth, OSX)like(nick, windows)like(jim, linux)Copyright © 2012 Addison-Wesley. All rights reserved. 1-9Forms of a Proposition•Propositions can be stated in two forms:–Fact: proposition is assumed to be true–Query: truth of proposition is to be determined•Compound proposition:–Have two or more atomic propositions–Propositions are connected by operatorsCopyright © 2012 Addison-Wesley. All rights reserved. 1-10Logical OperatorsName Symbol Example Meaningnegation a not aconjunctiona  b a and bdisjunctiona  b a or bequivalencea  b a is equivalent to bimplicationa  ba  ba implies bb implies aCopyright © 2012 Addison-Wesley. All rights reserved. 1-11QuantifiersName Example Meaninguniversal X.P For all X, P is trueexistential X.P There exists a value of X such that P is trueCopyright © 2012 Addison-Wesley. All rights reserved. 1-12Clausal Form•Too many ways to state the same thing•Use a standard form for propositions•Clausal form:–B1  B2  …  Bn  A1  A2  …  Am–means if all the As are true, then at least one B is true•Antecedent: right side•Consequent: left sideCopyright © 2012 Addison-Wesley. All rights reserved. 1-13Predicate Calculus and Proving Theorems•A use of propositions is to discover new theorems that can be inferred from known axioms and theorems•Resolution: an inference principle that allows inferred propositions to be computed from given propositionsCopyright © 2012 Addison-Wesley. All rights reserved. 1-14Resolution•Unification: finding values for variables in propositions that allows matching process to succeed•Instantiation: assigning temporary values to variables to allow unification to succeed•After instantiating a variable with a value, if matching fails, may need to backtrack and instantiate with a different valueCopyright © 2012 Addison-Wesley. All rights reserved. 1-15Proof by Contradiction•Hypotheses: a set of pertinent propositions•Goal: negation of theorem stated as a proposition•Theorem is proved by finding an inconsistencyCopyright © 2012 Addison-Wesley. All rights reserved. 1-16Theorem Proving•Basis for logic programming•When propositions used for resolution, only restricted form can be used•Horn clause - can have only two forms–Headed: single atomic proposition on left side–Headless: empty left side (used to state facts)•Most propositions can be stated as Horn clausesCopyright © 2012 Addison-Wesley. All rights reserved. 1-17Overview of Logic Programming•Declarative semantics–There is a simple way to determine the meaning of each statement–Simpler than the semantics of imperative languages•Programming is nonprocedural–Programs do not state now a result is to be computed, but rather the form of the resultCopyright © 2012 Addison-Wesley. All rights reserved. 1-18Example: Sorting a List•Describe the characteristics of a sorted list, not the process of rearranging a listsort(old_list, new_list)  permute (old_list, new_list)  sorted (new_list)sorted (list)  j such that 1 j < n, list(j)  list (j+1)Copyright © 2012 Addison-Wesley. All rights reserved. 1-19The Origins of Prolog•University of Aix-Marseille (Calmerauer & Roussel)–Natural language processing•University of Edinburgh (Kowalski)–Automated theorem provingCopyright © 2012 Addison-Wesley. All rights reserved. 1-20Terms•This book uses the Edinburgh syntax of Prolog•Term: a constant, variable, or structure•Constant: an atom or an integer•Atom: symbolic value of Prolog•Atom consists of either:–a string of letters, digits, and underscores beginning with a lowercase letter–a string of printable ASCII characters delimited by


View Full Document

UT Dallas CS 4337 - #Sebesta pl10e ch16 logic prog

Download #Sebesta pl10e ch16 logic prog
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view #Sebesta pl10e ch16 logic prog and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view #Sebesta pl10e ch16 logic prog 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?