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Programming In Prolog by William F. Clocksin

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1Programming In Logic Without Prolog

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2Programming In Pure Prolog

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3Prolog Programming In Depth

The Turing test is more than mere theatre: it shows us

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4Further Programming In PROLOG : Writing Application Programs

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259p. : 25cm

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  • Language: English

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5Introduction To Programming Languages: Programming In C, C++, Scheme, Prolog, C#, And SOA

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259p. : 25cm

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  • Title: ➤  Introduction To Programming Languages: Programming In C, C++, Scheme, Prolog, C#, And SOA
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  • Language: English

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6Prolog Programming In Depth

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Includes bibliographical references (pages 497-501) and index

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7DTIC ADA632218: Extended DCG Notation: A Tool For Applicative Programming In Prolog

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This report describes a preprocessor that simplifies purely applicative programming in Prolog. The preprocessor generalizes Prolog's Definite Clause Grammar (DCG) notation to allow programming with multiple accumulators. It has been an indispensable tool in the development of an optimizing Prolog compiler. Its use is transparent in versions of Prolog that conform to the Edinburgh standard. This report contains a description of the preprocessor, a user manual, a large example program, and the source code of the preprocessor.

“DTIC ADA632218: Extended DCG Notation: A Tool For Applicative Programming In Prolog” Metadata:

  • Title: ➤  DTIC ADA632218: Extended DCG Notation: A Tool For Applicative Programming In Prolog
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  • Language: English

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8Kernels On Prolog Proof Trees: Statistical Learning In The ILP Setting (Special Topic On Inductive Programming)

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This report describes a preprocessor that simplifies purely applicative programming in Prolog. The preprocessor generalizes Prolog's Definite Clause Grammar (DCG) notation to allow programming with multiple accumulators. It has been an indispensable tool in the development of an optimizing Prolog compiler. Its use is transparent in versions of Prolog that conform to the Edinburgh standard. This report contains a description of the preprocessor, a user manual, a large example program, and the source code of the preprocessor.

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9Programming In Prolog

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  • Title: Programming In Prolog
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  • Language: English

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10Expert Systems Programming In Turbo Prolog

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Includes bibliographical references and index

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  • Title: ➤  Expert Systems Programming In Turbo Prolog
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  • Language: English

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11Introduction To Programming In Prolog

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Includes bibliographical references and index

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  • Language: English

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12Programming In Micro-PROLOG

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Includes bibliographical references and index

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  • Title: Programming In Micro-PROLOG
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  • Language: English

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13Programming In Turbo Prolog : With An Introduction To Knowledge-based Systems

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Includes bibliographical references and index

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  • Title: ➤  Programming In Turbo Prolog : With An Introduction To Knowledge-based Systems
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  • Language: English

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14DTIC ADA195071: The Role Of PROLOG (PROgramming And LOGic) In Natural Language Processing.

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The field of Artificial Intelligence strives to produce computer programs that exhibit intelligent behavior. One of the areas of interest is the processing of natural language. This report will discuss the role of the computer language PROLOG in Natural Language Processing (NLP) both from theoretic and pragmatic viewpoints. The reasons for using PROLOG for NLP are numerous. First, linguists can write natural language grammars almost directly as PROLOG programs; this allows 'fast-prototyping' of NLP systems and facilitates analysis of NLP theories. Second, semantic representations of natural language texts that use logic formalisms are readily produced in PROLOG because of PROLOG's logical foundations. Third, PROLOG's built-in inferencing mechanisms are often sufficient for inferences on the logical forms produced by NLPs. Fourth, the logical, declarative nature of PROLOG may make it the language of choice for parallel computing systems. Finally, the fact that PROLOG has a de facto standard (Edinburgh) makes the porting of code from one computer system to another virtually trouble free. Perhaps the strongest tie one could make between NLP and PROLOG was stated by John Stuart Mill in his inaugural Address at St. Andrews: The structure of every sentence is a lesson in logic.

“DTIC ADA195071: The Role Of PROLOG (PROgramming And LOGic) In Natural Language Processing.” Metadata:

  • Title: ➤  DTIC ADA195071: The Role Of PROLOG (PROgramming And LOGic) In Natural Language Processing.
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  • Language: English

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15Micro-PROLOG : Programming In Logic

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The field of Artificial Intelligence strives to produce computer programs that exhibit intelligent behavior. One of the areas of interest is the processing of natural language. This report will discuss the role of the computer language PROLOG in Natural Language Processing (NLP) both from theoretic and pragmatic viewpoints. The reasons for using PROLOG for NLP are numerous. First, linguists can write natural language grammars almost directly as PROLOG programs; this allows 'fast-prototyping' of NLP systems and facilitates analysis of NLP theories. Second, semantic representations of natural language texts that use logic formalisms are readily produced in PROLOG because of PROLOG's logical foundations. Third, PROLOG's built-in inferencing mechanisms are often sufficient for inferences on the logical forms produced by NLPs. Fourth, the logical, declarative nature of PROLOG may make it the language of choice for parallel computing systems. Finally, the fact that PROLOG has a de facto standard (Edinburgh) makes the porting of code from one computer system to another virtually trouble free. Perhaps the strongest tie one could make between NLP and PROLOG was stated by John Stuart Mill in his inaugural Address at St. Andrews: The structure of every sentence is a lesson in logic.

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16An Introduction To Programming In Prolog

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The field of Artificial Intelligence strives to produce computer programs that exhibit intelligent behavior. One of the areas of interest is the processing of natural language. This report will discuss the role of the computer language PROLOG in Natural Language Processing (NLP) both from theoretic and pragmatic viewpoints. The reasons for using PROLOG for NLP are numerous. First, linguists can write natural language grammars almost directly as PROLOG programs; this allows 'fast-prototyping' of NLP systems and facilitates analysis of NLP theories. Second, semantic representations of natural language texts that use logic formalisms are readily produced in PROLOG because of PROLOG's logical foundations. Third, PROLOG's built-in inferencing mechanisms are often sufficient for inferences on the logical forms produced by NLPs. Fourth, the logical, declarative nature of PROLOG may make it the language of choice for parallel computing systems. Finally, the fact that PROLOG has a de facto standard (Edinburgh) makes the porting of code from one computer system to another virtually trouble free. Perhaps the strongest tie one could make between NLP and PROLOG was stated by John Stuart Mill in his inaugural Address at St. Andrews: The structure of every sentence is a lesson in logic.

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  • Title: ➤  An Introduction To Programming In Prolog
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  • Language: eng,fre

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17Programming In Prolog

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The field of Artificial Intelligence strives to produce computer programs that exhibit intelligent behavior. One of the areas of interest is the processing of natural language. This report will discuss the role of the computer language PROLOG in Natural Language Processing (NLP) both from theoretic and pragmatic viewpoints. The reasons for using PROLOG for NLP are numerous. First, linguists can write natural language grammars almost directly as PROLOG programs; this allows 'fast-prototyping' of NLP systems and facilitates analysis of NLP theories. Second, semantic representations of natural language texts that use logic formalisms are readily produced in PROLOG because of PROLOG's logical foundations. Third, PROLOG's built-in inferencing mechanisms are often sufficient for inferences on the logical forms produced by NLPs. Fourth, the logical, declarative nature of PROLOG may make it the language of choice for parallel computing systems. Finally, the fact that PROLOG has a de facto standard (Edinburgh) makes the porting of code from one computer system to another virtually trouble free. Perhaps the strongest tie one could make between NLP and PROLOG was stated by John Stuart Mill in his inaugural Address at St. Andrews: The structure of every sentence is a lesson in logic.

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  • Title: Programming In Prolog
  • Author: ➤  
  • Language: English

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18Programming In Prolog

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  • Title: Programming In Prolog
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  • Language: English

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19Theoretical Foundations Of The Organization Of Branches And Repetitions In Programs In The Logic Programming Language Prolog

Introduction. The organization of branches and repetitions in the context of logical programming is considered by an example of the Prolog language. The fundamental feature of the program in a logical programming language is the fact that a computer must solve a problem by reasoning like a human. Such a program contains a description of objects and relations between them in the language of mathematical logic. At the same time, the software implementation of branching and repetition remains a challenge in the absence of special operators for the indicated constructions in the logical language. The objectives of the study are to identify the most effective ways to solve problems using branching and repetition by means of the logic programming language Prolog, as well as to demonstrate the results obtained by examples of computational problems.  Materials and Methods. An analysis of the literature on the subject of the study was carried out. Methods of generalization and systematization of knowledge, of the program testing, and analysis of the program execution were used.  Results. Constructions of branching and repetition organization in a Prolog program are proposed. To organize repetitions, various options for completing a recursive cycle when solving problems are given.  Discussion and Conclusions. The methods of organizing branches and repetitions in the logic programming language Prolog are considered. All these methods are illustrated by examples of solving computational problems. The results obtained can be used in the further development of the recursive predicates in logical programming languages, as well as in the educational process when studying logical programming in the Prolog language. The examples of programs given in the paper provide using them as a technological basis for programming branches and repetitions in the logic programming language Prolog.

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  • Title: ➤  Theoretical Foundations Of The Organization Of Branches And Repetitions In Programs In The Logic Programming Language Prolog
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1Programming in Prolog

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Book's cover

“Programming in Prolog” Metadata:

  • Title: Programming in Prolog
  • Authors:
  • Language: English
  • Number of Pages: Median: 281
  • Publisher: ➤  Springer-Verlag - Springer-Verlag New York Inc. - Springer - Springer Berlin Heidelberg - Springer London, Limited
  • Publish Date: ➤  
  • Publish Location: ➤  Berlin - Berlin, Heidelberg - New York

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First Setence:

"Newcomers to Prolog find that the task of writing a Prolog program is not like specifying an algorithm in the same way as in a conventional programming language."

Access and General Info:

  • First Year Published: 1981
  • Is Full Text Available: Yes
  • Is The Book Public: No
  • Access Status: Borrowable

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