XSB: Extending Prolog with Tabled Logic Programming
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Intercepting Functions for Memoization Arjun Suresh
Intercepting Functions for Memoization Arjun Suresh To cite this version: Arjun Suresh. Intercepting Functions for Memoization. Other [cs.OH]. Université de Rennes 1, 2016. English. tel-01410539v1 HAL Id: tel-01410539 https://hal.inria.fr/tel-01410539v1 Submitted on 6 Dec 2016 (v1), last revised 11 May 2017 (v2) HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. ANNEE´ 2016 THESE` / UNIVERSITE´ DE RENNES 1 sous le sceau de l’Universite´ Bretagne Loire En Cotutelle Internationale avec pour le grade de DOCTEUR DE L’UNIVERSITE´ DE RENNES 1 Mention : Informatique Ecole´ doctorale Matisse present´ ee´ par Arjun SURESH prepar´ ee´ a` l’unite´ de recherche INRIA Institut National de Recherche en Informatique et Automatique Universite´ de Rennes 1 These` soutenue a` Rennes Intercepting le 10 Mai, 2016 devant le jury compose´ de : Functions Fabrice RASTELLO Charge´ de recherche Inria / Rapporteur Jean-Michel MULLER for Directeur de recherche CNRS / Rapporteur Sandrine BLAZY Memoization Professeur a` l’Universite´ de Rennes 1 / Examinateur Vincent LOECHNER Maˆıtre de conferences,´ Universite´ Louis Pasteur, Stras- bourg / Examinateur Erven ROHOU Directeur de recherche INRIA / Directeur de these` Andre´ SEZNEC Directeur de recherche INRIA / Co-directeur de these` If you save now you might benefit later. -
Intercepting Functions for Memoization Arjun Suresh
Intercepting functions for memoization Arjun Suresh To cite this version: Arjun Suresh. Intercepting functions for memoization. Programming Languages [cs.PL]. Université Rennes 1, 2016. English. NNT : 2016REN1S106. tel-01410539v2 HAL Id: tel-01410539 https://tel.archives-ouvertes.fr/tel-01410539v2 Submitted on 11 May 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. ANNEE´ 2016 THESE` / UNIVERSITE´ DE RENNES 1 sous le sceau de l’Universite´ Bretagne Loire En Cotutelle Internationale avec pour le grade de DOCTEUR DE L’UNIVERSITE´ DE RENNES 1 Mention : Informatique Ecole´ doctorale Matisse present´ ee´ par Arjun SURESH prepar´ ee´ a` l’unite´ de recherche INRIA Institut National de Recherche en Informatique et Automatique Universite´ de Rennes 1 These` soutenue a` Rennes Intercepting le 10 Mai, 2016 devant le jury compose´ de : Functions Fabrice RASTELLO Charge´ de recherche Inria / Rapporteur Jean-Michel MULLER for Directeur de recherche CNRS / Rapporteur Sandrine BLAZY Memoization Professeur a` l’Universite´ de Rennes 1 / Examinateur Vincent LOECHNER Maˆıtre de conferences,´ Universite´ Louis Pasteur, Stras- bourg / Examinateur Erven ROHOU Directeur de recherche INRIA / Directeur de these` Andre´ SEZNEC Directeur de recherche INRIA / Co-directeur de these` If you save now you might benefit later. -
A Simple Interface for Non Standard Knowledge Systems (SINKS)
A Simple Interface for Non Standard Knowledge Systems (SINKS) A Writing Project Presented to The Faculty of the Department of Computer Science San Jose State University In Partial Fulfillment of the Requirement for the Degree Master of Science By Harini Rao December 2003 1 © December 2003 Harini Rao [email protected] ALL RIGHTS RESERVED 2 APPROVED FOR THE DEPARTMENT OF COMPUTER SCIENCE Dr. Christopher Pollett Dr. Archana Sathaye Dr. Suneuy Kim APPROVED FOR THE UNIVERSITY 3 Abstract Deductive database systems combine a declarative style for formulating queries and constraints with efficient and reliable database technology for mass-memory data storage. They have the ability to use a logic programming style for expressing deductions concerning the contents of a database. Currently, most of the deductive-style databases such as NAIL!, LDL, CORAL, XSB, etc. usually act as front-ends to a more traditional relational database. It might make it easier to deploy a deductive database system as a back end for a relational database since, then only, the designer of the database needs to understand the non-standard knowledge system and the application programmers can use the SQL they know and love. The purpose of this project is to develop an interface system whereby non-standard knowledge systems such as XSB can make their resources available as a backend to a more traditional relational database, Oracle. 4 Table of contents Page 1. Introduction …………………………………………………………....6 2. Deductive Databases …………………………………………………..8 3. XSB ……………………………………………………………………26 4. Oracle–XSB Interface …………………………………………………29 5. Design ………………………………………………………….………31 6. Implementation ………………………………………………………...36 7. Applications …………………………………………………….……..56 8. Future Enhancements …………………………………………………58 9. Conclusion …………………………………………………………….60 Bibliography ……………………………………………………………62 5 1.Introduction The relational data model is the most well-known and widely used data model. -
Comparative Programming Languages CM20253
We have briefly covered many aspects of language design And there are many more factors we could talk about in making choices of language The End There are many languages out there, both general purpose and specialist And there are many more factors we could talk about in making choices of language The End There are many languages out there, both general purpose and specialist We have briefly covered many aspects of language design The End There are many languages out there, both general purpose and specialist We have briefly covered many aspects of language design And there are many more factors we could talk about in making choices of language Often a single project can use several languages, each suited to its part of the project And then the interopability of languages becomes important For example, can you easily join together code written in Java and C? The End Or languages And then the interopability of languages becomes important For example, can you easily join together code written in Java and C? The End Or languages Often a single project can use several languages, each suited to its part of the project For example, can you easily join together code written in Java and C? The End Or languages Often a single project can use several languages, each suited to its part of the project And then the interopability of languages becomes important The End Or languages Often a single project can use several languages, each suited to its part of the project And then the interopability of languages becomes important For example, can you easily -
The XSB System Version 3.7 Volume 2: Interfaces and Packages
The XSB System Version 3.7 Volume 2: Interfaces and Packages July 6, 2016 Credits Packages and interfaces have become an increasingly important part of XSB. They are an important way to incorporate code from other systems into XSB, and to interface XSB to databases and other stores. Most of the packages had significant contributions by people other than the core XSB developers, for which we are grateful. As a result most chapters have information about its authors. Contents 1 XSB-ODBC Interface1 1.1 Introduction....................................1 1.2 Using the Interface................................2 1.2.1 Connecting to and Disconnecting from Data Sources.........2 1.2.2 Accessing Tables in Data Sources Using SQL..............3 1.2.3 Cursor Management...........................5 1.2.4 Accessing Tables in Data Sources through the Relation Level.....6 1.2.5 Using the Relation Level Interface....................6 1.2.6 Handling NULL values..........................8 1.2.7 The View Level Interface......................... 10 1.2.8 Insertions and Deletions of Rows through the Relational Level.... 13 1.2.9 Access to Data Dictionaries....................... 14 1.2.10 Other Database Operations....................... 15 1.2.11 Transaction Management......................... 15 1.2.12 Interface Flags.............................. 16 1.2.13 Datalog.................................. 17 1.3 Error messages.................................. 17 1.4 Notes on specific ODBC drivers......................... 18 2 The New XSB-Database Interface 19 2.1 Introduction.................................... 19 2.2 Configuring the Interface............................. 19 2.3 Using the Interface................................ 22 i CONTENTS ii 2.3.1 Connecting to and Disconnecting from Databases........... 22 2.3.2 Querying Databases........................... 24 2.4 Error Handling................................. -
The XSB System Version 2.4 Volume 1: Programmer's Manual
The XSB System Version 2.4 Volume 1: Programmer’s Manual Konstantinos Sagonas Terrance Swift David S. Warren Juliana Freire Prasad Rao Baoqiu Cui Ernie Johnson with contributions from Steve Dawson Michael Kifer July 13, 2001 Credits Day-to-day care and feeding of XSB including bug fixes, ports, and configuration man- agement has been done by Kostis Sagonas, David Warren, Terrance Swift, Prasad Rao, Steve Dawson, Juliana Freire, Ernie Johnson, Baoqiu Cui, Michael Kifer, and Bart Demoen. In Version 2.4, the core engine development of the SLG-WAM has been mainly imple- mented by Terrance Swift, Kostis Sagonas, Prasad Rao, and Juliana Freire. The break- down, roughly, was that Terrance Swift wrote the initial tabling engine and builtins. Prasad Rao reimplemented the engine’s tabling subsystem to use tries for variant-based table access while Kostis Sagonas implemented most of tabled negation. Juliana Freire revised the table scheduling mechanism starting from Version 1.5.0 to create a more efficient engine, and implemented the engine for local evaluation. Starting from XSB Version 2.0, XSB includes another tabling engine, CHAT, which was designed and developed by Kostis Sagonas and Bart Demoen. CHAT supports heap garbage collection (both based on a mark&slide and on a mark© algorithm) which was developed and implemented by Bart Demoen and Kostis Sagonas. Memory expansion code for WAM stacks was written by Ernie Johnson and Bart De- moen, while memory management code for CHAT areas was written by Bart Demoen and Kostis Sagonas. Rui Marques improved the trailing of the SLG-WAM and rewrote much of the engine to make it compliant with 64-bit architectures. -
Programming in Tabled Prolog (Very) DRAFT 1
Programming in Tabled Prolog (very) DRAFT 1 David S. Warren Department of Computer Science SUNY @ Stony Brook Stony Brook, NY 11794-4400, U.S.A. February 28, 2020 1This is a very early draft made available privately for those who might find it of interest. I reserve all rights to this work. -dsw Contents 1 Background and Motivation 1 2 Introduction to Prolog 6 2.1 Prolog as a Procedural Programming Language . ........... 6 2.1.1 Assign-onceVariables . ..... 7 2.1.2 Nondeterminism ................................ 11 2.1.3 ExecutingProgramsinXSB. 13 2.1.4 The Scheduling of Machine Execution in Prolog . .......... 18 2.2 GrammarsinProlog ................................ 21 2.3 PrologasaDatabaseQueryLangauge . ........ 26 2.4 DeductiveDatabases .............................. ...... 27 2.5 Summary ......................................... 30 2.6 Exercises ....................................... 30 2.7 ExerciseDiscussion.............................. ....... 32 3 Introduction to First-Order Logic 34 3.1 PropositionalLogic.............................. ....... 36 3.1.1 Syntax........................................ 36 3.1.2 Semantics..................................... 36 i CONTENTS ii 3.1.3 Deduction..................................... 38 3.1.4 HornClauses ................................... 41 3.2 FirstOrderLogic(FOL). .. .. .. .. .. .. .. .. ...... 44 3.2.1 Syntax........................................ 44 3.2.2 Semantics..................................... 46 3.2.3 Deduction..................................... 49 3.3 Exercises ...................................... -
07. 1957-2007: 50 Years of Higher Order Programming Languages
JIOS, V OL . 33, N O. 1 (2009) SUBMITTED 10/08; A CCEPTED 02/09 UDC 004.432 Review Paper 1957-2007: 50 Years of Higher Order Programming Languages Alen Lovren ciˇ c´ [email protected] University of Zagreb Faculty of Organization and Informatics Mario Konecki [email protected] University of Zagreb Faculty of Organization and Informatics Tihomir Orehova ckiˇ [email protected] University of Zagreb Faculty of Organization and Informatics Abstract Fifty years ago one of the greatest breakthroughs in computer programming and in the history of computers happened – the appearance of FORTRAN, the first higher-order programming lan- guage. From that time until now hundreds of programming languages were invented, different programming paradigms were defined, all with the main goal to make computer programming easier and closer to as many people as possible. Many battles were fought among scientists as well as among developers around concepts of programming, programming languages and paradigms. It can be said that programming paradigms and programming languages were very often a trigger for many changes and improvements in computer science as well as in computer industry. Definitely, computer programming is one of the cornerstones of computer science. Today there are many tools that give a help in the process of programming, but there is still a programming tasks that can be solved only manually. Therefore, programming is still one of the most creative parts of interaction with computers. Programmers should chose programming language in accordance to task they have to solve, but very often, they chose it in accordance to their personal preferences, their beliefs and many other subjective reasons. -
FLORA-2: Programming with Logic and Objects
Programming with Logic and Objects Michael Kifer Stony Brook University Outline • Introduction: About FLORA-2 • F-logic • HiLog • Example of an application of FLORA-2 • Transaction Logic (if time permits) Introduction What’s Wrong with Classical Programming with Logic? • Precisely that it is based on classical logic: – Essentially flat data structures (relations with structs) – Awkward meta-programming – Ill-suited for modeling side effects (state changes, I/O) What is FLORA-2? • F-Logic tRAnslator (the next generation) – FLORA-2 programs are translated into XSB & executed by the XSB tabling inference engine • Language for knowledge-based applications – Declarative – much more so than Prolog – Object-oriented (frame based) • Overcomes most of the usability problems with Prolog • Practical & usable programming environment based on – F-logic (Frame Logic) º objects + logic (+ extensions) – HiLog – high degree of truly declarative meta-programming – Transaction Logic – database updates + logic • Builds on earlier experience with implementations of F-logic: FLORID, FLIP, FLORA-1 (which don’t support HiLog & Transaction Logic) • http://flora.sourceforge.net Applications of FLORA-2 • Ontology management (Semantic Web) • Information integration • Software engineering • Agents • Anything that requires manipulation of complex structured (especially semi- structured) data Other F-logic Based Systems • No-name system (U. Melbourne – M. Lawley) – early 90’s; first Prolog-based implementation • FLORID (U. Freiburg – Lausen et al.) – mid-late 90’s; -
Beyond the WAM: Topics in Contemporary Logic Programming Implementation
Beyond the WAM: Topics in Contemporary Logic Programming Implementation Terrance Swift May 4, 2012 Terrance Swift Topics in Logic Programming Implementation Beyond the WAM: Topics in Contemporary Logic Programming Implementation Topic 1: Overview and Miscellaneous Topics Terrance Swift Topics in Logic Programming Implementation After the WAM There are a lot of Prologs around: Sicstus, Quintus, YAP, Chao, SWI, GNU Prolog, B-Prolog, Mercury, HAL, ALS, XSB and many others Nearly every Prolog implements the WAM The WAM has been known for over 20 years ... so why are there a lot of Prologs? Terrance Swift Topics in Logic Programming Implementation After the WAM There is a lot more to Prolog than just the WAM Builtins for I/O, term manipulation, DCGs etc. Module systems Debuggers Dynamic code Libraries, interfaces, and packages: e.g. Interprolog [Cal04], lpdoc (Ciao [HtCG]), pl-doc (SWI) jasper, database interfaces, and many libraries, interfaces, etc. APIs for embeddability Memory management (garbage collectors) Arbitrary arithmetic { rational numbers Unicode and other extensions to readers Still, the main ISO standard has been around for 10 years [ISO95] Terrance Swift Topics in Logic Programming Implementation After the WAM Much of what keeps many Prologs around is research: Speed optimizations faster WAM execution (e.g. YAP [SC99, dSC06]) native-code compilation [Tay01, van92] (e.g. GNU Prolog [DP01b]) global analysis (e.g Ciao [MCH04], XSB [DRSS96]), indexing (e.g. YAP [], XSB [RRS+99]) Annotations and analysis for correctness Constraint libraries: CLP(R), CLP(Q), CLP(FD), CLP(BN) [CC03], Various libraries based on Constraint Handling Rules. Parallelism, multi-threading, and \cluster" Prologs Changes to evaluation methods (e.g. -
The Logtalk Handbook Release V3.22.0
The Logtalk Handbook Release v3.22.0 Paulo Moura Dec 18, 2018 CONTENTS: 1 User Manual 1 1.1 Declarative object-oriented programming.............................1 1.2 Main features.............................................2 1.2.1 Integration of logic and object-oriented programming..................2 1.2.2 Integration of event-driven and object-oriented programming.............2 1.2.3 Support for component-based programming.......................2 1.2.4 Support for both prototype and class-based systems...................3 1.2.5 Support for multiple object hierarchies..........................3 1.2.6 Separation between interface and implementation....................3 1.2.7 Private, protected and public inheritance.........................3 1.2.8 Private, protected and public object predicates......................3 1.2.9 Parametric objects.....................................3 1.2.10 High level multi-threading programming support....................4 1.2.11 Smooth learning curve...................................4 1.2.12 Compatibility with most Prolog systems and the ISO standard.............4 1.2.13 Performance.........................................4 1.2.14 Logtalk scope........................................4 1.3 Nomenclature............................................5 1.3.1 C++ nomenclature.....................................5 1.3.2 Java nomenclature.....................................6 1.4 Messages...............................................7 1.4.1 Operators used in message sending............................7 1.4.2 Sending -
The XSB System Version 3.3.X Volume 1: Programmer's Manual
The XSB System Version 3.3.x Volume 1: Programmer’s Manual xsb Terrance Swift David S. Warren Konstantinos Sagonas Juliana Freire Prasad Rao Baoqiu Cui Ernie Johnson Luis de Castro Rui F. Marques Diptikalyan Saha Steve Dawson Michael Kifer July 4, 2013 Credits Day-to-day care and feeding of XSB including bug fixes, ports, and configuration management is currently done by David Warren and Terrance Swift with the help of Michael Kifer. In the past Kostis Sagonas, Prasad Rao, Steve Dawson, Juliana Freire, Ernie Johnson, Baoqiu Cui, Bart Demoen and Luis F. Castro have provided tremendous help. In Version 3.3, the core engine development of the SLG-WAM has been mainly implemented by Terrance Swift, Kostis Sagonas, Prasad Rao, Juliana Freire, Ernie Johnson, Luis Castro and Rui Marques. The breakdown, very roughly, was that Terrance Swift wrote the initial tabling engine, the SLG-WAM, and its built-ins; and leads the current development of the tabling subsystem. Prasad Rao reimplemented the engine’s tabling subsystem to use tries for variant-based table access and Ernie Johnson extended and refactored these routines in a num- ber of ways, including adding call subsumption. Kostis Sagonas implemented most of tabled negation. Juliana Freire revised the table scheduling mechanism starting from Version 1.5.0 to create the batched and local scheduling that is cur- rently used. Baoqiu Cui revised the data structures used to maintain delay lists, and added attributed variables to the engine. Luis Castro rewrote the emulator to use jump tables and wrote a heap-garbage collector for the SLG-WAM.