Please use this identifier to cite or link to this item:
doi:10.22028/D291-24873
Title: | Object-oriented concurrent constraint programming in Oz |
Author(s): | Smolka, Gert Henz, Martin Würtz, Jörg |
Language: | English |
Year of Publication: | 1993 |
OPUS Source: | Kaiserslautern ; Saarbrücken : DFKI, 1993 |
SWD key words: | Künstliche Intelligenz Constraint <Künstliche Intelligenz> Constraint-Programmierung Datenstruktur Programmierlogik |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | Oz is an experimental higher-order concurrent constraint programming system under development at DFKI. It combines ideas from logic and concurrent programming in a simple yet expressive language. From logic programming Oz inherits logic variables and logic data structures, which provide for a programming style where partial information about the values of variables is imposed concurrently and incrementally. A novel feature of Oz is that it accommodates higher-order programming without sacrificing that denotation and equality of variables are captured by first-order logic. Another new feature of Oz is constraint communication, a new form of asynchronous communication exploiting logic variables. Constraint communication avoids the problems of stream communication, the conventional communication mechanism employed in concurrent logic programming. Constraint communication can be seen as providing a minimal form of state fully compatible with logic data structures. Based on constraint communication and higher-order programming, Oz readily supports a variety of object-oriented programming styles including multiple inheritance. |
Link to this record: | urn:nbn:de:bsz:291-scidok-36260 hdl:20.500.11880/24929 http://dx.doi.org/10.22028/D291-24873 |
Series name: | Research report / Deutsches Forschungszentrum für Künstliche Intelligenz [ISSN 0946-008x] |
Series volume: | 93-16 |
Date of registration: | 22-Jun-2011 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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RR_93_16.pdf | 9,88 MB | Adobe PDF | View/Open |
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