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Titolo:
A multi-agent tuple-space based problem solving framework
Autore:
Polat, F; Alhajj, R;
Indirizzi:
Middle E Tech Univ, Dept Comp Engn, TR-06531 Ankara, Turkey Middle E Tech Univ Ankara Turkey TR-06531 Engn, TR-06531 Ankara, Turkey Sultan Qaboos Univ, Dept Comp Sci, Muscat, Oman Sultan Qaboos Univ Muscat Oman Qaboos Univ, Dept Comp Sci, Muscat, Oman
Titolo Testata:
JOURNAL OF SYSTEMS AND SOFTWARE
fascicolo: 1, volume: 47, anno: 1999,
pagine: 11 - 17
SICI:
0164-1212(19990501)47:1<11:AMTBPS>2.0.ZU;2-Q
Fonte:
ISI
Lingua:
ENG
Soggetto:
SYSTEMS SEMANTICS; KNOWLEDGE;
Keywords:
tuple space; multi-agent systems; distributed systems;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
--discip_EC--
Citazioni:
22
Recensione:
Indirizzi per estratti:
Indirizzo: Polat, F Middle E Tech Univ, Dept Comp Engn, TR-06531 Ankara, Turkey Middle E Tech Univ Ankara Turkey TR-06531 -06531 Ankara, Turkey
Citazione:
F. Polat e R. Alhajj, "A multi-agent tuple-space based problem solving framework", J SYST SOFT, 47(1), 1999, pp. 11-17

Abstract

Many real-life problems are inherently distributed. The applications may be spatially, distributed, such as interpreting and integrating data from spatially distributed sources. It is also possible to have the applications being functionally distributed, such as bringing together a number of specialized medical-diagnosis systems on a particularly difficult case. In addition, the applications might be temporally, distributed, as in a factory where the production line consists of several work areas, each having an expertsystem responsible for scheduling orders. Research in cooperating intelligent systems has led to the development of many computational models (Huhns and Singh, 1992; Hewitt, 1991; Gasser, 1991; Polat et al., 1993; Polat and Guvenir, 1993, 1994; Shoham, 1993 Sycara, 1989) for coordinating several intelligent systems for solving complex problems involving diverse knowledge and activity. In this paper, a system for coordinating problem solving activities of multiple intelligent agents using the tuple space model of computation is described. The tuple space based problem solving framework is implemented on an Intel Hypercube iPSC/2 allowing multiple rule-based systems performing their dedicated tasks in parallel. The tasks are interrelated, inother words, there exists a partial order among the tasks which have to beperformed. (C) 1999 Elsevier Science Inc. All rights reserved.

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Documento generato il 24/09/20 alle ore 05:16:44