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  4. Evaluation of Allen's qualitative temporal inference algorithm for later hardware implementation
 
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Evaluation of Allen's qualitative temporal inference algorithm for later hardware implementation

Citation Link: https://doi.org/10.15480/882.378
Publikationstyp
Journal Article
Date Issued
1990
Sprache
English
Author(s)
Jakob, Jörg-Ingo  
Herausgeber*innen
Philips GmbH Forschungslaboratorien, Forschungsabteilung Technische Systeme Hamburg  
Institut
Automatisierungstechnik E-1  
TORE-DOI
10.15480/882.378
TORE-URI
http://tubdok.tub.tuhh.de/handle/11420/380
Citation
ESPRIT 2434: Knowledge-based realtime CIM controllers for distributed factory supervision : [project duration: 1.1.1989 - 31.12.1991], 12 months report: [July - December 1989], Suppl. B, Task 2: Applications: the distributed CIM controller, Hamburg 1990, S. 165-71
Prior to ESPRIT project 2434, a software module based on Allen's temporal logic was developed for a flow line scheduling expert system at Philips Hamburg. Investigations within ESPRIT 2434 showed the slowness of this software module when applied to larger scheduling tasks (ten or more orders). We expect a hardware solution to yield a speedup of another order of magnitude for temporal inference when applied to the domain of order scheduling. Two questions are answered: (1) what is the best software solution for temporal inference?; (2) can we identify hardware components starting from the best (or any other reasonable) software solution?
DDC Class
600:Technology (Applied sciences)
Lizenz
http://doku.b.tu-harburg.de/doku/lic_ohne_pod.php
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