NDLI: Abductive inference methods in problems of job planning in complex objects

Content Provider	Springer Nature Link
Author	Vagin, V. N. Khotimchuk, K. Ju.
Copyright Year	2010
Abstract	Abductive inference methods in intelligent systems are considered. A description of assumption-based truth maintenance systems and basic concepts for dealing with assumption-based truth maintenance systems are presented. The following abductive inference algorithms are developed: Assumption-based Truth Maintenance System-based Abduction Algorithm and Implicate Abductive Algorithm using of prime implicates. These algorithms are compared. The results of experiments held for an example of designing schedules for energy storage plants have confirmed the efficiency of the Assumption-based Truth Maintenance System-based Abduction Algorithm.
Starting Page	773
Ending Page	790
Page Count	18
File Format	PDF
ISSN	10642307
Journal	Journal of Computer and Systems Sciences International
Volume Number	49
Issue Number	5
e-ISSN	15556530
Language	English
Publisher	SP MAIK Nauka/Interperiodica
Publisher Date	2010-10-21
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Control Robotics Mechatronics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Theoretical Computer Science Computer Networks and Communications Control and Systems Engineering Information Systems Computer Vision and Pattern Recognition Software

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Abductive inference methods in problems of job planning in complex objects