Formal apparatus for knowledge representation based on post production systems

1992 ◽  
Vol 28 (1) ◽  
pp. 18-25
Author(s):  
O. V. Tarasov
1992 ◽  
Vol 23 (5) ◽  
pp. 468-473
Author(s):  
Alan H. Schoenfeld

Ohlsson. Ernst, and Rees (this issue) have produced a wonderfully lucid description of their paradigmatic approach to issues of cognition and instruction. They illustrate their approach by presenting the details of a well worked out computational model. Then, on the basis of simulation runs on the model, they derive some implications for prac tice. The authors have also laid down some rather stringent constraints for commentary. Do not critique our paradigms, they say, unless you can offer a replacement that does better. Do not critique the choice of knowledge representation (production systems) or modeling assumptions (e.g., limitations on working memory) unless you have compelling data to offer in service of your argument and in contradiction of our assumptions. Argument about details is useful, they say, but that won't change the conclusions we draw. So what's a reviewer to do?


2019 ◽  
Vol 15 (2) ◽  
pp. 266-274
Author(s):  
Ganjar Wiryati

The purpose of this study was to determine the types of processed fisheries produced in the southern coast of Garut Regency and find out the fishery processing agribusiness system on the southern coast of Garut Regency. The method used in the study is descriptive method with qualitative and quantitative approaches. Sampling by purposive sampling. Sampling was conducted on 30 fish processing business people in six subdistricts (Pameungpeuk, Mekarsari, Cikelet, Caringin, Pakenjeng, Cibalong). Data collection techniques by means of interviews using questionnaire instruments containing a list of questions. In data processing, the determination of values (scores) for each question in each subsystem (subsystem of procurement and distribution of fisheries production facilities, production business subsystems, post production subsystems,marketing subsystems, supporting service subsystems). Research results obtained information on the types of processed that are produced include, salted fish, pindang fish, shredded fish, fish meatballs, crackers, nuget, agar-agar. Next in the review of the five business subsystems obtained values (Scores) Subsystems for procurement and distribution of facilities (7.7), production business subsystems, (10.2), post-production systems (7), marketing subsystems (9.3), sub supporting service system (9.6) from the results of the assessment obtained a portrait of fishery processing agribusiness in the South Coast of Garut Regency. The results of this study can be used as a reference to develop processing activities of fishery results on the southern coast of Garut Regency.


SMPTE Journal ◽  
1979 ◽  
Vol 88 (7) ◽  
pp. 486-490 ◽  
Author(s):  
H. Fix ◽  
W. Habermann ◽  
K.-H. Trissl

Author(s):  
Jin Yu ◽  
F. W. Liou ◽  
Zhongfang Tong ◽  
Yueming Sun

Abstract Knowledge extraction and representation are the two most important problems to build up expert systems. This paper describes an example of a knowledge based prototype Hi-KJBIPP, which is designed in a hierarchical architecture to express different levels of machining knowledge for complex box-type workpieces. Production systems and frames are both used as knowledge representation methods in Hi-KBIPP. A production rule system is used to represent top levels of knowledge, in which the control strategies that consist of priority classification, priority execution, and context restriction are designed to decide the first rule to be executed when several rules are of the same qualification. Frames are used to represent the information of machining procedures. A particular frame system is used in Hi-KBIPP which provide multi-dimension frame, similarity network, and associate-network to handle and compile knowledge.


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