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[in Japanese]
Article type: Article
1986 Volume 1 Issue 2 Pages
159
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Article
1986 Volume 1 Issue 2 Pages
160
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Article
1986 Volume 1 Issue 2 Pages
161-163
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Article
1986 Volume 1 Issue 2 Pages
164-165
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Article
1986 Volume 1 Issue 2 Pages
166-173
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Article
1986 Volume 1 Issue 2 Pages
174-177
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Article
1986 Volume 1 Issue 2 Pages
178-183
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Article
1986 Volume 1 Issue 2 Pages
184
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Article
1986 Volume 1 Issue 2 Pages
185-187
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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Yoshiaki SHIRAI
Article type: Corner article
1986 Volume 1 Issue 2 Pages
188-195
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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Setsuko OTSUKI
Article type: Corner article
1986 Volume 1 Issue 2 Pages
196-202
Published: December 01, 1986
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Takao GUNJI
Article type: Corner article
1986 Volume 1 Issue 2 Pages
203-210
Published: December 01, 1986
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Kinjiro ITO, Toshihiro HARADA, Takaaki KAGAWA
Article type: Corner article
1986 Volume 1 Issue 2 Pages
211-218
Published: December 01, 1986
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Toshiyuki HAMA, Mitsuru ISHIZUKA
Article type: Technical paper
1986 Volume 1 Issue 2 Pages
219-227
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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A 3D vision system using a modeling with class concept has been constructed. The whole system is built based on the object-oriented programming paradigm,which has been very effective to implement a complex system incrementally. The models,which work as references in the understanding process,are represented as hierarchical composition of plane clusters,planes and line segments. For each hierarchical level,the models are defined from abstract description to specific one utilizing the inheritance function of the object-oriented programming. This model description allows an efficient coarse-to-fine understanding of 3D object from input image. The implemented system also has a function to supplement incomplete edge-lines caused by an illumination condition or occlusion.
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Susumu KUNIHUJI, Koji TURUMAKI, Koichi FURUKAWA
Article type: Technical paper
1986 Volume 1 Issue 2 Pages
228-237
Published: December 01, 1986
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This paper describes mechanizing abduction which means hypothesis generati,on and selection for given observations. We consider hypothesis generation and selection problem in a similar framework to a theory formation system Theorist. The experimental system is implemented in DEC-10 Prolog. It generates tentative hypotheses from a set of hypothetical formulas and selects one to form consistent explanations of given observations. The differences between our system and Theorist are follows : (1) In our system,hypotheses and given knowledge are represented in an is_a hierarchical structure and appropriate hypotheses for given observations are derived based on the structure. On the other hand,in Theorist,hypotheses are not supposed to have such a structure. (2) If multiple possible hypotheses are to be given by the system,our system asks new observations to the user in order to select one of such possible hypotheses. The important thing is that meta-programming methodology enables the user easily to define the criteria for hypothesis generation and selection mechanism. (3) Our system can make use of negative knowledge (constraints) in the same way of Theorist-S. Our system has a clearer semantics and an easier implementation way than Theorist-S.
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Hiroyuki MUSHA
Article type: Technical paper
1986 Volume 1 Issue 2 Pages
238-245
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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We focus our attention on syntax of natural languages,particularly English,and predictions or expectations that can be made solely with syntactic information during the sentence recognition process are analyzed in detail. We also present machine executable mechanisms that enable proper handling of analyzed aspects and a description method of the mechanisms as grammar rules. We reinforce Kuno's predictive analyzer by introducing five types of predictions. For each type of prediction,we discuss and present its necessity,its description method,and recognition mechanism. We make use of three kinds of stacks whose behavior is specified by grammar rules in an extended version of Greibach normal form. The extended mechanism provides us with a simple yet still powerfull means for recognition of sentence structures. The recognition method can be seen as a deterministic one if we permit looking some words ahead. We also investigate other factors that affect the predictive recongnition process,i.e.,preferences among syntactic ambiguities and necessary amount of look ahead. These factors as well as the proposed handling mechanisms of predictions are tested by analyzing four kinds of articles. In our experiment,about seventy percent of sentences are recognized and looking two words ahead seems to be the critical length for the predictive recognition.
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Hideaki ITO, Makoto TAKIZAWA, Haruki UENO
Article type: Research note
1986 Volume 1 Issue 2 Pages
246-249
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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This paper describes a rogical aspect of a frame-based knowledge representation model under development. A frame model which is provided by a frame-based system seems one of data models. The model is defined by means of the data structure and operations. We try to define the structure of the model to use for management of data. Although we made clear the operations,we did not present them in this paper. This paper presents a logical structure of the model. For this purpose,definitions on the data structure are given,and logical aspect is described by axioms in terms of a first-order logic,respectively. The model which is proposed by us is sound and complete. However,the model is more restricted than existing frame models. This research is the first step toward giving a logical framework for building of a frame-based system.
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Etsuo ITOH, Hiroshi NAKAGAWA
Article type: Research note
1986 Volume 1 Issue 2 Pages
250-253
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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There is an examination of a natural language processing as a part of artificial intelligence,and we have got a lot of parsers as the result. We took up parsers of the context free language in them. And we examined what relation they had at view of the program transformation. As the result of our works,we could lead to more efficiency parsers from a fundamental one. This fact suggested us the possibility of realization of human's heuristic knowledge on computers,and fusion of the natural language processing and the program transformation.
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Yasuhiko KITAMURA, Htoshi OGAWA, Shin-ichi TAMURA, Tadahiro KITAHASHI
Article type: Research note
1986 Volume 1 Issue 2 Pages
254-258
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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Current expert systems are applied to limited domains with small quantity of knowledge for problemsolving. In the future, we will face the problems that consist of many subproblems and require much knowledge to solve. Distributed problem solving systems,consist of many cooperative problem solvers (we call 'agents' in this paper),are effective tools for such problems. In this paper, we define problem-solving as a search from initial state to goal state, and mention about a distributed search mechanism. Since the control of the system is distributed,there are some problems for coherent search. (1) It is tend to make a useless search caused by message delay. (2) It is hard for each agent to check its solution with the best one. (3) It is hard to cut search-path globally. To solve these problems,we suggest a distributed search mechanism using 'priority token passing protocol'. By this protoco,(1) it is able to request an agent to search according to the importance,using' request search' message. (2) It is easy to check a solution with the best one using 'confirm end' and 'demand solution' messages. (3) It is able to cut search-path globally using 'cut path' message.
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[in Japanese]
Article type: Other
1986 Volume 1 Issue 2 Pages
259
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Other
1986 Volume 1 Issue 2 Pages
260
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese], [in Japanese]
Article type: Corner article
1986 Volume 1 Issue 2 Pages
261-263
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Corner article
1986 Volume 1 Issue 2 Pages
263-265
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Corner article
1986 Volume 1 Issue 2 Pages
266
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Corner article
1986 Volume 1 Issue 2 Pages
267-268
Published: December 01, 1986
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[in Japanese]
Article type: Corner article
1986 Volume 1 Issue 2 Pages
269-270
Published: December 01, 1986
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Article type: Other
1986 Volume 1 Issue 2 Pages
271
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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Article type: Activity report
1986 Volume 1 Issue 2 Pages
272-273
Published: December 01, 1986
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Article type: Activity report
1986 Volume 1 Issue 2 Pages
274
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Article
1986 Volume 1 Issue 2 Pages
160_2
Published: December 01, 1986
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Corner article
1986 Volume 1 Issue 2 Pages
266_2
Published: December 01, 1986
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Article type: Activity report
1986 Volume 1 Issue 2 Pages
b001-b002
Published: December 01, 1986
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Article type: Cover page
1986 Volume 1 Issue 2 Pages
c002
Published: December 01, 1986
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Article type: Cover page
1986 Volume 1 Issue 2 Pages
c002_2
Published: December 01, 1986
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Article type: Table of contents
1986 Volume 1 Issue 2 Pages
i002
Published: December 01, 1986
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Article type: Activity report
1986 Volume 1 Issue 2 Pages
o001
Published: December 01, 1986
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