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[in Japanese]
Article type: Preface
1988 Volume 3 Issue 4 Pages
397
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Yutaka SAEKI
Article type: Corner article
1988 Volume 3 Issue 4 Pages
398-410
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Cover article
1988 Volume 3 Issue 4 Pages
411-413
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Seiichi NAKAGAWA
Article type: Special issue
1988 Volume 3 Issue 4 Pages
414-423
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Masaki KOHDA
Article type: Special issue
1988 Volume 3 Issue 4 Pages
424-430
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Yoshinori SAGISAKA
Article type: Special issue
1988 Volume 3 Issue 4 Pages
431-437
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Riichiro MIZOGUCHI, Masahiro HORI, Osamu KAKUSHO
Article type: Special issue
1988 Volume 3 Issue 4 Pages
438-444
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Hitoshi IIDA
Article type: Special issue
1988 Volume 3 Issue 4 Pages
445-452
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Hideki KAWAHARA
Article type: Special issue
1988 Volume 3 Issue 4 Pages
453-460
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Yuichi NAKAMURA, Makoto NAGAO
Article type: Technical paper
1988 Volume 3 Issue 4 Pages
461-473
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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This paper describes a new method for the recognition of partially occluded 2-D objects. This method considers an object as a set of straight lines combined each other locally as typical features of an object. Possible candidate models are estimated from these features, and detailed structural matching is performed between these models and the features obtained from a picture. Even if the whole structure is not obtained due to a partial occlusion, the system can infer an object if some unique features of the objects are obtained. Lines are matched with a model minutely when model candidates are limited to one or a few.
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Hitoshi IBA, Hitoshi MATSUBARA, Hirochika INOUE
Article type: Technical paper
1988 Volume 3 Issue 4 Pages
474-485
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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This paper presents a scheme of environment understanding for intelligent robots. The purpose of this scheme is to enable intelligent robots to make appropriate plans for their actions in unknown environments. To realize this scheme, we extend the environment models by introducing concepts of "visibility" and" view". By "visibility", we mean scene image available for intelligent robots as input or predicted by model-based vision technique. The concept "view" is key concern of this paper. "View" is positive action toward environment by robots in order to make the incomplete model more correct. The overall model-management is based on non-monotonic logic inference system, which maintains incomplete data and carrys out necessary model-modification. The paper describes advantages of the establishment of this scheme, which frees robot systems from too much dependence on image understanding.
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Masumi ISHIKAWA, Kazuhisa NIKI, Hideyuki NAKASHIMA, Motoi SUWA
Article type: Technical paper
1988 Volume 3 Issue 4 Pages
486-493
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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It is well recognized that the present computer interfaces are not flexible due to the large gaps between humans and computers. The authors believe that having models of human thought processes on computers helps greatly lessen these gaps and contributes much to the realization of flexible interfaces. The present paper presents a new approach for modelling human thought processes in categorical syllogisms. A first characteristic of this new modelling is that it aims at modelling thought processes of an individual user instead of the average user. This is necessitated by the fact that behaviors of users greatly differ from one to another. A second characteristic is that it aims at real time modelling based on the interaction between a user and a computer. These two characteristics are vitally important especially when the resulting models are used in computer interfaces. The basic approach of this modelling is that the relationship between user's behavior and the candidates of behavior patterns in the form of rules is analyzed based on the interaction record. This analysis clarifies the behavior rules which the user seems to follow. This modelling, however, has the following difficulties. Firstly, there exist, in general, more than one behavior rules which match user's behavior. Secondly, often multiple behavior rules are simultaneously existing. Thirdly, data gathered from users are often contaminated by noise due to various reasons. The authors propose an algorithm which can locate the true cause of errors even in these difficult situations. We have selected categorical syllogisms as an example domain, and have developed an experimental system for modelling human thought processes. Interacting with a user by giving questions and receiving answers, this system models the behaviors of users. Because the system interacts with users, it is required that the number of problems be as small as possible. An efficient algorithm for selecting doubtful error causes is also proposed. Experimental results using 9 subjects demonstrate that the experimental system with the algorithm for locating the true cause of errors works well. This system also contribute to finding new behavior patterns of users in categorical syllogisms and to clarifying the existence of large differences of behavior patterns among users.
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Makoto NOMURA, Yoshio TSUKIO
Article type: Technical paper
1988 Volume 3 Issue 4 Pages
494-502
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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The major Point of the paper is understanding an 'esquisse', or a hand-drawing roughly sketched in the process of architectural design. A long time experience and a lot of knowledge is need to complete final works from an 'esquisse', and without understanding architectural drawings it can't be done. In this paper, (1) Architectural drawings are divided into three hierarchies, pixel, element, and room by its nature. (2) Jumbling knowledge is arranged into several knowledge units by its contents, roll, and nature. (3) Through not only treating architectural drawings as an mass of figures to recognize what is on the paper, but also understanding the ones using those knowledge units to check up these drawings as if these have architectural meanings, rough sketches are recognized more precisely. By restricting persons who draw 'esquisse', as well as sketched drawing being not so roughly drawn, sketches are understood almost accurate.
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Toru ISHIDA
Article type: Technical paper
1988 Volume 3 Issue 4 Pages
503-510
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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We have been studying a knowledge based approach to Information retrieval and have implemented an experimental knowledge based documentation browser called KBrows. KBrows incorporates documentation databases, knowledge bases and an inference engine. The KBrows knowledge base is organized in the form of semantic networks : keywords in documentation are denoted by nodes, and each link expresses a relationship between two keywords. A Portion of the original document, which describes the relationship, is registered to the link. The automatic exploration is achieved by searching meaningful paths on semantic networks and gathering portions of the document along the paths. In particular, we focus attention on two major problems in building and exploring semantic networks on documents ; stepwise knowledge base refinement, and exploring large semantic networks. It is usually not necessary to construct a precise knowledge base from the very beginning. A more realistic approach is to construct an approximate knowledge base at first, and then refine it as the necessity arises. We have studied this stepwise refinement approach by embodying it in KBrows. To support stepwise refinement, KBrows allows users to represent knowledge in various levels of refinement, and enables characteristics features of relations to be specified incrementally. Efficient exploration of large semantic networks is achived by using the KBrows production system, in which new mechanisms are introduced for focusing on exploration areas. We are in the process of constructing a knowledge base for "Common Lisp : The Language" (CLtL). Relationships between keywords are initially extracted from documentation based on both text structure and Positions of keywords. Refinement of the network is currently being done interactively. Future issues obtained from this experience are also discussed.
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[in Japanese]
Article type: Other
1988 Volume 3 Issue 4 Pages
511-512
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Other
1988 Volume 3 Issue 4 Pages
512-513
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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[in Japanese], [in Japanese]
Article type: Corner article
1988 Volume 3 Issue 4 Pages
514-515
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Corner article
1988 Volume 3 Issue 4 Pages
516-517
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Corner article
1988 Volume 3 Issue 4 Pages
518-519
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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[in Japanese]
Article type: Corner article
1988 Volume 3 Issue 4 Pages
520
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Article type: Other
1988 Volume 3 Issue 4 Pages
521
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Article type: Activity report
1988 Volume 3 Issue 4 Pages
522-525
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Article type: Activity report
1988 Volume 3 Issue 4 Pages
526-527
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Article type: Activity report
1988 Volume 3 Issue 4 Pages
528-529
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Article type: Activity report
1988 Volume 3 Issue 4 Pages
530-531
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Article type: Activity report
1988 Volume 3 Issue 4 Pages
b001-b004
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Article type: Activity report
1988 Volume 3 Issue 4 Pages
b005-b012
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Article type: Cover page
1988 Volume 3 Issue 4 Pages
c004
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Article type: Cover page
1988 Volume 3 Issue 4 Pages
c004_2
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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Article type: Table of contents
1988 Volume 3 Issue 4 Pages
i004
Published: July 20, 1988
Released on J-STAGE: September 29, 2020
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