{"created":"2023-05-15T09:37:13.092060+00:00","id":13205,"links":{},"metadata":{"_buckets":{"deposit":"2eab7fa5-21c0-4c0c-97c2-3904f441098a"},"_deposit":{"created_by":8,"id":"13205","owners":[8],"pid":{"revision_id":0,"type":"depid","value":"13205"},"status":"published"},"_oai":{"id":"oai:nara-edu.repo.nii.ac.jp:00013205","sets":["1292:1298:1725"]},"author_link":[],"item_3_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-11-30","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"66","bibliographicPageStart":"57","bibliographicVolumeNumber":"67","bibliographic_titles":[{"bibliographic_title":"奈良教育大学紀要. 人文・社会科学","bibliographic_titleLang":"ja"}]}]},"item_3_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"The present study investigated the differences of simulation outputs between a one- and a two-dimensional matrix. Cellular automata simulations of misbehavior were conducted using a 441x1 or a 21x1 one-dimensional matrix or a 21x21 two-dimensional matrix. Each of the cells had 1 of 4 behavioral principles: “obedient,” deviant,” “conforming,” and “contrary.” The cells changed their own states (“obeying” or “breaking” a rule) according to their own principles and states of their neighbor cells (namely, the cells around them in the matrix). “Range of neighbor distance” refers to the maximum distance in which they are able to perceive their neighbor cells; it was set at 1 or 4 for the 441x1 and 21x1 matrices. When it was set at 4, the cells were able to change their own states according to the states of neighbor cells within a distance of 4 grids, i.e., the states of up to 8 neighbor cells. For the 21x21 matrix, the range of neighbor distance was set at 1 only, and the cells were able to know states of up to 8 neighbor cells adjoining them. The output of the simulation was the frequency of misbehavior (breaking a rule).\nWhen the range of neighbor distance was set at 1, outputs of the simulation with the 441x1 and 21x1 matrices did not correspond with that of the 21x21 matrix. However, when the range of neighbor distance was set at 4, outputs of the 441x1 and 21x1 matrices were almost the same as the output of the 21x21 matrix. In addition, the output of the 441x1 matrix was more stable than that of the 21x1 matrix. These results imply that the 441x1 one-dimensional matrix can be used as a substitute for the 21x21 two-dimensional matrix.","subitem_description_type":"Abstract"}]},"item_3_full_name_2":{"attribute_name":"著者(ヨミ)","attribute_value_mlt":[{"names":[{"name":"デグチ, タクヒコ"}]}]},"item_3_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"names":[{"name":"DEGUCHI, Takuhiko"}]}]},"item_3_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"奈良教育大学"}]},"item_3_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"05472393","subitem_source_identifier_type":"PISSN"}]},"item_3_version_type_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"出口, 拓彦"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-01-30"}],"displaytype":"detail","filename":"06_出口_奈良教育大学紀要67-1.pdf","filesize":[{"value":"4.7 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"06_出口_奈良教育大学紀要67-1","url":"https://nara-edu.repo.nii.ac.jp/record/13205/files/06_出口_奈良教育大学紀要67-1.pdf"},"version_id":"1124f1a4-9560-4c9e-a1a1-c2af46907cd1"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"問題行動のシミュレーション"},{"subitem_subject":"1 次元セル・オートマトン"},{"subitem_subject":"2 次元セル・オートマトン"},{"subitem_subject":"simulations of misbehaviors","subitem_subject_language":"en"},{"subitem_subject":"one-dimensional cellular automaton","subitem_subject_language":"en"},{"subitem_subject":"two-dimensional cellular automaton","subitem_subject_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper"}]},"item_title":"1 次元セル・オートマトン法を用いた問題行動のシミュレーション─ 2 次元セル・オートマトン法との相違に着目して─","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"1 次元セル・オートマトン法を用いた問題行動のシミュレーション─ 2 次元セル・オートマトン法との相違に着目して─","subitem_title_language":"ja"},{"subitem_title":"A One-dimensional Cellular Automaton of Misbehavior : Focusing on Differences between One- and Two-dimensional Matrices","subitem_title_language":"en"}]},"item_type_id":"3","owner":"8","path":["1725"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2019-01-30"},"publish_date":"2019-01-30","publish_status":"0","recid":"13205","relation_version_is_last":true,"title":["1 次元セル・オートマトン法を用いた問題行動のシミュレーション─ 2 次元セル・オートマトン法との相違に着目して─"],"weko_creator_id":"8","weko_shared_id":-1},"updated":"2023-10-02T07:44:36.270312+00:00"}