{"id":51316,"updated":"2025-01-22T07:15:17.732028+00:00","links":{},"created":"2025-01-18T23:15:53.362422+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00051316","sets":["1164:4402:4515:4518"]},"path":["4518"],"owner":"1","recid":"51316","title":["プロトコル解析の為の帰納的学習"],"pubdate":{"attribute_name":"公開日","attribute_value":"1988-07-07"},"_buckets":{"deposit":"aa562075-6ac6-4fd7-a837-9ca49b4cfedd"},"_deposit":{"id":"51316","pid":{"type":"depid","value":"51316","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"プロトコル解析の為の帰納的学習","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"プロトコル解析の為の帰納的学習"},{"subitem_title":"Inductive Learning for Protocol Analysis","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"1988-07-07","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"（財）新世代コンピュータ技術開発機構"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"ICOT Research Center, Institute for New Generation Computer Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/51316/files/IPSJ-ICS88059011.pdf"},"date":[{"dateType":"Available","dateValue":"1990-07-07"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ICS88059011.pdf","filesize":[{"value":"1.2 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"25"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"4770e494-1438-4e12-9189-e5654c611416","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 1988 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"滝, 寛和"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hirokazu, Taki","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11135936","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文は、専門家作業の時系列情報（プロトコル）からエキスパートシステムの知識ベースを構築する方法である解釈に基づく学習(IBL: Interpretation-Based Learning)について述べる。IBLでは、専門家作業を「状況の把握」＋「動作」として、その因果関係（「状況」?>「動作」）を帰納的にルール化することで、専門家の問題解決知識を獲得する。IBLは、獲得対象の「概念」、「概念間の関係」と「概念の意味する範囲」を先行知識として持つ。先行知識は、専門家作業の記号化、獲得したルールの不要項目の除去や一般化・特殊化に利用する。先行知識を利用する学習には、この他に、説明に基づく学習(EBL)があるが、それは、先行知識として、領域理論(Domain Theory)と操作性規範(Operationality Criteria)を持つ。IBLの「概念の意味する範囲」はこの操作性規範に対応する。IBLは、この領域理論も獲得できるため、領域理論が不十分な場合により有効である。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper describes a learning method for building knowledge bases. There are two types of knowledge acquisition systems which extract knowledge from human experts, interactive and non-interactive. This paper describes a non-interactive knowledge acquisition system which acquires a human expert's knowledge by observation. Ut learns the humane expert's problem solving strategies and makes logical rules from temporal sequential date. The learning method of the knowledge acquisition system is interpretation based learning (IBL), which uses advance knowledge in the learning process. Advance knowledge of IBL consists of domain concept relations and interpretation knowledge, which translates observed date into internal concepts. Although explanation based learning (EBL) also uses advance knowledge, which consists of domain theory and operationality criteria, it learns knowledge using the domain theory, but IBL learns the domain theory itself. IBL is a useful knowledge acquisition method when a domain theory has not been prepared.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"102","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告知能と複雑系（ICS）"}],"bibliographicPageStart":"95","bibliographicIssueDates":{"bibliographicIssueDate":"1988-07-07","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"44(1988-ICS-059)","bibliographicVolumeNumber":"1988"}]},"relation_version_is_last":true,"weko_creator_id":"1"}}