{"product_id":"ieej-is11001","title":"Flexible Modeling Language in Qualitative Simulation","description":"\u003cp\u003e\u003cstrong\u003eカテゴリ: \u003c\/strong\u003e研究会(論文単位)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e論文No: \u003c\/strong\u003eIS11001\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eグループ名: \u003c\/strong\u003e【C】電子・情報・システム部門 情報システム研究会\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e発行日: \u003c\/strong\u003e2011\/04\/14\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eタイトル(英語): \u003c\/strong\u003eFlexible Modeling Language in Qualitative Simulation\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名: \u003c\/strong\u003eHashiura Yuji(Yamagata University),Matsuo Tokuro(Yamagata University)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名(英語): \u003c\/strong\u003eHashiura Yuji(Yamagata University),Matsuo Tokuro(Yamagata University)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eキーワード: \u003c\/strong\u003eＱｕａｌｉｔａｔｉｖｅ　Ｓｉｍｕｌａｔｉｏｎ|Ｕｎｉｆｉｅｄ　Ｍｏｄｅｌｉｎｇ　Ｓｅｔ|Ｃａｕｓｅ　ａｎｄ　Ｅｆｆｅｃｔ　Ｌａｗ|Ｓｔｏｃｈａｓｔｉｃ　Ｒｅａｓｏｎｉｎｇ|Qualitative Simulation|Unified Modeling Set|Cause and Effect Law|Stochastic Reasoning\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(日本語): \u003c\/strong\u003eIn this paper, we define a new unified modeling language to express a complex graph-based qualitative simulationmodel. In existing researches, most of them employ traditional modeling form of qualitative simulation including QSIM,QPT(qualitative process theory), and QQS(qualitative-quantitative simulation). However, it has a strong limitationto describe a simulation model because they do not have a conditional and situation-based reasoning method. Also,in existing researches, the system to be analyzed is static or non-autonomous system in mathematical meaning. Ourproposed method permits to model and analyze an autonomous system where the system changes with time passes.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(英語): \u003c\/strong\u003eIn this paper, we define a new unified modeling language to express a complex graph-based qualitative simulationmodel. In existing researches, most of them employ traditional modeling form of qualitative simulation including QSIM,QPT(qualitative process theory), and QQS(qualitative-quantitative simulation). However, it has a strong limitationto describe a simulation model because they do not have a conditional and situation-based reasoning method. Also,in existing researches, the system to be analyzed is static or non-autonomous system in mathematical meaning. Ourproposed method permits to model and analyze an autonomous system where the system changes with time passes.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e原稿種別: \u003c\/strong\u003e日本語\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePDFファイルサイズ: \u003c\/strong\u003e665 Kバイト\u003c\/p\u003e","brand":"IEEJ-PDF","offers":[{"title":"PDFダウンロード（一般価格330円\/会員価格220円） \/ A4 \/ 6","offer_id":46362581270767,"sku":"IEEJ-IS11001-PDF","price":330.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0718\/9512\/2159\/files\/IEEJ-PDF_2fed68ae-b905-4fa5-971d-824d43cc08cd.png?v=1743630914","url":"https:\/\/ieej.bookpark.ne.jp\/products\/ieej-is11001","provider":"電気学会 電子図書館","version":"1.0","type":"link"}