Research ArticleOpen accessIn the keywordsA New Model for Multi-agent Case-base Reasoning SystemsAbdel Badeea Salem, Aldahoud Ali, Ibrahiem M. M. El EmaryMulti-Agent Systems (MASs) and Case-Based Reasoning (CBR) are two recent and hot paradigms in artificial intelligence field. CBR is a reasoning methodology based on old experience reasoning or similarity-based reasoning while MAS is a new paradigm to organize AI applications. CBR offers multi-agent systems the capability of autonomously learning from experience. This study examines the integration of CBR, MASs and … …Journal of Computer Science, Vol. 1, Issue 2 · 19 Oct 2005 · 5,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractGas Turbine Ontology for the Industrial ProcessesF. Z. Laallam, M. SellamiThe activity of supervision and control of the industrial processes is a very complex spot and require a great experiment because of the dynamic characteristics of the process. This experiment was acquired with the passing of years. What makes departure of an expert in retirement a great loss of the know-how. The problem thus consists to capture this know-how and … …Journal of Computer Science, Vol. 3, Issue 2 · 28 Feb 2007 · 7,298 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Approach to Digital Objects Storage and RetrievalKhalil Shihab, Haider Ramadhan, Nida Al-ChalabiImage retrieval systems are becoming increasingly important in areas of research and commercial use. The storage of digital objects in the traditional databases is considered inadequate because of the extensive precise data required for successful retrieval. In addition, the retrieval process has been implemented using content-based image retrieval (CBIR) that relies on retrieving stored images from a collection by comparing … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 6,491 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSTRATEGY PATTERNS PREDICTION MODELAram Baruch Gonzalez Perez, Jorge Adolfo Ramirez UrestiMulti-agent systems are broadly known for being able to simulate real-life situations which require the interaction and cooperation of individuals. Opponent modeling can be used along with multi-agent systems to model complex situations such as competitions like soccer games. In this study, a model for predicting opponent moves based on their target is presented. The model is composed by an … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,854 accessesView PDFCite