Advances in Intelligent Tutoring Systems by Roger Nkambou, Riichiro Mizoguchi, Jacqueline Bourdeau

By Roger Nkambou, Riichiro Mizoguchi, Jacqueline Bourdeau

The concept for this e-book on clever Tutoring structures (ITS) used to be sparked by way of the luck of the ITS’08 foreign convention. The variety of displays and their caliber bore witness to the power and adulthood of the sector, and the passion of the contributors held out a promise of sustainability and cutting edge learn. lengthy existence to ITS learn! The publication is split into 5 components. The introductory chapters to those components, which summarize foundations, advancements, strengths and weaknesses in all the parts lined, are addressed to all readers. in case you wish extra in-depth wisdom, we supply the ground to researchers who current their paintings, their effects, and their view of what the long run holds. it truly is our desire that each one readers will locate the publication informative and thought-provoking.

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In fact, DLs (Baader et al. 2007) may be seen as a logical reformulation of frames and ontologies and may provide them with a rigorous and strong basis for reasoning. Indeed, DLs provide representation and reasoning languages with precise semantics. They also limit language expressiveness so that they can guarantee tractable inference. For instance, W3C’s OWL-DL is based on SHOIN expressive description logic which is known to be decidable (Horrocks and Sattler 2007). A major characteristic of a DL is that concepts are defined in terms of descriptions using other roles and concepts.

The Semantic Web community has developed a formal language for ontology implementation called Web Ontology Language (OWL). Frames and ontology semantics are suitable for building on Description Logics (DLs). In fact, DLs (Baader et al. 2007) may be seen as a logical reformulation of frames and ontologies and may provide them with a rigorous and strong basis for reasoning. Indeed, DLs provide representation and reasoning languages with precise semantics. They also limit language expressiveness so that they can guarantee tractable inference.

The Conditions of Learning, 4th edn. : Metadata? Thesauri? Taxonomies? Topic Maps! Making Sense of it all. : Analysis for Knowledgebased Systems. In: A Practical Guide to the KADS Methodology. : Using an Expressive Description Logic: FaCT or Fiction? In: Proc. of the 6th Int. Conf. on Principles of Knowledge Representation and Reasoning (KR 1998), pp. : A Tableau Decision Procedure for SHOIQ. J. : Abstract planning and perceptual chunks: Elements of expertise in geometry. : Using Enhanced Concept Map for Student Modeling in a Model-Based Programming Tutor.

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