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Read e-book online Active Conceptual Modeling of Learning: Next Generation PDF

By Peter P. Chen, Leah Y. Wong

ISBN-10: 3540775021

ISBN-13: 9783540775027

ISBN-10: 354077503X

ISBN-13: 9783540775034

This quantity features a number of the papers provided throughout the First overseas ACM-L Workshop, which was once held in Tucson, Arizona, throughout the twenty fifth foreign convention on Conceptual Modeling, ER 2006.

Included during this state of the art survey are eleven revised complete papers, rigorously reviewed and chosen from the workshop shows. those are crowned off with four invited lectures and an introductory and motivational overview.

Taken as a complete, those papers conceal almost all the present considering in conceptual modeling research.

The workshop in query concerned with improving the basic realizing of the way to version continuous studying from previous stories and the way to seize wisdom from transitions among approach states.

Active conceptual modeling is a continuous means of describing all elements of a website, its actions, and alterations from various views according to our wisdom and understanding.

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Additional resources for Active Conceptual Modeling of Learning: Next Generation Learning-Base System Development

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However, at the same time, we insist on a sound semantics and the capability of answering hypothetical ”what-if” queries. Towards this end, we introduce the high-level language LEAR that can be used to describe the dynamics of the problem domain, specify triggers under the (ECA)2 paradigm, and reason about the consequences of the possible evolutions. 1 Introduction and Motivation ER diagrams [8] have provided a foundation for a variety of tools for communicating between the domain-experts and system developers, which greatly facilitates the design process of the applications.

Adjusting parameters in order to maintain the desired specifications of the system’s state. Pro-active systems, on the other hand, may change the mode of interaction with the environment as well as the desired goals of the system. In this paper we describe our (ECA)2 paradigm for reactive behavior with proactive impact and we present our ongoing work and vision for a system that is capable of context-aware adaptation, while ensuring the maintenance of a set of desired behavioral policies. Our main focus is on developing a formalism that provides tools for expressing normal, as well as defeasible and/or exceptional specification.

However, as indicated with the dashed line, when meta-triggers are used, there is an order of magnitude of savings in the messages exchanged and, conversely, much larger energy savings. The other set of the experiments was concerned with the (im)precision issues. Namely, if periodic polling is used, the system may fail to detect changes in the values of the condition (continuous query) if those changes happen fast and inbetween two consecutive evaluations. The system may fail to detect the condition even if the meta-trigger is used, but this is only due to a communication delay and in the extreme case when it occurs at the expiration of the enabling event (which is also possibile when polling is used).

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Active Conceptual Modeling of Learning: Next Generation Learning-Base System Development by Peter P. Chen, Leah Y. Wong


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