Active Conceptual Modeling of Learning: Next Generation - download pdf or read online
By Peter P. Chen, Leah Y. Wong
This quantity includes a choice of the papers awarded in the course of the First overseas ACM-L Workshop, which used to be held in Tucson, Arizona, throughout the twenty fifth overseas convention on Conceptual Modeling, ER 2006.
Included during this cutting-edge 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 an entire, those papers hide nearly all the present pondering in conceptual modeling research.
The workshop in query fascinated with bettering the basic figuring out of ways to version continuous studying from earlier stories and the way to catch wisdom from transitions among procedure states.
Active conceptual modeling is a continuing means of describing all features of a site, its actions, and adjustments from various views in line with our wisdom and understanding.
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Additional info for Active Conceptual Modeling of Learning: Next Generation Learning-Base System Development
Morgan Kaufmann, San Francisco (2005) 15. : Declarative workﬂows that support easy modiﬁcations and dynamic browsing. In: Intl. Joint Conference on Work Activities Coordination and Collaboration (WACC) (1999) 16. : A meta-service for event notiﬁcation. In: CoopIS/DOA/ODBASE (1) (2004) 17. : Continual queries for internet scale event-driven information delivery. IEEE-TKDE 11(4) (1999) 18. : Continuously adaptive continuous queries over streams. In: ACM SIGMOD Conference (2002) 19. : Adaptive ﬁlters for continuous queries over distributed data streams.
During the early design stages , users are typically interested in sound but not quite complete descriptions, but would still like the ability to test the behavioral correctness of the system . 3. Aside from ordering among the activities in “mostly normal” executional scenarios, the users need the ability to specify exceptions, defeasibility, and reason about their impact on the system’s behavior. Furthermore, these abilities are needed even when the system is deployed, preferably at minimal expense (consumption) of system’s resources .
2 Evolving Reactive Behavior In order to illustrate our motivation better, we ﬁrst present a scenario for which we analyze the requirements. Consider the following request: I. Rq1: “When a moving object is continuously moving towards the region R for more than 5 minutes, if there are fewer than 10 ﬁghter jets in the base B1, then send alert_b to the armored unit A1. Also send alert_a to the infantry regiment I1, when that object is closer than 3 miles to R, if all the marine corps units are further then 5 miles from R”.
Active Conceptual Modeling of Learning: Next Generation Learning-Base System Development by Peter P. Chen, Leah Y. Wong