Location of Repository

Input "Understanding" as a Basis for Multistrategy Task-Adaptive Learning

By Ryszard S. Michalski and Gheorghe Tecuci

Abstract

The paper explores several general issues in developing a multistrategy task-adaptive learning (MTL) system. The system aims at integrating a whole range of learning strategies, such as explanation-based learning, empirical generalization, abduction, constn3. ctive induction, learning by analogy and abstraction. The integration is dynamic, i.e. the way different strategies are evoked depends on the learning task at hand. The key idea of the learning method is that the learner tries to "understand" the put in terms of its current knowledge, and then uses this understandihg to improve the knowledge. This process may involve both certain and plausible reasoning. The paper extends and generalizes the previous work on this topic

Topics: multistrategy learning, induction, analogy, abduction, abstraction, explanation- based
Year: 2007
OAI identifier: oai:CiteSeerX.psu:10.1.1.19.576
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.mli.gmu.edu/papers/... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.