IL(aleph): A unified approach to integrated learning

Previous efforts to integrate Explanation-Based Learning (EBL) and Similarity-Based Learning (SBL) have treated these two methods as distinct interactive processes. In contrast, the synthesis presented here views these techniques as emergent properties of a local associative learning rule operating within a neural network architecture. This architecture consists of an input layer, a layer buffering this input, but subject to descending influence from higher order units in the network, one or more hidden units encoding the previous knowledge of the network, and an output decision layer.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Katz, Bruce Farrell

Contributors dc:contributor

• Stepp, Robert E.

• Education, Educational Psychology
• Psychology, General
• Artificial Intelligence
• Computer Science

Statement dc:rights

• Copyright 1990 Katz, Bruce Farrell

Language dc:language

eng

Identifier

AAI9114286
(UMI)AAI9114286

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/20353