Automatically assigned DDC number: 006333

Manually assigned DDC number: 006333

Number of references: 8

Title: Towards a Framework for Memory-Based Reasoning

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Subject: Simon Kasif,Steven Salzberg,David Waltz,John Rachlin,David Aha Towards a Framework for Memory-Based Reasoning

Description: In this paper, we propose a broad framework for Memory-Based Reasoning (MBR). The framework allows us to clarify the technical merits and limitations of several current MBR methods and to design new variants. The proposed computational framework consists of three components: a specification language to define an adaptive notion of relevant context for a query; mechanisms for retrieving this context; and local learning procedures that are used to induce the desired action from this context. Based on the framework we derive several analytical and empirical results that shed light on MBR algorithms. We introduce the notion of an MBR transform, and discuss its utility for learning algorithms. We also provide several perspectives on memory-based reasoning from a multi-disciplinary point of view. 1 Introduction Reasoning can be broadly defined as the task of deciding what action to perform in a particular state or in response to a given query. Actions can range from admitting a patient into...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1996-03-06

Pubyear: 1995

Format: ps

Identifier: http://citeseer.ist.psu.edu/165735.html

Source: http://www.neci.nj.nec.com/homepages/waltz/waltz.aij.ps

Language: en

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