Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report

📝 Original Info

• Title: Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report
• ArXiv ID: 1303.5414
• Date: 2013-03-25
• Authors: Researchers from original ArXiv paper

📝 Abstract

Automated decision making is often complicated by the complexity of the knowledge involved. Much of this complexity arises from the context sensitive variations of the underlying phenomena. We propose a framework for representing descriptive, context-sensitive knowledge. Our approach attempts to integrate categorical and uncertain knowledge in a network formalism. This paper outlines the basic representation constructs, examines their expressiveness and efficiency, and discusses the potential applications of the framework.

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Deep Dive into Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report.

Automated decision making is often complicated by the complexity of the knowledge involved. Much of this complexity arises from the context sensitive variations of the underlying phenomena. We propose a framework for representing descriptive, context-sensitive knowledge. Our approach attempts to integrate categorical and uncertain knowledge in a network formalism. This paper outlines the basic representation constructs, examines their expressiveness and efficiency, and discusses the potential applications of the framework.

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