Truth Maintenance Under Uncertainty

📝 Original Info

• Title: Truth Maintenance Under Uncertainty
• ArXiv ID: 1304.2353
• Date: 2013-04-10
• Authors: Researchers from original ArXiv paper

📝 Abstract

This paper addresses the problem of resolving errors under uncertainty in a rule-based system. A new approach has been developed that reformulates this problem as a neural-network learning problem. The strength and the fundamental limitations of this approach are explored and discussed. The main result is that neural heuristics can be applied to solve some but not all problems in rule-based systems.

💡 Deep Analysis

Deep Dive into Truth Maintenance Under Uncertainty.

This paper addresses the problem of resolving errors under uncertainty in a rule-based system. A new approach has been developed that reformulates this problem as a neural-network learning problem. The strength and the fundamental limitations of this approach are explored and discussed. The main result is that neural heuristics can be applied to solve some but not all problems in rule-based systems.

📄 Full Content

Reference