A Knowledge Engineers Comparison of Three Evidence Aggregation Methods

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📝 Original Info

  • Title: A Knowledge Engineers Comparison of Three Evidence Aggregation Methods
  • ArXiv ID: 1304.2744
  • Date: 2013-04-11
  • Authors: Researchers from original ArXiv paper

📝 Abstract

The comparisons of uncertainty calculi from the last two Uncertainty Workshops have all used theoretical probabilistic accuracy as the sole metric. While mathematical correctness is important, there are other factors which should be considered when developing reasoning systems. These other factors include, among other things, the error in uncertainty measures obtainable for the problem and the effect of this error on the performance of the resulting system.

💡 Deep Analysis

Deep Dive into A Knowledge Engineers Comparison of Three Evidence Aggregation Methods.

The comparisons of uncertainty calculi from the last two Uncertainty Workshops have all used theoretical probabilistic accuracy as the sole metric. While mathematical correctness is important, there are other factors which should be considered when developing reasoning systems. These other factors include, among other things, the error in uncertainty measures obtainable for the problem and the effect of this error on the performance of the resulting system.

📄 Full Content

The comparisons of uncertainty calculi from the last two Uncertainty Workshops have all used theoretical probabilistic accuracy as the sole metric. While mathematical correctness is important, there are other factors which should be considered when developing reasoning systems. These other factors include, among other things, the error in uncertainty measures obtainable for the problem and the effect of this error on the performance of the resulting system.

Reference

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