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1 - Introduction

Published online by Cambridge University Press:  05 September 2016

Gheorghe Tecuci
Affiliation:
George Mason University, Virginia
Dorin Marcu
Affiliation:
George Mason University, Virginia
Mihai Boicu
Affiliation:
George Mason University, Virginia
David A. Schum
Affiliation:
George Mason University, Virginia
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Summary

UNDERSTANDING THE WORLD THROUGH EVIDENCE-BASED REASONING

We can try to understand the world in various ways, an obvious one being the employment of empirical methods for gathering and analyzing various forms of evidence about phenomena, events, and situations of interest to us. This will include work in all of the sciences, medicine, law, intelligence analysis, history, political affairs, current events, and a variety of other contexts too numerous to mention. In the sciences, this empirical work will involve both experimental and nonexperimental methods. In some of these contexts, notably in the sciences, we are able to devise mathematical and logical models that allow us to make inferences and predictions about complex matters of interest to us. But in every case, our understanding rests on our knowledge of the properties, uses, discovery, and marshaling of evidence. This is why we begin this book with a careful consideration of reasoning based on evidence.

What Is Evidence?

You might think this question is unnecessary since everyone knows what evidence is. However, matters are not quite that simple, since the term evidence is not so easy to define and its use often arouses controversy. One problem with the definition of evidence is that several other terms are often used synonymously with it, when in fact there are distinctions to be made among these terms that are not always apparent. Quite unnecessary controversy occurs since some believe that the term evidence arises and has meaning only in the field of law.

Consulting a dictionary actually does not assist us much in defining the term. For example, look at the Oxford English Dictionary under the term evidence and you will be led in a circle; evidence is ultimately defined as being evidence.

A variety of terms are often used as synonyms for the term evidence: data, items of information, facts, and knowledge. When examined carefully, there are some valid and important distinctions to be made among these terms, as we will now discuss.

Evidence, Data, and Information

Consider the terms data and items of information.

Data are uninterpreted signals, raw observations, measurements, such as the number 6, the color “red,” or the sequence of dots and lines “…–…”.

Information is data equipped with meaning provided by a certain context, such as “6 am,” “red traffic light,” “red tomato,” or the “S O S” emergency alert.

Type
Chapter
Information
Knowledge Engineering
Building Cognitive Assistants for Evidence-based Reasoning
, pp. 1 - 45
Publisher: Cambridge University Press
Print publication year: 2016

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  • Introduction
  • Gheorghe Tecuci, George Mason University, Virginia, Dorin Marcu, George Mason University, Virginia, Mihai Boicu, George Mason University, Virginia, David A. Schum, George Mason University, Virginia
  • Book: Knowledge Engineering
  • Online publication: 05 September 2016
  • Chapter DOI: https://doi.org/10.1017/CBO9781316388464.002
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  • Introduction
  • Gheorghe Tecuci, George Mason University, Virginia, Dorin Marcu, George Mason University, Virginia, Mihai Boicu, George Mason University, Virginia, David A. Schum, George Mason University, Virginia
  • Book: Knowledge Engineering
  • Online publication: 05 September 2016
  • Chapter DOI: https://doi.org/10.1017/CBO9781316388464.002
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Introduction
  • Gheorghe Tecuci, George Mason University, Virginia, Dorin Marcu, George Mason University, Virginia, Mihai Boicu, George Mason University, Virginia, David A. Schum, George Mason University, Virginia
  • Book: Knowledge Engineering
  • Online publication: 05 September 2016
  • Chapter DOI: https://doi.org/10.1017/CBO9781316388464.002
Available formats
×