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2 - Propositional Logic

Published online by Cambridge University Press:  23 February 2011

Adnan Darwiche
Affiliation:
University of California, Los Angeles
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Summary

We introduce propositional logic in this chapter as a tool for representing and reasoning about events.

Introduction

The notion of an event is central to both logical and probabilistic reasoning. In the former, we are interested in reasoning about the truth of events (facts), while in the latter we are interested in reasoning about their probabilities (degrees of belief). In either case, one needs a language for expressing events before one can write statements that declare their truth or specify their probabilities. Propositional logic, which is also known as Boolean logic or Boolean algebra, provides such a language.

We start in Section 2.2 by discussing the syntax of propositional sentences, which we use for expressing events. We then follow in Section 2.3 by discussing the semantics of propositional logic, where we define properties of propositional sentences, such as consistency and validity, and relationships among them, such as implication, equivalence, and mutual exclusiveness. The semantics of propositional logic are used in Section 2.4 to formally expose its limitations in supporting plausible reasoning. This also provides a good starting point for Chapter 3, where we show how degrees of belief can deal with these limitations.

In Section 2.5, we discuss variables whose values go beyond the traditional true and false values of propositional logic. This is critical for our treatment of probabilistic reasoning in Chapter 3, which relies on the use of multivalued variables.

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Publisher: Cambridge University Press
Print publication year: 2009

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  • Propositional Logic
  • Adnan Darwiche, University of California, Los Angeles
  • Book: Modeling and Reasoning with Bayesian Networks
  • Online publication: 23 February 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511811357.003
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  • Propositional Logic
  • Adnan Darwiche, University of California, Los Angeles
  • Book: Modeling and Reasoning with Bayesian Networks
  • Online publication: 23 February 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511811357.003
Available formats
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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.

  • Propositional Logic
  • Adnan Darwiche, University of California, Los Angeles
  • Book: Modeling and Reasoning with Bayesian Networks
  • Online publication: 23 February 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511811357.003
Available formats
×