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Deduction: Introductory Symbolic Logic, 2nd Edition

ISBN: 978-0-631-22713-7

November 2002

Wiley-Blackwell

528 pages

Description

Deduction is an efficient and elegant presentation of classical first-order logic. It presents a truth tree system based on the work of Jeffrey, as well as a natural deduction system inspired by that of Kalish and Montague.

  • Efficient and elegant presentation of classical first-order logic.
  • Presents a truth tree system based on the work of Jeffrey, as well as a natural deduction system inspired by that of Kalish and Montague.
  • Contains detailed, yet accessible chapters on extensions and revisions of classical logic: modal logic, many-valued logic, fuzzy logic, intuitionistic logic, counterfactuals, deontic logic, common sense reasoning, and quantified modal logic.
  • Includes problem sets, designed to lead students gradually from easier to more difficult problems.

Further information and select answers to problems available here: bonevac.info/deduction/About_the_Book.html

About the Author
Daniel Bonevac is Professor of Philosophy at the University of Texas at Austin. He is the author of Reduction in the Abstract Sciences (1982), which received the Johnsonian Prize from The Journal of Philosophy, as well as The Art and Science of Logic (1990), Simple Logic (1999), and Worldly Wisdom (2001). He also edited Today's Moral Issues (fourth edition, 2002), Understanding Non-Western Philosophy (with Stephen Phillips, 1993), and Beyond the Western Tradition: Readings in Moral and Political Philosophy (with William Boon and Stephen Phillips, 1992).
Features

  • Efficient and elegant presentation of classical first-order logic.
  • Presents a truth tree system based on the work of Jeffrey, as well as a natural deduction system inspired by that of Kalish and Montague.
  • Contains detailed, yet accessible chapters on extensions and revisions of classical logic: modal logic, many-valued logic, fuzzy logic, intuitionistic logic, counterfactuals, deontic logic, common sense reasoning, and quantified modal logic.
  • Includes problem sets, designed to lead students gradually from easier to more difficult problems.