Computability and Logic

Description

   
This fourth edition of one of the classic logic textbooks has been thoroughly revised by John Burgess. The aim is to increase the pedagogical value of the book for the core market of students of philosophy and for students of mathematics and computer science as well. This book has become a classic because of its accessibility to students without a mathematical background, and because it covers not simply the staple topics of an intermediate logic course such as Godel's Incompleteness Theorems, but also a large number of optional topics from Turing's theory of computability to Ramsey's theorem. John Burgess has now enhanced the book by adding a selection of problems at the end of each chapter, and by reorganising and rewriting chapters to make them more independent of each other and thus to increase the range of options available to instructors as to what to cover and what to defer.

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1. Ebooks list page : 595
2. Computability, Complexity, Logic (Studies in Logic and the Foundations of Mathematics) (ReUp)
3. Computability, Complexity, Logic (Studies in Logic and the Foundations of Mathematics)
4. A First Course in Logic: An Introduction to Model Theory, Proof Theory, Computability, and Complexity (Oxford Texts in Logic)
5. A First Course in Logic: An Introduction to Model Theory, Proof Theory, Computability, and Complexity (Oxford Texts in Logic)
6. A First Course in Logic: An Introduction to Model Theory, Proof Theory, Computability, and Complexity (Oxford Texts in Logic)
7. Computability and Logic
8. Computability and Logic, 4th edition
9. Computability, Complexity, Logic
10. Computability and Logic, 5th Edition
11. Discrete Structures, Logic and Computability
12. Computability and Randomness (Oxford Logic Guides)
13. Computability: Computable Functions, Logic, and the Foundations of Mathematics
14. Computability in Analysis and Physics (Perspectives in Mathematical Logic)
15. Computation and Logic in the Real World: Third Conference on Computability in Europe
16. Computability and Randomness (Oxford Logic Guides): Andre Nies