Abstract
Symlog is a system for learning symbolic logic by computer. One of Symlog's components is a built-in theorem prover designed around a powerful, yet highly intuitive, set of proof construction strategies. Its role is to act as an advisor to students engaged in the construction of formal proofs in Fitch-style natural deduction systems of prepositional and predicate logic.
Preview
Unable to display preview. Download preview PDF.
References
Dafa, L. A Natural Deduction Automated Theorem Proving System, Automated Deduction-CADE-11, Lecture Notes in Artificial Intelligence, D. Kapur editor, vol 607, pp 668–672, Springer-Verlag (1992).
Fitch, F.B. Symbolic Logic: An Introduction, Ronald (1952).
Pelletier, F. J. Further Developments in THINKER, an Automated Theorem Prover, Technical Report TR-ARP-16/87, Australian National University (1987).
Portoraro, F. D. and Tully, R. E. Logic with Symlog: Learning Symbolic Logic by Computer, Prentice-Hall (1994).
Sieg, W. and Scheines, R. Searching for Proofs (in Sentential Logic), Philosophy and the Computer, L. Burkholder editor, pp 137–159, Westview (1992).
Suppes, P. et al. Part I. Interactive Theorem-Proving in CAI Courses, University-Level Computer-Assisted Instruction at Stanford: 1968–1980, P. Suppes editor, IMSSS, Stanford University (1981).
Suppes, P. The Next Generation of Interactive Theorem Provers, 7th International Conference on Automated Deduction, Lecture Notes in Computer Science, R. E. Shostak editor, vol 170, pp 303–315, Springer-Verlag (1984).
Wos, L. The Impossibility of the Automation of Logical Reasoning, Automated Deduction-CADE-11, Lecture Notes in Artificial Intelligence, D. Kapur editor, vol 607, pp 1–3, Springer-Verlag (1992).
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1994 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Portoraro, F.D. (1994). Symlog automated advice in Fitch-style proof construction. In: Bundy, A. (eds) Automated Deduction — CADE-12. CADE 1994. Lecture Notes in Computer Science, vol 814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58156-1_64
Download citation
DOI: https://doi.org/10.1007/3-540-58156-1_64
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-58156-7
Online ISBN: 978-3-540-48467-7
eBook Packages: Springer Book Archive