Introduction: Tutorial on Resolution

Automated theorem proving involves the programming of computers to perform logical (mathematical) deduction. This should not be confused with numerical calculation, in which operations that need to be performed can be exactly specified ahead of time as, for example, in Gaussian elimination. Rather, theorem provers search for proofs of statements given axioms describing the basic assumptions such as would occur in a modern algebra text on group theory. There are many theorem-proving programs that are based on ad hoc data representations and manipulations;many such techniques are derived by the programmer analyzing how he himself proves theorems. However, the most widely studied and best understood general method is based on the resolution principle for first-order logic of Robinson [9]. Indeed, all the papers in this issue have resolution as a starting point.

[1]  Steven K. Winker An Evaluation of an Implementation of Qualified Hyperresolution , 1976, IEEE Transactions on Computers.

[2]  Daniel H. Fishman A Problem-Oriented Search Procedure for Theorem Proving , 1976, IEEE Transactions on Computers.

[3]  Sharon Sickel,et al.  A Search Technique for Clause Interconnectivity Graphs , 1976, IEEE Transactions on Computers.

[4]  Charles G. Morgan,et al.  Methods for Automated Theorem Proving in Nonclassical Logics , 1976, IEEE Transactions on Computers.

[5]  Peter B. Andrews Refutations by Matings , 1976, IEEE Transactions on Computers.

[6]  Jack Minker,et al.  Resolution, Refinements, and Search Strategies: A Comparative Study , 1976, IEEE Transactions on Computers.

[7]  George W. Ernst,et al.  The Use of Higher Order Logic in Program Verification , 1976, IEEE Transactions on Computers.

[8]  Larry Wos,et al.  Problems and Experiments for and with Automated Theorem-Proving Programs , 1976, IEEE Transactions on Computers.

[9]  J. A. Robinson,et al.  A Machine-Oriented Logic Based on the Resolution Principle , 1965, JACM.

[10]  Lawrence J. Henschen,et al.  Semantic Resolution for Horn Sets , 1975, IEEE Transactions on Computers.