The problem of self-analytically choosing the weights

This article is the eighth of a series of articles discussing various open research problems in automated reasoning. Here we focus on self-analysis and the weighting strategy. The problem proposed for research asks one to find a means for an automated reasoning program to self-analytically determine which weights or priorities to give to clauses at various points during the program's attempt to complete a given assignment. For evaluating a proposed solution to this research problem, we include suggestions concerning possible test problems.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under contract W-31-109-Eng-38.     

The problem of self-analytically choosing the set of support

This article is the seventh of a series of articles discussing various open research problems in automated reasoning. Here we focus on self-analysis and the set of support strategy. The problem proposed for research asks for one to find a means for an automated reasoning program to self-analytically determine which clauses to be in the set of support at various points during the program's attempt to complete a given assignment. For evaluating a proposed solution to this research problem, we include suggestions concerning possible test problems.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under contract W-31-109-Eng-38.     

The problem of finding a strategy to control binary paramodulation

This article is the fifth of a series of articles discussing various open research problems in automated reasoning. Here we focus on the equality relation which is so vital to many applications of automated reasoning. The prolem proposed for research asks one to find a strategy for controlling the application of binary paramodulation. For evaluating a proposed solution to this research problem, we include suggestions concerning possible test problems.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under contract W-31-109-Eng-38.     

The problem of finding a restriction strategy more effective than the set of support strategy

This article is the seventeenth of a series of articles discussing various open research problems in automated reasoning. Here we focus on formulating a new restriction strategy for curtailing the number of clauses generated and retained during the completion of an assignment. The problem proposed for research asks one to find a strategy that sharply restricts the tendency of an automated reasoning program to deduce far too many conclusions, many of which are redundant or irrelevant. The new strategy must be more powerful than the set of support strategy on a substantial set of problems. We suggest possible test problems from Tarskian geometry and the equivalential calculus for evaluating a proposed solution to this research problem.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under Contract W-31-109-Eng-38.     

The problem of strategy and hyperresolution

This article is the thirty-first of a series of articles discussing various open research problems in automated reasoning. The problem proposed for research asks one to find a strategy that can be coupled with the inference rule hyperresolution to control the behavior of an automated reasoning program as effectively as does paramodulation.This work was supported by the Office of Scientific Computing, U.S. Department of Energy, under Contract W-31-109-Eng-38.     

The problem of choosing between logic programming and general-purpose automated reasoning

This article is the thirteenth of a series of articles discussing various open research problems in automated reasoning. Here we focus on finding criteria for correctly choosing between using logic programming and a more general automated reasoning approach to attack a given assignment. The problem proposed for research asks one to find criteria that classify problems as solvable with a well-focused algorithm or as requiring a more general search for new information. We include suggestions for evaluating a proposed solution to this research problem.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under Contract W-31-109-Eng-38.     

The problem of choosing between predicate and function notation for problem representation

This article is the sixteenth of a series of articles discussing various open research problems in automated reasoning. Here we focus on choosing between the use of predicates and the use of functions for representing information to an automated reasoning program. The problem proposed for research asks one to find criteria that dictate the most effective choice of notation-functions or predicates-for presenting the question to be studied. The criteria must reflect the close coupling between inference rule, strategy, and representation. We suggest possible test problems for evaluating a proposed solution to this research problem.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under Contract W-31-109-Eng-38.     

The problem of choosing the representation,inference rule,and strategy

This article is the nineteenth of a series of articles discussing various open research problems in automated reasoning. The problem proposed for research asks one to find guidelines for simultaneously choosing the most effective representation, inference rule, and strategy. Since the three areas are tightly coupled, formulation of such guidelines requires understanding the precise nature of this coupling. For evaluating a proposed solution to this research problem, we suggest possible test problems from group theory, Gödel's finite axiomatization of set theory, and program verification.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under Contract W-31-109-Eng-38.     

The problem of explaining the disparate performance of hyperresolution and paramodulation

This article is the sixth of a series of articles discussing various open research problems in automated reasoning. Here we focus on the effectiveness of hyperresolution versus that of paramodulation. The problem proposed for research asks one to find the properties that explain why paramodulation is so much more effective than hyperresolution is for solving various problems from algebra. Fore evaluating a proposed solution to this research problem, we include suggestions concerning possible test problems.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under contract W-31-109-Eng-38.     

The problem of definition expansion and contraction

This article is the fourth of a series of articles discussing various open research problems in automated reasoning. The problem proposed for research focuses on finding criteria that would enable an automated reasoning program to expand or contract definitions wisely. For evaluating a proposed solution to this research problem, we include suggestions concerning possible test problems.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under contract W-31-109-Eng-38.     

The problem of finding an inference rule for set theory

This article is the ninth of a series of articles discussing various open research problems in automated reasoning. Here we focus on finding an inference rule for set theory. The problem proposed for research asks one to find a means for building in set-theoretic reasoning in a manner similar to the way paramodulation builds in equality-oriented reasoning. For evaluating a proposed solution to this research problem, we include suggestions concerning possible test problems.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under contract W-31-109-Eng-38.     

The problem of demodulator adjunction

This article is the twenty-third of a series of articles discussing various open research problems in automated reasoning. The problem proposed for research asks one to find criteria for deciding which e1uality unit clauses to adjoin with regard to CPU time and may affect refutation completeness. For evaluating a proposed solution to this research problem, we suggest problems from mathematics, logic, circuit design, program verification, and the world of puzzles.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under Contract W     

The problem of finding a mapping between clause representation and natural-deduction representation

This article is the fourteenth of a series of articles discussing various open research problems in automated reasoning. Here we focus on the relationship between two approaches to the automation of reasoning: the paradigm based on the clause language and that based on natural deduction. The problem proposed for research asks one to find a mapping between the two approaches such that reasoning programs based on either approach perform identically on a specific assignment. For evaluating a proposed solution to this research problem, we include suggestions concerning possible test problems.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under Contract W-31-109-Eng-38.     

The problem of reasoning from inequalities

This article is the twenty-first of a series of articles discussing various open research problems in automated reasoning. The problem proposed for research asks one to find an inference rule that performs as paramodulation does, but with the focus on inequalities rather than on equalities. Since, too often, inequalities that are present in the input play a passive role during a reasoning program's attempt to complete an assignment, such an inference rule would markedly add to program effectiveness by giving inequalities the potential of playing a key role. For evaluating a proposed solution to this research problem, we suggest as possible test problems theorems from group theory and theorems from ring theory. This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under Contract W-13-109-Eng-38.     

The problem of finding a semantic strategy for focusing inference rules

This article is the fifteenth of a series of articles discussing various open research problems in automated reasoning. Here we focus on finding a strategy — other than a simple syntactic one — that can be used for focusing the attention of the inference rule(s) in use. The problem proposed for research asks one to find semantic criteria for selecting the clauses needed to complete the application of an inference rule. Suggestions for test problems are included. We note that Yuan Yu has solved two of these problems using a rather different approach with the Boyer-Moore theorem prover; his work is reported elsewhere in this issue of the Journal of Automated Reasoning.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under Contract W-31-109-Eng-38.     

The problem of induction

This article is the thirtieth of a series of articles discussing various open research problems in automated reasoning. The problem proposed for research asks for criteria for accurately determining when an induction argument is the appropriate form of argument for an automated reasoning program to employ. This research problem also asks for criteria for choosing well the property on which to conduct the induction argument.This work was supported by the Office of Scientific Computing, U.S. Department of Energy, under Contract W-31-109-Eng-38.     

The problem of choosing the type of subsumption to use

This article is the eighteenth of a series of articles discussing various open research problems in automated reasoning. The problem proposed for research asks one to find criteria for choosing the type of subsumption (if any) to use for completing a specific assignment. Since subsumption can be expensive (in terms of computer time), the application of such criteria to select the most effective variant of subsumption for attacking a specific problem might materially affect the liklihood of success. As possible test problems for evaluating a proposed solution to this research problem, we suggest SAM's lemma, theorems from Tarskian geometry, and theorems from equivalential calculus.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under Contract W-31-109-Eng-38.     

The problem of demodulation during inference rule application

This article is the twenty-second of a series of articles discussing various open research problems in automated reasoning. The problem proposed for research asks one to find criteria for deciding when to permit and when to avoid demodulation during the application of inference rules, focusing mainly on hyperresolution, UR-resolution, and hyperparamodulation. Since these three inference rules admit natural points at which one or more demodulators (rewrite rules) could be applied-for example, after the removal of a literal or the replacement of a term-and since the dominant practice is to demodulate only after an inference rule has been completely applied, the proposed research focuses on an intriguing alternative. For evaluating a proposed solution to this research problem, we suggest problems from mathematics, logic, circuit design, program verification, and the world of puzzles.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Eneregy Research, U.S. Department of Energy, under Contract W-31-109-Eng-38.     

The problem of choosing between using and avoiding equality predicates

This article is the twentieth of a series of articles discussing various open research problems in automated reasoning. The problem proposed for research asks one to find criteria for effectively choosing between using and avoiding equality predicates. Since there exist inference rules (such as paramodulation) that enable an automated reasoning program to treat equality as understood, the discovery of such criteria would mark an important advance for the field. For evaluating a proposed solution to this research problem, we suggest possible test problems from group theory, ring theory, and Boolean algebra.This work was supported by the Applied Mathematical Sciences subprogram of the Office of Energy Research, U.S. Department of Energy, under Contract W-31-109-Eng-38.     

The problem of hyperparamodulation

This article is the thirty-second of a series of articles discussing various open research problems in automated reasoning. The problem proposed for research asks one to find a variant of the inference rule hyperparamodulation that avoids generating many of the binary paramodulants ordinarily deduced.This work was supported by the Office of Scientific Computing, U.S. Department of Energy, under Contract W-31-109-Eng-38.