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Title: Milestones for automated reasoning.


No abstract prepared.

Publication Date:
Research Org.:
Argonne National Laboratory (ANL), Argonne,IL
Sponsoring Org.:
OSTI Identifier:
Report Number(s):
Journal ID: 0218-2130; TRN: US200703%%288
DOE Contract Number:
Resource Type:
Resource Relation:
Journal Name: IJAIT; Journal Volume: 15; Journal Issue: 1; Conference: 2nd International Joint Conference on AutomatedReasoning (IJCAR 2004) Cork, Ireland Jul 4-8, 2004
Country of Publication:
United States

Citation Formats

Wos, L. Milestones for automated reasoning.. United States: N. p., 2006. Web. doi:10.1142/S0218213006002540.
Wos, L. Milestones for automated reasoning.. United States. doi:10.1142/S0218213006002540.
Wos, L. Wed . "Milestones for automated reasoning.". United States. doi:10.1142/S0218213006002540.
title = {Milestones for automated reasoning.},
author = {Wos, L.},
abstractNote = {No abstract prepared.},
doi = {10.1142/S0218213006002540},
journal = {IJAIT},
number = 1,
volume = 15,
place = {United States},
year = {Wed Feb 01 00:00:00 EST 2006},
month = {Wed Feb 01 00:00:00 EST 2006}

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  • Given the necessary relationships and definitions of design functions and components, validation of system incarnation (the physical product of design) and sneak function analysis can be achieved via automated reasoners. The relationships and definitions must define the design specification and incarnation functionally. For the design specification, the hierarchical functional representation is based on physics and engineering principles and bounded by design objectives and constraints. The relationships and definitions of the design incarnation are manifested as element functional definitions, state relationship to functions, functional relationship to direction, element connectivity, and functional hierarchical configuration.
  • The likelihood of an automated reasoning program being of substantial assistance for a wide spectrum of applications rests with the nature of the options and parameters it offers on which to base needed strategies and methodologies. This article focuses on such a spectrum, featuring W. McCune's program OTTER, discussing widely varied successes in answering open questions, and touching on some of the strategies and methodologies that played a key role. The applications include finding a first proof, discovering single axioms, locating improved axiom systems, and simplifying existing proofs. The last application is directly pertinent to the recently found (by R.more » Thiele) Hilbert's twenty-fourth problem--which is extremely amenable to attack with the appropriate automated reasoning program, a problem concerned with proof simplification. The methodologies include those for seeking shorter proofs and for finding proofs that avoid unwanted lemmas or classes of term, a specific option for seeking proofs with smaller equational or formula complexity, and a different option to address the variable richness of a proof. The type of proof one obtains with the use of OTTER is Hilbert-style axiomatic, including details that permit one sometimes to gain new insights. We include questions still open and challenges that merit consideration.« less
  • Events occur daily that impact the health, security and sustainable growth of our society. If we are to address the challenges that emerge from these events, anticipatory reasoning has to become an everyday activity. Strong advances have been made in using integrated modeling for analysis and decision making. However, a wider impact of predictive analytics is currently hindered by the lack of systematic methods for integrating predictive inferences from computer models with human judgment. In this paper, we present a predictive analytics approach that supports anticipatory analysis and decision-making through a concerted reasoning effort that interleaves human judgment and automatedmore » inferences. We describe a systematic methodology for integrating modeling algorithms within a serious gaming environment in which role-playing by human agents provides updates to model nodes and the ensuing model outcomes in turn influence the behavior of the human players. The approach ensures a strong functional partnership between human players and computer models while maintaining a high degree of independence and greatly facilitating the connection between model and game structures.« less
  • The Interactive Theorem Prover (ITP), an environment that supports research into the theory and application of automated reasoning, is described. ITP is an interactive system providing convenient access to and control of the many inference mechanisms of Logic Machine Architecture (LMA), described elsewhere. LMA itself has been substantially enhanced since the last report on its status, and we describe here some of the enhancements, particularly the addition of a tightly-coupled logic programming component, which provides an integration of the theorem-proving and logic programming approaches to problems represented in the predicate calculus. 9 references.