Geoff Sutcliffe

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Geoff Sutcliffe
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Geoff Sutcliffe
Born (1961-10-28) October 28, 1961 (age 61)
Ndola, Zambia
Nationality Australian, British
Alma mater
Known for TPTP, CASC
Scientific career
Fields
Institutions

Geoff Sutcliffe is a US-based computer scientist working in the field of automated reasoning. He was born in the former British colony of Northern Rhodesia (now Zambia), grew up in South Africa, and earned his PhD in Australia. Sutcliffe currently works at the University of Miami, and is of both British and Australian nationality. [1]

Geoff Sutcliffe is the developer of the Thousands of Problems for Theorem Provers (TPTP) problem library, and of the TPTP language for formal specification of Automated theorem proving problems and solutions. Since 1996 he has been organizing the annual CADE ATP System Competition (CASC), associated with the Conference on Automated Deduction and International Joint Conference on Automated Reasoning. He has been a co-organizer of several Automated reasoning challenges, including the Modal Logic $100 Challenge, [2] the MPTP $100 Challenges, [3] and the SUMO $100 Challenges. [4] :139 Together with Stephan Schulz, Sutcliffe founded and has been organizing the ES* Workshop series, [5] a venue for presentation and publishing of practically oriented Automated Reasoning research.

Related Research Articles

Automated theorem proving is a subfield of automated reasoning and mathematical logic dealing with proving mathematical theorems by computer programs. Automated reasoning over mathematical proof was a major impetus for the development of computer science.

Proof theory is a major branch of mathematical logic and theoretical computer science within which proofs are treated as formal mathematical objects, facilitating their analysis by mathematical techniques. Proofs are typically presented as inductively-defined data structures such as lists, boxed lists, or trees, which are constructed according to the axioms and rules of inference of a given logical system. Consequently, proof theory is syntactic in nature, in contrast to model theory, which is semantic in nature.

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The Suggested Upper Merged Ontology (SUMO) is an upper ontology intended as a foundation ontology for a variety of computer information processing systems. SUMO defines a hierarchy of classes and related rules and relationships. These are expressed in a version of the language SUO-KIF, a higher-order logic that has a LISP-like syntax, as well as the TPTP family of languages. A mapping from WordNet synsets to SUMO has been defined. Initially, SUMO was focused on meta-level concepts, and thereby would lead naturally to a categorization scheme for encyclopedias. It has now been considerably expanded to include a mid-level ontology and dozens of domain ontologies.

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Paradox is a finite-domain model finder for pure first-order logic (FOL) with equality developed by Koen Lindström Claessen and Niklas Sörensson at the Chalmers University of Technology. It can a participate as part of an automated theorem proving system. The software is primarily written in the Haskell programming language. It is released under the terms of the GNU General Public License and is free.

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Carew Arthur Meredith, usually cited as C. A. Meredith, was an influential Irish logician, who worked in Trinity College, Dublin from 1943 to 1964. His work on condensed detachment is influential in modern research.

In computer science, in particular in knowledge representation and reasoning and metalogic, the area of automated reasoning is dedicated to understanding different aspects of reasoning. The study of automated reasoning helps produce computer programs that allow computers to reason completely, or nearly completely, automatically. Although automated reasoning is considered a sub-field of artificial intelligence, it also has connections with theoretical computer science and philosophy.

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Charles Gregory Nelson was an American computer scientist.

<span class="mw-page-title-main">Andrei Voronkov</span>

Andrei Anatolievič Voronkov is a Professor of Formal methods in the Department of Computer Science at the University of Manchester.

TPTP is a freely available collection of problems for automated theorem proving. It is used to evaluate the efficacy of automated reasoning algorithms. Problems are expressed in a simple text-based format for first order logic or higher-order logic. TPTP is used as the source of some problems in CASC.

Deepak Kapur is a Distinguished Professor in the Department of Computer Science at the University of New Mexico.

References

  1. "Curriculum Vitae, Geoff Sutcliffe". Department of Computer Science, University of Miami. 2021. Retrieved February 10, 2021.
  2. Sutcliffe, Geoff (2007). "The Modal Logic $100 Challenge". The TPTP Problem Library for Automated Theorem Proving. Archived from the original on March 4, 2007. Retrieved April 2, 2021.
  3. Urban, Josef; Sutcliffe, Geoff (July 16, 2007). "The MPTP $100 Challenges". The TPTP Problem Library for Automated Theorem Proving. Retrieved April 2, 2021.
  4. Adam, Pease; Geoff, Sutcliffe; Nick, Siegel; Steven, Trac (2010). "Large theory reasoning with SUMO at CASC". AI Communications. 2–3 (2–3): 137–144. doi:10.3233/AIC-2010-0466.
  5. "Empirically Successful Topics in Automated Deduction workshop series". Archived from the original on February 6, 2010. Retrieved December 10, 2009.