Geoff Sutcliffe

University of Natal
University of Western Australia

Known forTPTP, CASCScientific careerFields

Automated theorem proving (ATP)
Evaluation of ATP systems
Distributed and Parallel ATP systems

Institutions

University of Natal
University of Durban-Westville
Edith Cowan University
James Cook University
University of Miami

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.

References

^ "Curriculum Vitae, Geoff Sutcliffe". Department of Computer Science, University of Miami. 2021. Retrieved February 10, 2021.
^ 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.
^ Urban, Josef; Sutcliffe, Geoff (July 16, 2007). "The MPTP $100 Challenges". The TPTP Problem Library for Automated Theorem Proving. Retrieved April 2, 2021.
^ 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.
^ "Empirically Successful Topics in Automated Deduction workshop series". Archived from the original on February 6, 2010. Retrieved December 10, 2009.