Pat Hayes

For other people named Pat Hayes, see Pat Hayes (disambiguation).
Patrick John Hayes
Born (1944-08-21) 21 August 1944
Newent, Gloucestershire, UK
Residence US
Citizenship UK
Fields Computer Science
Institutions Florida Institute for Human & Machine Cognition
University of Cambridge
University of Edinburgh
University of Illinois at Urbana-Champaign
University of Rochester
University of Essex
Alma mater University of Edinburgh (postgraduate)
University of Cambridge (undergraduate)
Thesis Semantic trees: new foundations for automatic theorem proving (1975)
Doctoral advisor Bernard Meltzer[1]
Doctoral students Anthony Cohn
Jörg Siekmann[1]
Known for Naive Physics Manifesto[2][3]
Influences John McCarthy
Notable awards FAAAI
Website
ihmc.us/groups/phayes

Patrick John Hayes FAAAI (born 21 August 1944) is a British computer scientist who lives and works in the United States. As of March 2006, he is a Senior Research Scientist at the Institute for Human and Machine Cognition in Pensacola, Florida.[4]

Education

He received a Bachelor of Arts degree in Mathematics (the Cambridge Mathematical Tripos) from the University of Cambridge and a PhD in Artificial Intelligence from the University of Edinburgh.[5]

Career

Pat Hayes has been an active, prolific, and influential figure in Artificial Intelligence for over five decades.[4][6][7][8][9][10] He has a reputation for being provocative but also quite humorous.

One of his earliest publications, with John McCarthy, was the first thorough statement of the basis for the AI field of logical knowledge representation, introducing the notion of situation calculus, representation and reasoning about time, fluents, and the use of logic for representing knowledge in a computer.[11][12]

His next major contribution was the seminal work on "Naive Physics Manifesto",[2] which anticipated the expert systems movement in many ways and called for researchers in AI to actually try to represent knowledge in computers. Although not the first to mention the word "ontology" in computer science (that distinction belongs to John McCarthy ), Hayes was one of the first to actually do it, and inspired an entire generation of researchers in knowledge engineering, logical formalisations of commonsense reasoning, and ontology.

In the middle 1990s, while serving as president of AAAI, Hayes began a series of attacks on critics of AI, mostly phrased in an ironic light, and (together with his colleague Kenneth Ford) invented an award named after Simon Newcomb to be given for the most ridiculous argument "disproving" the possibility of AI. The Newcomb Awards are announced in the AI Magazine published by AAAI.

At the turn of the century he became active in the Semantic Web community, contributing substantially (perhaps solely) to the revised semantics of RDF known as RDF-Core, one of the three designers (along with Peter Patel-Schneider and Ian Horrocks[13]) of the Web Ontology Language semantics, and most recently contributed to SPARQL. He is also, along with philosopher Christopher Menzel the primary designer of the ISO Common Logic standard.

He has been secretary of AISB, chairman and trustee of IJCAI, associate editor of Artificial Intelligence Journal, a governor of the Cognitive Science Society and president of American Association for Artificial Intelligence. Hayes is a charter Fellow of AAAI and of the Cognitive Science Society

According to his website, his current research interests include "knowledge representation and automatic reasoning, especially the representation of space and time; the semantic web; ontology design; and the philosophical foundations of AI and computer science".

References

  1. 1 2 Pat Hayes at the Mathematics Genealogy Project
  2. 1 2 The naive physics manifesto in Michie, Donald (1979). Expert systems in the micro-electronic age. Edinburgh: Edinburgh University Press. ISBN 0-85224-381-2.
  3. ↑ Hayes, Patrick (1995). "The second naive physics manifesto". Computation & intelligence: 567–585. ISBN 0262621010.
  4. 1 2 Patrick J. Hayes at DBLP Bibliography Server
  5. ↑ Hayes, Patrick John (1975). Semantic trees: new foundations for automatic theorem proving (PhD thesis). University of Edinburgh.
  6. ↑ Hayes, P.; Eskridge, T. C.; Saavedra, R.; Reichherzer, T.; Mehrotra, M.; Bobrovnikoff, D. (2005). "Collaborative knowledge capture in ontologies". Proceedings of the 3rd international conference on Knowledge capture - K-CAP '05. p. 99. doi:10.1145/1088622.1088641. ISBN 1595931635.
  7. ↑ Carroll, J. J.; Bizer, C.; Hayes, P.; Stickler, P. (2005). "Named graphs, provenance and trust". Proceedings of the 14th international conference on World Wide Web - WWW '05. p. 613. doi:10.1145/1060745.1060835. ISBN 1595930469.
  8. ↑ Clark, P.; Hayes, P.; Reichherzer, T.; Thompson, J.; Barker, K.; Porter, B.; Chaudhri, V.; Rodriguez, A.; Thomere, J.; Mishra, S.; Gil, Y. (2001). "Knowledge entry as the graphical assembly of components". Proceedings of the international conference on Knowledge capture - K-CAP 2001. p. 22. doi:10.1145/500737.500745. ISBN 1581133804.
  9. ↑ Carroll, J. J.; Bizer, C.; Hayes, P.; Stickler, P. (2005). "Named graphs". Web Semantics: Science, Services and Agents on the World Wide Web. 3 (4): 247. doi:10.1016/j.websem.2005.09.001.
  10. ↑ Jensen, C. S.; Dyreson, C. E.; Böhlen, M.; Clifford, J.; Elmasri, R.; Gadia, S. K.; Grandi, F.; Hayes, P.; Jajodia, S.; Käfer, W.; Kline, N.; Lorentzos, N.; Mitsopoulos, Y.; Montanari, A.; Nonen, D.; Peressi, E.; Pernici, B.; Roddick, J. F.; Sarda, N. L.; Scalas, M. R.; Segev, A.; Snodgrass, R. T.; Soo, M. D.; Tansel, A.; Tiberio, P.; Wiederhold, G. (1998). "The consensus glossary of temporal database concepts — February 1998 version". Temporal Databases: Research and Practice. Lecture Notes in Computer Science. 1399. p. 367. doi:10.1007/BFb0053710. ISBN 3-540-64519-5.
  11. ↑ Shanahan, Murray (1997). Solving the frame problem: a mathematical investigation of the common sense law of inertia. MIT Press. p. 45. ISBN 978-0-262-19384-9. Retrieved 12 November 2010.
  12. ↑ Hayes, Patrick J.; John McCarthy (1969). "Some philosophical problems from the standpoint of artificial intelligence". Machine Intelligence. 4: 463–502.
  13. ↑ Fikes, R.; Hayes, P.; Horrocks, I. (2004). "OWL-QL—a language for deductive query answering on the Semantic Web". Web Semantics: Science, Services and Agents on the World Wide Web. 2: 19. doi:10.1016/j.websem.2004.07.002.
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