Donald Michie

Donald Michie FRSE FBCS (pronounced /'mikɪ/; 11 November 1923 – 7 July 2007)[5][6][7] was a British researcher in artificial intelligence.[8] During World War II, Michie worked for the Government Code and Cypher School at Bletchley Park, contributing to the effort to solve "Tunny", a German teleprinter cipher.

Donald Michie

Donald Michie in 1987 at The Turing Institute
Born(1923-11-11)11 November 1923
Rangoon, Burma
Died7 July 2007(2007-07-07) (aged 83)
England
NationalityBritish
CitizenshipUnited Kingdom
EducationRugby School
Alma materBalliol College, Oxford
Known forArtificial intelligence
Scientific career
FieldsArtificial intelligence
Institutions
Doctoral students
Websitewww.aiai.ed.ac.uk/~dm

Early life and education

Michie was born in Rangoon, Burma.[9] He attended Rugby School and won a scholarship to study classics at Balliol College, Oxford. In early 1943, however, looking for some way to contribute to the war effort, Michie instead attempted to enroll on a Japanese language course in Bedford for intelligence officers. On arrival, it transpired that he had been misinformed, and instead he trained in cryptography,[10] displaying a natural aptitude for the subject. Six weeks later, he was recruited to Bletchley Park and was assigned to the "Testery", a section which tackled a German teleprinter cipher.[11] During his time at Bletchley Park he worked with Alan Turing, Max Newman and Jack Good. Between 1945 and 1952 he studied at Balliol College, Oxford; he received his Doctor of Philosophy degree for research in mammalian genetics, in 1953.[9]

Career and research

In 1960, he developed the Matchbox Educable Noughts And Crosses Engine (MENACE), one of the first programs capable of learning to play a perfect game of Tic-Tac-Toe. Since computers were not readily available at this time, Michie implemented his program with about 304 matchboxes, each representing a unique board state. Each matchbox was filled with coloured beads, each representing a different move in that board state. The quantity of a colour indicated the "certainty" that playing the corresponding move would lead to a win. The program was trained by playing hundreds of games and updating the quantities of beads in each matchbox depending on the outcome of each game.[12]

Michie was director of the University of Edinburgh's Department of Machine Intelligence and Perception (previously the Experimental Programming Unit) from its establishment in 1965. The machine intelligence unit predated the university's computer science unit. He remained at Edinburgh until 1985,[13] when he left to found The Turing Institute in Glasgow.[14] Active in the research community into his eighties, he devoted the last decade of his life to the UK charity The Human Computer Learning Foundation, and worked with Stephen Muggleton, Claude Sammut, Richard Wheeler, and others on natural language systems and theories of intelligence. In 2007 he was completing a series of scientific articles on the Sophie Natural Language System and a book manuscript entitled "Jehovah's Creatures". Michie invented the memoisation technique.[15] He was founder and Treasurer of the Human-Computer Learning Foundation, a charity registered in the UK.[8]

Awards and honours

He was awarded numerous fellowships and honours during his career including:

Personal life

Michie was married three times, the second to biologist Anne McLaren from 1952 to 1959. He had four children, one by his first wife, and three by Prof. McLaren, including economist Jonathan Michie and health psychologist Susan Michie. Michie and McLaren remained friends after their divorce, and became close again after the death of his third wife. On 7 July 2007 Michie and McLaren were killed in a car crash, while travelling from Cambridge to London.[7]

Legacy

The Donald Michie Papers are housed at the British Library. The papers can be accessed through the British Library catalogue.[18]

References

  1. Blake, Andrew (1984). Parallel computation in low-level vision (PhD thesis). University of Edinburgh. hdl:1842/6632. OCLC 56326330. EThOS uk.bl.ethos.347976.
  2. Muggleton, Stephen (1987). Inductive acquisition of expert knowledge (PhD thesis). University of Edinburgh. hdl:1842/8124. EThOS uk.bl.ethos.379389.
  3. Plotkin, Gordon (1972). Automatic methods of inductive inference (PhD thesis). University of Edinburgh. hdl:1842/6656. EThOS uk.bl.ethos.482992.
  4. Tate, Brian Austin (1975). Using goal structure to direct search in a problem solver (PhD thesis). University of Edinburgh. hdl:1842/6650.
  5. Muggleton, Stephen (10 July 2007). "Donald Michie". London: The Guardian. Retrieved 10 July 2007.
  6. Boden, M. (2007). "Obituary: Donald Michie (1923–2007)". Nature. 448 (7155): 765. Bibcode:2007Natur.448..765B. doi:10.1038/448765a. PMID 17700692.
  7. Anon (8 July 2007). "Academic pair killed in car crash". BBC News. Retrieved 8 July 2007.
  8. "Donald Michie home page". www.aiai.ed.ac.uk.
  9. Michie, Donald. "Curriculum Vitae". Retrieved 8 July 2007.
  10. Michie, Donald in Copeland, Jack G. (2006). Colossus the secrets of Bletchley Park's codebreaking computers. Oxford: Oxford University Press. p. 223. ISBN 0-19-284055-X.
  11. Budiansky, Stephen in Copeland, Jack G. (2006). Colossus the secrets of Bletchley Park's codebreaking computers. Oxford: Oxford University Press. p. 60. ISBN 0-19-284055-X.
  12. Experiments on the mechanization of game-learning by Donald Michie
  13. Special Minute of Senatus, University of Edinburgh, 23rd Jan., 1985
  14. BBC Micro Live 1987 final programme features a short interview with him as director of The Turing Institute, Glasgow.
  15. Memo functions: a language feature with 'rote-learning' properties. Edinburgh: Department of Machine Intelligence & Perception. 1967. Research Memorandum MIP-R-29.
  16. "Michie, Prof. Donald", Who's Who. doi:10.1093/ww/9780199540884.013.U27380.(subscription required)
  17. "Donald Michie". Slovenian Academy of Sciences and Arts. Retrieved 14 October 2020.
  18. Donald Michie Papers, archives and manuscripts catalogue, the British Library. Retrieved 15 May 2020
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