ANDREW JAMES SMITH 109 Bond St. North, Hamilton, Ontario, Canada, L8S 3W4 http://www.psychology.mcmaster.ca/beckerlab/smitha/ Tel. 905-527-1850, 905-525-9140 ext. 24832 andys "at" mcmaster.ed.ac.uk Date of Birth: 12 August 1975 Nationality: British Education and Qualifications 1998 - Present University of Edinburgh Institute for Adaptive & Neural Computation (http://www.anc.ed.ac.uk/) Ph.D. in Artificial Intelligence "Dynamic Generalisation of Continuous Action Spaces in Reinforcement Learning: A Neurally Inspired Approach". 1996 - 1997 University of Edinburgh Centre for Cognitive Science (http://www.cogsci.ed.ac.uk/) M.Sc. in Cognitive Science Class: Distinction 1993 - 1996 University of Kent at Canterbury B.Sc. (Hons.) in Computer Science Class: First 1991 - 1993 Solihull Sixth Form College A Levels: Mathematics: Grade A Computing: Grade A 1986 - 1991 Arden School, Knowle, Solihull Nine GCSEs Extension Mathematics: Distinction Relevant Experience 1998 - 1999 University of Edinburgh Tutoring various logic courses. 1997 - 1998 IBM, Winchester Software developer on a product called MQSeries, designed to provide consistent and secure cross-platform communication. Worked with Unix (Solaris, AIX, HP), Windows NT and OS2. 1995/96 (Summer) Root Solutions, Cambridge Software developer. Additional Information My current research interests lie in understanding, engineering and modelling adaptive systems, both natural and artificial. My Ph.D. thesis addresses the issue of adapting real-valued actions in reinforcement learning tasks, with a particular emphasis on the use of unsupervised learning. My academic background is broad, drawing on computer science, cognitive science and artificial intelligence, and I am interested in focusing on research within any of these areas. Study programmes that I have enjoyed include neural computation, cognitive psychology, natural language processing, and logic. During my postgraduate studies I tutored three logic courses on topics including first order logic, computability, GÖdel's incompleteness theorems, Montague semantics and natural deduction, and also proposed and joint supervised an M.Sc. project on an application of genetic algorithms to robot learning. I have been involved in a number of software engineering projects within both commercial and academic environments, and am familiar with a range of programming languages from C and C++, to Visual Basic, Pascal and Delphi, Matlab, Prolog (logic), Fortran (scientific), Miranda (functional), Occam (parallel), and 68000 assembler. Experienced with both Unix and Windows. Activities and Interests My other interests include music, mountaineering, squash, skiing and short story writing. I enjoy playing the piano, hiking in the Scottish Highlands, and have made a number of other trips to the Alps, Rockies, and more recently the Himalaya where our expedition climbed the highest trekking peak in Asia. Referees Professor David Willshaw Head of Institute Adaptive & Neural Computation 5 Forrest Hill University of Edinburgh david@anc.ed.ac.uk +44 (0)131 650 4404 Dr Gillian Hayes Senior lecturer Perception, Action & Behaviour Dept. of Artificial Intelligence University of Edinburgh gmh@dai.ed.ac.uk +44 (0)131 650 3082 Dr Paul Schweizer Senior lecturer Division of Informatics 80 South Bridge University of Edinburgh pablo@dai.ed.ac.uk +44 (0)131 650 2704 Dr John Hallam Senior lecturer Perception, Action & Behaviour Dept. of Artificial Intelligence University of Edinburgh john@dai.ed.ac.uk