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Dr Michael Wayne Barley

BA in Mathematics (UC San Diego), MSc in Cybernetics (Brunel University, UK), PhD in Computer Science (Rutgers University, USA)

Biography

I was born in Denver, Colorado and after many detours went to San Diego for primary and intermediate schooling. I attended Central High School in London and did my undergraduate work at the University of California at San Diego. I received an MSc in Cybernetics from Brunel University in England and my PhD in Computer Science from Rutgers University in the US.

I worked for the Burroughs Corporation for most of the '70s, and for the Boeing Company before coming to the University of Auckland in 1997.

Research | Current

My primary research focuses on adaptive problem solving.  Specifically developing problem solvers that dynamically select the problem solving methods, problem representations, and search control knowledge that seem most likely to solve a given problem in the shortest amount of time. 

 

My secondary research interests are heuristic search in general, and more specifically bidirectional heuristic search.

Teaching | Current

Office Hours: arrange meetings by email

Postgraduate supervision

Teererai Marange

Responsibilities

Head of the Intelligent Systems & Informatics Research Group

Departmental Seminar Coordinator

 

Areas of expertise

Artificial Intelligence in general, and specifically automated problem solving and domain-independent planning.

Selected publications and creative works (Research Outputs)

As of 29 October 2020 there will be no automatic updating of 'selected publications and creative works' from Research Outputs. Please continue to keep your Research Outputs profile up to date.
  • Alcázar, V, Riddle, P., & Barley, M. (2020). A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search. AAAI Press 2020, 2327-2334. New York, NY, USA. Related URL.
    Other University of Auckland co-authors: Patricia Riddle
  • Langley, P., Barley, M., & Meadows, B. (2018). Adaptive search in a hierarchical problem-solving architecture. Advances in Cognitive Systems, 6, 251-251. Stanford, California, USA: Cognitive Systems Foundation. Related URL.
  • Barley, M., Riddle, P., Linares López C, Dobson, S., & Pohl, I. (2018). GBFHS: A Generalized Breadth-First Heuristic Search Algorithm. Paper presented at The Eleventh Annual Symposium on Combinatorial Search, Stockholm, Sweden. 14 July - 15 July 2018. Proceedings of the Eleventh Annual Symposium on Combinatorial Search (SOCS 2018). (pp. 9). Related URL.
    Other University of Auckland co-authors: Patricia Riddle
  • Fuentetaja1, R., Barley, M., Borrajo, D., Douglas, J., Franco, S., & Riddle, P. (2018). Meta-search through the space of representations and heuristics on a problem by problem basis. Paper presented at AAAI 2018, New Oreans. 2 February - 7 February 2018. Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence.
    Other University of Auckland co-authors: Patricia Riddle
  • Fuentetaja, R., Barley, M. W., Borrajo, D., Douglas, J., Franco, S., & Riddle, P. (17/6/2017). Meta-search through the space of representations and heuristics on a problem by problem basis. Poster presented at SoCS 2017: The 10th Annual Symposium on Combinatorial Search, Pittsburgh, Pennsylvania, USA.
    Other University of Auckland co-authors: Patricia Riddle
  • Franco, S., Torralba Á, Lelis, L. H. S., & Barley, M. (2017). On creating complementary pattern databases. IJCAI International Joint Conference on Artificial Intelligence, 4302-4309. Melbourne, Australia: International Joint Conferences on Artificial Intelligence.
    URL: http://hdl.handle.net/2292/45486
  • Riddle, P., Douglas, J., Barley, M., & Franco, S. (2016). Improving performance by reformulating PDDL into a bagged representation. Paper presented at Workshop on Heuristics and Search for Domain-independent Planning (HSDIP), London, England, UK. 13 June - 13 June 2016. Proceedings of the 8th Workshop on Heuristics and Search for Domain-independent Planning (HSDIP).
    Other University of Auckland co-authors: Patricia Riddle, Jordan Douglas
  • Lelis, L., Franco, S., Abisrror, M., Barley, M., Zilles, S., & Holte, R. (2016). Heuristic subset selection in classical planning. In S. Kambhampati (Ed.) IJCAI International Joint Conference on Artificial Intelligence, 2016-January, 3185-3191. New York, New York, USA.
    URL: http://hdl.handle.net/2292/49762

Identifiers

Contact details

Primary office location

SCIENCE CENTRE 303S - Bldg 303S
Level 4, Room 488
38 PRINCES ST
AUCKLAND 1010
New Zealand

Web links