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Research Group Founders
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Mr Sean Howard
Industry Fellow and Project Sponsor
Sean Howard is an Australian entrepreneur and co-founder of OzEmail
(along with Malcolm Turnbull and Trevor Kennedy) -
at one time Australia's largest Internet
company. In the 1980s Howard developed
the email service, Microtex. He also founded
Australian Personal Computer,
Australia's top-selling computer magazine. In 2000 Howard joined the
board of the telco Optus. As of 2005 he was
a non-executive director of the WebCentral
Group, a web and application hosting
company. Sean joins the UQ Fluid Analogies
group with a wealth of industry experience and a deep
passion for understanding and modelling the mind.
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Dr Scott Bolland
Senior Research FellowScott's
interest for computational modelling began over 20 years
ago, although the opportunities for studying Cognitive
Science formally did not exist until much later. In
1993, Scott officially started a Cognitive Science degree at
the University of Queensland, for which he received a
University Medal for academic excellence. For his
Honour's project, Scott implemented a java based version of
the Copycat program (a computational model of analogy-making
and high-level perception) that provided him with a deep
appreciation of the issues involved in modelling high-level
cognition. For his PhD, Scott continued this line of
work, developing the Fluid Analogies Engine (FAE) - a
generic model of high-level cognition, capable of
problem-solving, analogy-making and creativity. Scott
is delighted to be in the current position where he can
continue and extend upon this work. |
Affiliated Researchers
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Professor Janet Wiles Professor
Wiles is currently chief investigator in the "Thinking
Systems" project within the Division of Complex &
Intelligent Systems. Jointly funded by the Australian Research Council
(ARC) and the National Health and Medical
Research Council (NHMRC), the $3.3 million
“Thinking Systems” project brings together specialists in
neuroscience, artificial intelligence, robotics and computer
science, to study how brains understand spatial systems,
both physical and conceptual. With an extensive
background in computational neuroscience, evolutionary
computation and machine learning, Janet's expertise and
insights are and will be of great benefit to the Fluid Analogies
project.
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Professor Jason Mattingly
An internationally acclaimed neuroscientist,
Professor Mattingly is currently Foundation Chair in
Cognitive Neuroscience at The University of Queensland. This
is a joint appointment between the Queensland Brain
Institute and the School of Psychology, the aim of which is
to foster the development of research and teaching links
between the disciplines of neuroscience and cognitive
science. As one of the main aims of the Fluid
Analogies project is to understand and model the brain
mechanisms involved in high-level cognitive functioning,
Jason's background in cognitive neuroscience and functional
brain imaging techniques is invaluable in the development of
such ideas.
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Dr Marcus Gallagher Dr
Gallagher is a senior
lecturer in the School of Information Technology and
Electrical Engineering at The University of Queensland. His
research interests include Metaheuristics and Evolutionary
Computation, Machine Learning, Optimization and the
Visualization of high-dimensional data. As a large
part of the Fluid Analogies project will involve the
implementation of learning (unsupervised, supervised and
evolutionary), Marcus' expertise in this area is of
great benefit. |
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Dr Peter Stratton
Dr Stratton is a Research Fellow in the Thinking Systems
project, jointly in the Queensland Brain Institute and
School of Information Technology and Electrical Engineering
at The University of Queensland. Peter completed his
PhD in 2001, developing a novel unsupervised hierarchical
learning algorithm for the neocortex. Affiliation with
the Fluid Analogies group will enable Peter to continue this
line of research, in the development of self-organising
computational architectures based on the neocortex that can learn to perform a wide
range of cognitive competencies (such as vision, motor
control, prediction and language). |
PhD Students
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