Biologically-inspired Machine Learning
A workshop during ACAI-99, 14-15 July 1999, Crete, Greece
*** Note extended deadline for submissions: 15 March 1999 ***
Final Call for Papers and Participation
The BIML workshop will take place during two afternoon sessions
(July 14th and 15th) of ACAI-99, which will take place between
5-16 July 1999, at Chania in the island of Crete, Greece. It will
consist of invited and contributed talks, and several panel and
small-group discussions to encourage a genuinely interactive
The biologically-inspired machine learning approach is attractive
not only as a methodology for the development and testing of
theories of learning in biological systems, but also as an
approach for the design of practical machine learning systems. The
research methodology of this approach fuses techniques from
several disciplines, including Artificial Intelligence, Cognitive
Science, Psychology, Neuroscience, Simulation/Modelling, and
Robotics. It is the intention of this workshop to examine the
interplay between biological and artificial learning, illuminate
the commonalities and differences, and lead to a fruitful exchange
of ideas and techniques. Topics of interest include but are not
* modelling of cognitive, perceptual and motor development and
adaptation in humans and animals
* modelling of learning in infants
* modelling of brain and cognitive disorders and recovery
* bio-inspired robot learning
* artificial neural networks
* evolutionary approaches to learning
* learning in social environments by observation, imitation and
* Frederic Alexandre, Cortex Group, INRIA-Lorraine/CRIN-CNRS,
* Luc Berthouze, Humanoid Interaction Laboratory, ETL, Japan.
* Andreas Birk, Artificial Intelligence Laboratory, VUB,
* Kerstin Dautenhahn, Department of Cybernetics, U. Reading,
* John Hallam, Institute of Perception, Action and Behaviour,
U. Edinburgh, UK.
* Gillian Hayes, Institute of Perception, Action and Behaviour,
U. Edinburgh, UK.
* Dolores Canamero, Artificial Intelligence Research Institute,
CSIC, Barcelona, Spain.
* Frederic Kaplan, Sony CSL, Paris, France.
* Risto Miikkulainen, Dept. of Computer Science, University of
Texas, Austin, USA
* Chrystopher Nehaniv, Interactive Systems Engineering Group,
U. Hertfordshire, UK.
* Stefan Schaal, Computational Learning and Motor Control Lab,
* Patrick van der Smagt, Institute of Robotics and System
Dynamics, German Aerospace Center, Germany.
Papers describing research in Biologically-inspired Machine
Learning are welcome. Submitted papers should be up to six A4
pages (two columns, single-spaced, body text size 10 pt), should
be in Postscript format, and should be sent by email to
biml at cogsci.ed.ac.uk. Papers should include full contact details
(including email address) and affiliation of authors. In addition
to regular papers, graduate students and other people interested
in participating in this workshop can send a summary of their
research work (max. two pages). All accepted full papers will be
included in the workshop proceedings. Selected summaries will be
included if space permits.
All participants of the ACAI-99 main event will be able to
participate in the workshop without extra cost. The registration
fee for attending the workshop only will be 150 ECU (to include
coffee breaks and the workshop's proceedings).
Please note that since the number of participants is limited,
priority will be given to people submitting full papers or short
Students can apply for grants to partially cover the expenses
associated with attending ACAI-99 (and the workshop). Grants from
ECCAI and from the ACAI organising committee are available. See
main ACAI page (under `registration') for more details.
March 15: deadline for submission of papers and research summaries.
March 30: notification of acceptance/rejection.
April 15: deadline for submission of final camera-ready manuscripts.
July 14-15:workshop in Greece.
Institute of Perception, Action and Behaviour
Division of Informatics
University of Edinburgh, 5 Forrest Hill, Edinburgh EH1 2QL,
E-mail: johnde at dai.ed.ac.uk
Institute for Adaptive and Neural Computation
Division of Informatics
University of Edinburgh, 2 Buccleuch Place, Edinburgh EH8 9LW,
E-mail: gert at cogsci.ed.ac.uk
WWW links with up-to-date information about BIBL and ACAI-99:
BIML workshop: http://www.cogsci.ed.ac.uk/~biml/