CALL FOR PARTICIPATION

[Jan Heemskerk]

		     CALL FOR PARTICIPATION

	      ** LEARNING IN ROBOTS AND ANIMALS **
                   An AISB-96 two-day workshop

University of Sussex, Brighton, UK: April, 1st & 2nd, 1996
Co-Sponsored by IEE Professional Group C4 (Artificial Intelligence)

WORKSHOP ORGANISERS:
Noel Sharkey (chair), University of Sheffield, UK.
Gillian Hayes, University of Edinburgh, UK.
Jan Heemskerk, University of Sheffield, UK.
Tony Prescott, University of Sheffield, UK.

PROGRAMME COMMITTEE:
Dave Cliff, UK.
Marco Dorigo, Italy.
Frans Groen, Netherlands.
John Hallam, UK.
John Mayhew, UK.
Martin Nillson, Sweden
Claude Touzet, France
Barbara Webb, UK.
Uwe Zimmer, Germany.
Maja Mataric, USA.


In the last five years there has been an explosion of research on
Neural Networks and Robotics from both a self-learning and an
evolutionary perspective. Within this movement there is also a growing
interest in natural adaptive systems as a source of ideas for the
design of robots, while robots are beginning to be seen as an
effective means of evaluating theories of animal learning and
behaviour.  A fascinating interchange of ideas has begun between a
number of hitherto disparate areas of research and a shared science of
adaptive autonomous agents is emerging.  This two-day workshop
proposes to bring together an international group to both present
papers of their most recent research, and to discuss the direction of
this emerging field.


PROVISION LIST OF PAPERS:
						
 	Robot Shaping - Priniciples, Methods & Architectures
  	Simon Perkins and Gillian Hayes

	Towards Autonomous Control using Connectionist
	'Infinite State Automata'
	Tom Ziemke

	Entropy-based Tradeoff between Exploration and Exploitation
	Ping Zhang and Stephane Canu

	Evolving a Hierarchical Control System for 
	Co-operating Autonomous Robots
	Robert Ghanea-Hercock & David P Barnes

	Evolutionary Learning of task achieving behaviours
	Myra S Wilson, Clive King and John E Hunt

	The design of learning for an artifact
	Joanna Bryson

	Robot See, Robot Do: An Overview of Robot Imitation
	Paul Bakker and Yasuo Kuniyoshi

	Does Dynamics Solve the Symbol Grounding Problem of Robots?
	An Experiment in Navigation Learning
	Jun Tani

	Abstracting Fuzzy Behavioural Rules From Geometric 
	Models in Mobile Robotics
	A G Pipe, Tc Fogarty and A Winfield

	Brave Mobots Use Representation
	Chris Thornton

	Explore/Exploit Strategies in Autonomous Learning
	Stewart W  Wilson

	Environment memory for a mobile robot using place cells
	Ken Harris, David Lee and Michael Recce

	Representations on a mobile robot
	Noel Sharkey and Jan Heemskerk

        Layered control architectures in natural and artificial systems
        Tony J Prescott


REGISTRATION INFORMATION:

http://www.cogs.susx.ac.uk:80/users/christ/aisb/aisb96/index.html
ftp ftp.cogs.susx.ac.uk