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Extended Deadline for Evolution of Sensors at KES (ESOSAPH) Session

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  • Daniel Polani
    Dear Colleagues, please note that the deadline for the ESOSAPH session (Evolutionary and Self-Organizing Sensors, Actuators and Processing Hardware) at KES
    Message 1 of 1 , Mar 2, 2006
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      Dear Colleagues,

      please note that the deadline for the ESOSAPH session (Evolutionary
      and Self-Organizing Sensors, Actuators and Processing Hardware) at KES
      2006 has been extended to the 11. March! Please find enclosed the
      updated call.

      - Daniel Polani and Mikhail Prokopenko


      3nd Call for Papers & Participation:
      (Extended Deadline)

      Evolutionary and Self-Organizing Sensors,
      Actuators and Processing Hardware

      Invited Session at

      KES 2006

      Tenth International Conference on
      Knowledge-Based Intelligent Information & Engineering Systems

      9-11. October 2006, Bournemouth, UK


      Program Chairs

      Daniel Polani (University of Hertfordshire, UK)
      Mikhail Prokopenko (CSIRO, Australia)

      Session website: http://homepages.feis.herts.ac.uk/~comqdp1/kes_2006.html



      Recent technology has witnessed the advent of cheap ubiquitous
      sensing, processing and actuating capabilities for isolated,
      distributed or collective robotic systems. These appear in the form of
      intelligent materials, nano-motors and -sensors,
      Micro-Electro-Mechanical Systems (MEMS), grid processors,
      Avogadro-scale digital circuits and similar structures. Established
      conventional AI computation paradigms do not harness the full
      potential of this new type of technological ability that includes
      dynamic reconfiguration, addition or removal of sensors, actuators or
      processing hardware. Classical AI paradigms are inadequate to deal
      with the requirements of these scenarios which require flexible and
      adaptive acquisition, manipulation and distribution of information as
      opposed to sterile off-line AI software designs detached from concrete
      usage scenarios.

      One is confronted with the necessity to adapt sensoric properties
      and/or configuration to a situation or task at hand, discovery of new
      sensoric modalities,the use of newly added actuators in novel ways,
      the necessity of reconfiguring computational hardware after being
      damaged, and much more. What all these requirements have in common is
      that, in general, there cannot be a full a priori appreciation of the
      possible scenarios that can occur during the lifetime of the involved
      hardware and software.

      On the other hand, biological systems are capable to tackle such
      problems on a regular basis. E.g. the recovery of functionality in
      experiments where sensoric or neural tissues are transplanted to other
      than the original locations show that biological systems have a
      powerful potential to reconfigure their "hardware" and "software" to
      suit the relevant situation. Biologically inspired approaches, e.g.
      evolutionary and neural methods, as well as self-organization to
      tackle these challenges, have been increasingly found to be fruitful.
      Evolutionary sensorics, self-organizing controllers, neural strategies
      have all provided new insights, methodologies, towards the achievement
      of self- and externally modified sensomotoric loops.

      Solving these problems has an enormous potential: it would allow the
      construction of robust, cheap autonomous vehicles, sensor/actuator
      networks consisting of a large number of autonomous sensor/actuator
      units ('agents') that interact with each other to obtain the best
      results. It would open the way to apply novel sensing/actuation
      materials for the construction of agents because the self-organized
      adaptation mechanisms would be able to deal with the novelty.

      Call for Contributions

      We solicit papers for poster or oral presentations (20 minute talk)
      reporting working in this exciting area. Talks should address an
      interdisciplinary audience, but may nevertheless deal with issues at
      the cutting edge of research.


      Possible topics for the invited session are or involve (this is not an
      exhaustive list and other relevant topics may be covered):

      * evolution or self-organization of physical sensors and actuators
      (artificial, bio-inspired, and biological)
      * abstract models for the evolution, self-organization and
      adaptation of sensors, actuators and processing, and for detection
      of emergent behaviour
      * evolution of controllers (including, but not limited to neural or
      cellular architectures)
      * self-monitoring and self-repair of damaged sensoric, computational
      and communication architectures
      * self-organization in sensomotoric loops
      * self-organized adaptive communication (e.g. mechanisms for the
      emergence of communication protocols)
      * evolution or self-organized modularity and hierarchies
      * identification of relevant information and features in sensoric
      input and of relevant behaviours and activities in actuatoric

      If you are unsure whether your topic is adequate for submission to the
      session, please contact the program chairs.

      Important Dates

      Submission of papers: 11. March 2006 (Extended!)
      Notification of acceptance: 15. April 2006



      The submission should be no longer than 8 pages in Springer
      format. Please refer to the session website


      for details.


      Program Committee

      Hussein Abbass UNSW-ADFA, Australia
      Andrew Adamatzky UWE, UK
      Peter Dauscher University of Mainz, Germany
      Attila Egri-Nagy University of Hertfordshire, UK
      Hod Lipson Cornell University, USA
      Chrystopher Nehaniv University of Hertfordshire, UK
      David Payton Hughes Research Labs, USA
      Don Price CSIRO, Australia
      William Prosser NASA LaRC, USA
      Claude Sammut UNSW, Australia
      Susan Stepney University of York, UK
      Ivan Tanev Doshisha University, Japan
      Alexander Tarakanov Academy of Sciences, Russia
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