KES 2006: Invited Session

Call for Papers & Participation:

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)


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): 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 conference proceedings will be published by Springer-Verlag in Lecture Notes in AI as part of the LNCS/LNAI series. Please refer to the Instructions for Authors which must be strictly followed. All oral and poster papers must be presented by one of the authors who must register and pay fees.

Please note that papers should be no longer than 8 pages. Papers longer than this will be subject to an additional page charge. For further details, please refer to the KES Submission page.

For the draft paper, Springer requires a pdf version of your paper, formatted according to above instructions. To submit to the "Evolutionary and Self-Organizing Sensors, Actuators and Processing Hardware" (ESOSAPH) session, make sure you submit the paper at the invited session page, invited session number 47. If you have any questions, please contact the session chairs.

Last changed at Tue Sep 18 16:28:26 2018 by D. Polani