KES 2006: Invited Session
Introduction
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.
Topics
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 output
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 |
Submission
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 Fri Aug 3 15:22:42 2012 by D. Polani