The Second Australasian Workshop on Computation in Cyber-Physical Systems
28 October 2011
A cyber-physical system (CPS) is a system coherently combining computational and physical elements. The combination is expected to produce not only a pre-defined and pre-optimised coupling, but also a high degree of coordination within the system. An example is symbiotic sensor/actuator networks which include agents recognising and forming relationships of mutual benefit across various types: e.g., stationary sensor nodes may assist navigation of robots, while being powered by the robots.
The CPS build up on knowledge and practical experiences of embedded systems, sensor networks, multi-robot teams, modular/swarm robotics, amorphous computing, programmable materials, evolvable/adaptive hardware, etc., and yet promise to form a unique field. Last year The First Australasian CompCPS-2010 Workshop focused on distributed computation in CPS - the computation processes that integrate multiple data streams, compress and structure high-dimensional information, synchronise the distributed dynamics, adapt to topological changes within networks, etc. We aim to continue these investigations, with an additional emphasis on Machine Learning technologies in CPS.
One of the fundamental questions of Machine Learning is “How can we build computer systems that automatically improve with experience, and what are the fundamental laws that govern all learning processes?” (Tom M. Mitchell, 2006). One may follow up with a similar question for CPS: “How can we build cyber-physical systems that automatically improve with experience, and what are the fundamental laws that govern these learning processes?”
Identification of foundational principles enabling systematic analysis, design and operation of adaptive CPS is an ambitious goal to which we hope to contribute at the Workshop.
The following topics are of special interest: information dynamics, guided self-organisation, evolutionary computation, complex networks and their evolution, self-organised criticality, sensor layout optimisation, intelligent control, Bayesian inference, neural networks, data mining and data fusion, modular robotics, swarm engineering, programmable materials, etc.
Anyone interested in participating in the workshop is encouraged to submit a two-page extended abstract by September 28, 2011. Notifications will be sent by October 14, 2011 to all those who will be invited to the workshop. All accepted submissions will be allocated an oral presentation slot. The workshop will include regular presentations based on the accepted abstracts, as well as invited presentations from:
- Prof. Martin Riedmiller (University of Freiburg, Germany)
- Dr. Thomas Nowotny (University of Sussex, UK)
The program includes 1 day, with two keynote talks (one in the morning and one in the afternoon), and regular presentations (30 minutes each).
09:00 – 09:15 Welcome and introduction
09:15 - 10:15 Martin Riedmiller (University of Freiburg, Germany), Keynote: "Neural Batch Reinforcement Learning"
10:15 - 10:30 Break
10:30 - 11:00 Rommel Ceguerra (University of Sydney, Australia), "Information storage and transfer in the synchronization process in locally-connected networks"
11:00 - 11:30 Benjamin Flecker (Indiana University, USA), "Partial Information Decomposition As A Spatiotemporal Filter"
11:30 - 12:00 Tuze Kuyucu (Doshisha University, Japan), "Restricting Bloat Reduces Evolvability"
12:00 - 13:30 Lunch break
13:30 - 14:30 Thomas Nowotny (University of Sussex, UK), Keynote: "Feature selection in artificial olfaction: A case study"
14:30 - 15:00 Stewart Heitmann (University of New South Wales, Australia), "Spatial Phase-of-Firing Patterns as a Cortical Encoding Scheme"
15:00 - 15:30 Astrid Zeman (Macquarie University, Australia), "The Müller-Lyer Illusion in a Computational Model of Object Recognition"
15:30 - 16:00 Break
16:00 - 16:30 Tuze Kuyucu (Doshisha University, Japan), "Pheromone-based Control of Swarm Robots for the Exploration of Unknown Environments"
16:30 - 17:00 X. Rosalind Wang (CSIRO, Australia), "Measuring Information Storage and Transfer in Swarms"
17:00 - 17:30 Jason Held (Saber Astronautics, USA-Australia) , "Space systems performance analysis for the predictive satellite controller"
17:30 - 18:00 Md. Shihanur Rahman (University of New South Wales, ADFA, Australia), "Agent Based Modelling in Power System Fault Analysis"
The workshop is registration-free and is open to researchers in Cyber-Physical Systems, though for practical considerations the total number of participants is limited to 50. If you are interested in attending, please send an email.
Also, there is a special issue on Guided Self-Organization in Advances in Complex Systems that may be of interest to the Workshop's participants.
Venue: CSIRO ICT Centre, Marsfield Lecture Theatre, Corner Vimiera and Pembroke Roads, Marsfield, NSW 2122.
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Abstract submission: September 28, 2011
Notification: October 14, 2011
Workshop: October 28, 2011
Dr. Mikhail Prokopenko (CSIRO, Sydney)
Dr. Nihat Ay (Max Planck Institute, Leipzig, Germany)
Dr. Markus Brede (University of Southampton, UK)
Prof. Ralf Der (Max Planck Institute, Leipzig, Germany)
Dr. Jason Held (Saber Astronautics, Denver, Colorado, USA)
Prof. David Hill (University of Sydney, Australia)
Dr. Joseph Lizier (Max Planck Institute, Leipzig, Germany)
Dr. Oliver Obst (CSIRO, Sydney, Australia)
Dr. Mahendra Piraveenan (University of Sydney, Australia)
Dr. Daniel Polani (University of Hertfordshire, UK)
Dr. Mikail Rubinov (University of Cambridge, UK)
Assoc. Prof. Ivan Tanev (Doshisha University, Japan)
Dr. X. Rosalind Wang (CSIRO, Sydney, Australia)
Prof. Larry Yaeger (Indiana University, Bloomington, Indiana, USA)