Workshop Organic Computing - Status and Outlook
09:00 - 09:15 | Opening and welcome Hartmut Schmeck |
09:15 - 10:45 | Session 1 |
09:15 - 09:45 | "Real-time management in emergent systems" Steffen Stein, Arne Hamann, Rolf Ernst |
09:45 - 10:15 | "Towards a generic observer/controller architecture for Organic Computing" Urban Richter, Moez Mnif, Jürgen Branke, Christian Müller-Schloer, Hartmut Schmeck |
10:15 - 10:45 | "An organic architecture for traffic light controllers" Fabian Rochner, Holger Prothmann, Jürgen Branke, Christian Müller-Schloer, Hartmut Schmeck |
10:45 - 11:00 | Kaffeepause |
11:00 - 12:30 | Session 2 |
11:00 - 11:30 | "Self-organization at the lowest level: Proactively learning skills in autonomous systems" Willi Richert, Bernd Kleinjohann, Alexander Murmann |
11:30 - 12:00 | "Automatic configuration of the dynamic model for common industrial robots" Michael Wenz, Heinz Wörn |
12:00 - 12:30 | "Development of an Organic Computing architecture for robot control" Bojan Jakimovski, Marek Litza, Florian Mösch, Adam El Sayed Auf |
12:30 - 14:00 | Mittagspause |
14:00 - 15:30 | Session 3 |
14:00 - 14:30 | Invited talk 99% (Biological) Inspiration... Dr. Michael Hinchey, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA See detailed information below. |
14:30 - 15:00 | "Towards safe and secure Organic Computing applications" Matthias Güdemann, Florian Nafz, Wolfgang Reif, Hella Seebach |
15:00 - 15:30 | "Using positive and negative selection from immunology for detection of anomalies in a self-protecting middleware" Andreas Pietzowski, Benjamin Satzger, Wolfgang Trumler, Theo Ungerer |
15:30 - 16:00 | Kaffeepause |
16:00 - 17:00 | Session 4 |
16:00 - 16:30 | "Beyond swarm intelligence: Building self-managing systems based on pollination" Holger Kasinger, Bernhard Bauer |
16:30 - 17:00 | "An architecture for runtime evaluation of SoC reliability" Andreas Bernauer, Wolfgang Rosenstiel, Oliver Bringmann, Abdelmajid Bouajilia, Walter Stechele, Andreas Herkersdorf |
17:00 | Concluding remarks Hartmut Schmeck |
Invited Talk
99% (Biological) Inspiration...
Dr. Michael Hinchey
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
CV
Mike Hinchey is Director of the NASA Software Engineering Laboratory,
located at NASA Goddard Space Flight Center in Greenbelt, Maryland and
Affiliate Professor at Loyola College in Maryland, Baltimore, MD. Prior to
joining the US government, he held various positions at the level of full
professor in the US, Australia, Sweden, Ireland and the UK. He received a
B.Sc. in Computer Science from University of Limerick, Ireland, an M.Sc. in
Computation from University of Oxford, UK, and a Ph.D. in Computer Science
from University of Cambridge, UK. He is Chair of the IEEE Technical
Committee on Complexity in Computing, Vice Chair of the IEEE Task Force on
Autonomous and Autonomic Systems, and he is the IEEE Computer Society's
representative to IFIP Technical Committee 1 (Foundations of Computer
Science), which he currently chairs. He is also the Treasurer of EASST.
Abstract
Greater understanding of biology in modern times has enabled significant
breakthroughs in improving healthcare, quality of life, and eliminating many
diseases and congenital illnesses. Simultaneously there is a move towards
emulating nature and copying many of the wonders uncovered in biology,
resulting in "biologically inspired" systems. Significant results have been
reported in a wide range of areas, with systems inspired by nature enabling
exploration, communication, and advances that were never dreamed possible
just a few years ago. We warn, that as in many other fields of endeavor, we
should be inspired by nature and biology, not engage in mimicry. We describe
some results of biological inspiration that augur promise in terms of
improving the safety and security of systems, and in developing
self-managing systems that we hope will ultimately lead to self-governing
systems. We concentrate on the concept of swarm-based exploration missions
that will enable NASA to explore space more efficiently and collect data
never before available to scientists. We discuss several new self-x
properties that will make such missions possible and that will also have
application in other areas.
(The invited talk is supported by the GI/ITG-Fachgruppe APS+PC.)
Dr. Michael Hinchey
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
CV
Mike Hinchey is Director of the NASA Software Engineering Laboratory,
located at NASA Goddard Space Flight Center in Greenbelt, Maryland and
Affiliate Professor at Loyola College in Maryland, Baltimore, MD. Prior to
joining the US government, he held various positions at the level of full
professor in the US, Australia, Sweden, Ireland and the UK. He received a
B.Sc. in Computer Science from University of Limerick, Ireland, an M.Sc. in
Computation from University of Oxford, UK, and a Ph.D. in Computer Science
from University of Cambridge, UK. He is Chair of the IEEE Technical
Committee on Complexity in Computing, Vice Chair of the IEEE Task Force on
Autonomous and Autonomic Systems, and he is the IEEE Computer Society's
representative to IFIP Technical Committee 1 (Foundations of Computer
Science), which he currently chairs. He is also the Treasurer of EASST.
Abstract
Greater understanding of biology in modern times has enabled significant
breakthroughs in improving healthcare, quality of life, and eliminating many
diseases and congenital illnesses. Simultaneously there is a move towards
emulating nature and copying many of the wonders uncovered in biology,
resulting in "biologically inspired" systems. Significant results have been
reported in a wide range of areas, with systems inspired by nature enabling
exploration, communication, and advances that were never dreamed possible
just a few years ago. We warn, that as in many other fields of endeavor, we
should be inspired by nature and biology, not engage in mimicry. We describe
some results of biological inspiration that augur promise in terms of
improving the safety and security of systems, and in developing
self-managing systems that we hope will ultimately lead to self-governing
systems. We concentrate on the concept of swarm-based exploration missions
that will enable NASA to explore space more efficiently and collect data
never before available to scientists. We discuss several new self-x
properties that will make such missions possible and that will also have
application in other areas.
(The invited talk is supported by the GI/ITG-Fachgruppe APS+PC.)
