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OCCS (Phase III)/en

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Observation and Control of Collaborative Systems

Contact: Hartmut Schmeck


Project Status: completed


In Phase III, the project will refine and extend concepts and tools for the design of distributed observer/controller architectures. These are necessary in order to design more complex and collaborative self-organising technical systems, which are at the same time safe, robust, and adaptive. In Phase I we have developed a generic observer/controller architecture, which allows for controlled self-organisation in technical scenarios. By observing and analyzing the current state of the system under observation and control (SuOC), this architecture can be used to prevent unwanted emergent behaviours and to encourage or enforce the desired ones. A centralised observer/controller architecture was investigated in this context to validate and refine the resulting concepts and methods. In Phase II we focused on complex distributed scenarios. There, we refined the generic architecture into a distributed multilevel observer/controller architecture to support the control of complex self-organising and adaptive technical systems and investigated collective learning as part of the distributed controllers. In Phase III we will extend this systematic approach by refining components of the generic observer/controller architecture, not studied so far, and we will explore complex collaboration mechanisms. We will investigate metrics to quantify robustness and flexibility of OC systems, and we analyse and demonstrate systematically the improvements obtained. For validation purposes and for the demonstration of practical usability, we will develop selected multi-agent/multi-robot scenarios as testbeds. Moreover, we will apply our results to the distributed application Organic Traffic Control, which will be developed in the corresponding project OTC3.

Involved Persons
Jürgen Branke, Nugroho Fredivianus, Urban Richter, Hartmut Schmeck


from: 1 Juli 2009
until: 30 Juni 2011
Funding: DFG
Predecessing Project: OCCS


Leibniz Universität HannoverUniversity of Warwick

Research Group

Efficient Algorithms

Area of Research

Evolutionary Computing, Evolutionary Optimization Of Dynamic Problems, Evolutionary Strategies, Genetic Algorithms, Global Optimization, Machine Learning, Human Computer Systems, Nature-inspired Algorithms, Organic Computing

Publications Belonging to the Project
 - book
 - booklet
 - proceedings
 - phdthesis
 - techreport
 - deliverable
 - manual
 - misc
 - unpublished

Nugroho Fredivianus, Holger Prothmann, Hartmut Schmeck
XCS Revisited: A Novel Discovery Component for the eXtended Classifier System
In Kalyanmoy Deb and others, Proceedings of the 8th International Conference on Simulated Evolution And Learning (SEAL-2010), pages: 289-298, Springer, LNCS, 6457, Berlin Heidelberg, Dezember, 2010

Nugroho Fredivianus, Kais Kara, Hartmut Schmeck
Stay real!: XCS with rule combining for real values
Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, pages: 1493-1494, ACM, Philadelphia, Pennsylvania, USA, Juli, 2012

Clemens Lode, Urban Richter, Hartmut Schmeck
Adaption of XCS to Multi-Learner Predator/Prey Scenarios
In Martin Pelikan, Jürgen Branke, Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation (GECCO 2010), pages: 1015-1022, ACM, New York, NY, USA, Juli, 2010

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Christian Müller-Schloer, Hartmut Schmeck, Theo Ungerer
Organic Computing - A Paradigm Shift for Complex Systems
Birkhäuser, Juni, 2011

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Nugroho Fredivianus, Urban Richter, Hartmut Schmeck
Collaborating and Learning Predators on a Pursuit Scenario
In Mike Hinchey, Bernd Kleinjohann, Lisa Kleinjohann, Peter Lindsay, Franz Rammig, Jon Timmis, and Marilyn Wolf, Distributed, Parallel and Biologically Inspired Systems, pages 290-301, Springer, IFIP Advances in Information and Communication Technology, Vol. 329, Boston, September, 2010

Sven Tomforde, Holger Prothmann, Jürgen Branke, Jörg Hähner, Moez Mnif, Christian Müller-Schloer, Urban Richter, Hartmut Schmeck
Observation and Control of Organic Systems
In Christian Müller-Schloer, Hartmut Schmeck, and Theo Ungerer, Organic Computing - A Paradigm Shift for Complex Systems, ch. 4.1, pages 325-338, Springer, Autonomic Systems, Basel, Juni, 2011

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