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» Managing Complexity in Large Learning Robotic Systems
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JMLR
2008
141views more  JMLR 2008»
13 years 8 months ago
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
Many complex control problems require sophisticated solutions that are not amenable to traditional controller design. Not only is it difficult to model real world systems, but oft...
Faustino J. Gomez, Jürgen Schmidhuber, Risto ...
TEI
2010
ACM
197views Hardware» more  TEI 2010»
14 years 2 months ago
Constructing with movement: kinematics
This paper describes Kinematics: a novel construction toy for children consisting of both active (shape-changing or rotating) and passive building blocks. In comparison to similar...
Leonhard Oschuetz, Daniel Wessolek, Wolfgang Sattl...
AC
2003
Springer
14 years 1 months ago
Petri Nets and Manufacturing Systems: An Examples-Driven Tour
Abstract. There exists ample literature on Petri nets and its potential in the modelling, analysis, synthesis and implementation of systems in the manufacturing applications domain...
Laura Recalde, Manuel Silva, Joaquin Ezpeleta, Enr...
CIA
2007
Springer
14 years 2 months ago
Learning Initial Trust Among Interacting Agents
Trust learning is a crucial aspect of information exchange, negotiation, and any other kind of social interaction among autonomous agents in open systems. But most current probabil...
Achim Rettinger, Matthias Nickles, Volker Tresp
ATAL
2003
Springer
14 years 1 months ago
Resource-aware exploration of the emergent dynamics of simulated systems
The emerging science of simulation enables us to explore the dynamics of large and complex systems even if a formal representation and analysis of the system is intractable and a ...
Sven Brueckner, H. Van Dyke Parunak