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» Learning Models of Macrobehavior in Complex Adaptive Systems
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ICES
2003
Springer
111views Hardware» more  ICES 2003»
15 years 3 months ago
Spiking Neural Networks for Reconfigurable POEtic Tissue
Abstract. Vertebrate and most invertebrate organisms interact with their environment through processes of adaptation and learning. Such processes are generally controlled by comple...
Jan Eriksson, Oriol Torres, Andrew Mitchell, Gayle...
SASO
2007
IEEE
15 years 4 months ago
In Search of Simplicity: A Self-Organizing Group Communication Overlay
Group communication primitives have broad utility as building blocks for distributed applications. The challenge is to create and maintain the distributed structures that support ...
Matei Ripeanu, Adriana Iamnitchi, Ian T. Foster, A...
CONTEXT
1999
Springer
15 years 2 months ago
The Pragmatic Roots of Context
When modelling complex systems one can not include all the causal factors, but one has to settle for partial models. This is alright if the factors left out are either so constant...
Bruce Edmonds
WSC
2007
15 years 10 days ago
Simulation of continuous behavior using discrete tools: ORE conveyor transport
The modeling of systems mixing discrete and continuous behavior is a challenge for model builders. Sometimes, the continuous part is important, but small near the complex decision...
Marcelo Moretti Fioroni, Luiz Augusto Gago Franzes...
ENTCS
2007
156views more  ENTCS 2007»
14 years 10 months ago
Bounded Model Checking with Parametric Data Structures
Bounded Model Checking (BMC) is a successful refutation method to detect errors in not only circuits and other binary systems but also in systems with more complex domains like ti...
Erika Ábrahám, Marc Herbstritt, Bern...