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» Some Structural Complexity Aspects of Neural Computation
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GG
2008
Springer
13 years 8 months ago
Workshop on Graph Computation Models
A variety of computation models have been developed using graphs and graph transformations. These include models for sequential, distributed, parallel or mobile computation. A grap...
Mohamed Mosbah, Annegret Habel
CONTEXT
2001
Springer
14 years 5 days ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 8 months ago
Self-adaptive constructivism in Neural XCS and XCSF
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
Gerard David Howard, Larry Bull, Pier Luca Lanzi
IJON
2007
84views more  IJON 2007»
13 years 7 months ago
Modeling self-developing biological neural networks
Recent progress in chips–neuron interface suggests real biological neurons as long-term alternatives to silicon transistors. The first step ning such computing systems is to bu...
Hugues Berry, Olivier Temam
ECBS
1996
IEEE
93views Hardware» more  ECBS 1996»
13 years 12 months ago
A Methodology for Designing and Dimensioning Critical Complex Computing Systems
It is widely recognized that real-time,fault-tolerant and distributed computing technologies play a key role in the deployment of many current andfuture (civilian or Defense) crit...
Gérard Le Lann