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CEC
2007
IEEE
16 years 1 months ago
Evolving neuromodulatory topologies for reinforcement learning-like problems
— Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advanta...
Andrea Soltoggio, Peter Dürr, Claudio Mattius...
CEC
2009
IEEE
15 years 10 months ago
A model for intrinsic artificial development featuring structural feedback and emergent growth
Abstract--A model for intrinsic artificial development is introduced in this paper. The proposed model features a novel mechanism where growth emerges, rather than being triggered ...
Martin Trefzer, Tüze Kuyucu, Julian Francis M...
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 10 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
ECTEL
2006
Springer
15 years 10 months ago
From the Analysis of Community Activity to the Appropriation of New Tools. A Methodological Approach for the Development of Info
More and more CoPs have chosen virtual environments and services to support their activities. However, recent research has underlined several problems: the lack of adequate scaffol...
Bernadette Charlier, France Henri, Amaury Daele, M...
JCP
2006
128views more  JCP 2006»
15 years 6 months ago
A Service Oriented Framework for Multimedia Radio Networks
- In order to enable fast deployment of new emerging services over multimedia radio networks, it is important to design an efficient service-based platform with necessary traffic m...
Asma Ben Letaifa, Sami Tabbane, Zièd Chouka...