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» Adaptive learning in evolving task allocation networks
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CEC
2010
IEEE
13 years 8 months ago
A hormone-based controller for evolutionary multi-modular robotics: From single modules to gait learning
For any embodied, mobile, autonomous agent it is essential to control its actuators appropriately for the faced task. This holds for natural organisms as well as for robots. If sev...
Heiko Hamann, Jürgen Stradner, Thomas Schmick...
CORR
2010
Springer
197views Education» more  CORR 2010»
13 years 6 months ago
Hedonic Coalition Formation for Distributed Task Allocation among Wireless Agents
—Autonomous wireless agents such as unmanned aerial vehicles, mobile base stations, or self-operating wireless nodes present a great potential for deployment in next-generation w...
Walid Saad, Zhu Han, Tamer Basar, Mérouane ...
IAT
2007
IEEE
14 years 1 months ago
An Application of Automated Negotiation to Distributed Task Allocation
Through automated negotiation we aim to improve task allocation in a distributed sensor network. In particular, we look at a type of adaptive weather-sensing radar that permits th...
Michael Krainin, Bo An, Victor R. Lesser
JNCA
2007
136views more  JNCA 2007»
13 years 7 months ago
Adaptive anomaly detection with evolving connectionist systems
Anomaly detection holds great potential for detecting previously unknown attacks. In order to be effective in a practical environment, anomaly detection systems have to be capable...
Yihua Liao, V. Rao Vemuri, Alejandro Pasos
ICONIP
1998
13 years 8 months ago
ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm
The paper presents a framework called ECOS for Evolving COnnectionist Systems. ECOS evolve through incremental learning. They can accommodate any new input data, including new fea...
Nikola K. Kasabov