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AIIDE
2006
13 years 8 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
WIOPT
2010
IEEE
13 years 5 months ago
K-shell decomposition for dynamic complex networks
—K-shell (or k-core) graph decomposition methods were introduced as a tool for studying the structure of large graphs. K-shell decomposition methods have been recently proposed [...
Daniele Miorandi, Francesco De Pellegrini
VISUALIZATION
2005
IEEE
14 years 28 days ago
Topology-driven Surface Mappings with Robust Feature Alignment
Topological concepts and techniques have been broadly applied in computer graphics and geometric modeling. However, the homotopy type of a mapping between two surfaces has not bee...
Christopher Carner, Miao Jin, Xianfeng Gu, Hong Qi...
ALIFE
2006
13 years 7 months ago
Evolving Physically Simulated Flying Creatures for Efficient Cruising
The body-brain coevolution of aerial life forms has not been developed as far as aquatic or terrestrial locomotion in the field of artificial life. We are studying physically simu...
Yoon-Sik Shim, Chang-Hun Kim
ECAL
2007
Springer
14 years 1 months ago
Multi-level Selection in the Emergence of Language Systematicity
Language can be viewed as a complex adaptive system which is continuously shaped and reshaped by the actions of its users as they try to solve communicative problems. To maintain c...
Luc Steels, Remi van Trijp, Pieter Wellens