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» The relationship between evolvability and bloat
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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 2 months ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
ATAL
2010
Springer
14 years 10 months ago
Evolving policy geometry for scalable multiagent learning
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
68
Voted
BC
2006
71views more  BC 2006»
14 years 9 months ago
The Main Sequence of Saccades Optimizes Speed-accuracy Trade-off
Abstract In primates, it is well known that there is a consistent relationship between the duration, peak velocity and amplitude of saccadic eye movements, known as the `main seque...
Christopher M. Harris, Daniel M. Wolpert
59
Voted
AI
2006
Springer
14 years 9 months ago
Shifting viewpoints: Artificial intelligence and human-computer interaction
The AI and HCI communities have often been characterized as having opposing views of how humans and computers should interact. As both of them evolve, there is a deeper contrast t...
Terry Winograd
123
Voted
IFIPTM
2009
171views Management» more  IFIPTM 2009»
14 years 7 months ago
Trust-Enhanced Recommender Systems for Efficient On-Line Collaboration
Trust has been explored by many researchers in the past as a solution for assisting the process of recommendation production. In this work we are examining the feasibility of build...
Georgios Pitsilis