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» Adaptive learning in evolving task allocation networks
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AAAI
2006
13 years 8 months ago
Real-Time Evolution of Neural Networks in the NERO Video Game
A major goal for AI is to allow users to interact with agents that learn in real time, making new kinds of interactive simulations, training applications, and digital entertainmen...
Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, ...
IROS
2006
IEEE
129views Robotics» more  IROS 2006»
14 years 1 months ago
Acquisition of Multi-Modal Expression of Slip through Pick-Up Experiences
— To realize adaptive and robust manipulation, a robot should have several sensing modalities and coordinate their outputs to achieve the given task based on underlying constrain...
Yasunori Tada, Koh Hosoda
WOA
2001
13 years 8 months ago
Implementing Adaptive Capabilities on Agents that Act in a Dynamic Environment
Acting in a dynamic environment is a complex task that requires several issues to be investigated, with the aim of controlling the associated search complexity. In this paper, a l...
Giuliano Armano, Giancarlo Cherchi, Eloisa Vargiu
AI
2009
Springer
14 years 2 months ago
Grid-Enabled Adaptive Metamodeling and Active Learning for Computer Based Design
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Dirk Gorissen
CIG
2006
IEEE
14 years 1 months ago
A Coevolutionary Model for The Virus Game
— In this paper, coevolution is used to evolve Artificial Neural Networks (ANN) which evaluate board positions of a two player zero-sum game (The Virus Game). The coevolved neura...
Peter I. Cowling, M. H. Naveed, M. A. Hossain