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» Modeling dynamic environments in multi-agent simulation
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AAI
2000
122views more  AAI 2000»
14 years 9 months ago
High-Level Interpretation in Virtual Environments
: As Virtual Environments applications become more complex, there is a need to interpret user interaction in terms of high-level concepts. In this paper, we investigate the relatio...
Marc Cavazza, Ian Palmer
76
Voted
ECAL
2005
Springer
15 years 3 months ago
CelloS: A Multi-level Approach to Evolutionary Dynamics
We study the evolution of simple cells that are equipped with a genome, a rudimentary gene regulation network at transcription level and two classes of functional genes: motion e...
Camille Stephan-Otto Attolini, Peter F. Stadler, C...
ICRA
2007
IEEE
138views Robotics» more  ICRA 2007»
15 years 4 months ago
Output Feedback Control of Wind Display in a Virtual Environment
—This research focuses on development of a haptic system to create controlled air flow acting on a user in the Treadport virtual environment. The Treadport Active Wind Tunnel (TP...
Sandip D. Kulkarni, Mark A. Minor, Mark W. Deaver,...
VR
2003
IEEE
192views Virtual Reality» more  VR 2003»
15 years 3 months ago
Interactive Flowing of Highly Viscous Volumes in Virtual Environments
We present a simple and linear 3D cellular automata approach for animating the behaviors of viscous flow volumes in virtual environments. An accurate modeling of fluid flow usu...
Xiaoming Wei, Wei Li, Arie E. Kaufman
ECAL
2001
Springer
15 years 2 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...