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...
We propose a multi-agent genetic algorithm to accomplish belief revision. The algorithm implements a new evolutionary strategy resulting from a combination of Darwinian and Lamarck...
The traditional paradigm for digital filter design is based on the concept of a linear difference equation with the output response being a weighted sum of signal samples with usua...
Adaptive responses to resource availability are common in natural systems. In this paper we explore one possible evolutionary cause of adaptive sleep/wake behavior. We subjected po...
Benjamin E. Beckmann, Philip K. McKinley, Charles ...
Recent development in tethered airfoil i.e. kite technology allows the possibility of exploitation of wind energy at higher altitudes than achievable with traditional wind turbines...