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...
Abstract—We are interested in the problem of multiagent systems development for risk detecting and emergency response in an uncertain and partially perceived environment. The eva...
It is recognized in Ambient Intelligence that ambient devices should be modeled as intelligent autonomous components rather than passive information sources. The agent paradigm sui...
—Emergent behavior is an essential feature in multi-agent systems and plays a significant role in the applications of agent technology. Because of the huge gap between individual...
AbstractThe principle of cooperation influences our everyday lives. This conflict between individual and collective rationality can be modelled through the use of social dilemmas...