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...
The agent computing paradigm is rapidly emerging as one of the powerful technologies for the development of largescale distributed systems to deal with the uncertainty in a dynamic...
Maritime terminals of pure transhipment are emerging logistic realities in long-distance containerized trade. Here, complex activities of resource allocation and scheduling should...
Context-based access control is an emerging approach for modeling adaptive solution, making access control management more flexible and powerful. But in the ubiquitous environment...
Nguyen Ngoc Diep, Le Xuan Hung, Yonil Zhung, Sungy...
This paper proposes a new methodology for coordinating multi-robot teams in the execution of cooperative tasks. It is based on a dynamic role assignment mechanism in which the rob...
Luiz Chaimowicz, Mario Fernando Montenegro Campos,...