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...
This paper provides a generalization of non-reducible descriptors by extending the concept of distance between patterns of di erent classes. Generalized non-reducible descriptors ...
With this contribution we present a design and development method for distributed applications, which are running on top of advanced object middleware platforms. We introduce the ...
In the paper we present an ACP-like process algebra which can be used to model both probabilistic and time behaviour of parallel systems. This process algebra is obtained by extens...
Internet-based multi-agent systems call for new metaphors, abstractions, methodologies and enabling technologies specifically tailored to agent-oriented engineering. While coordin...