Based on a revision of the common task understanding in model-based approaches a formal meta model is proposed which allows more expressive task descriptions. A task is considered ...
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
Abstract. The Web provides us with a vast resource for business intelligence. However, the large size of the Web and its dynamic nature make the task of foraging appropriate inform...
This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural models, based on the charge ...
Efficient discovery and resource allocation is one of the challenges of current Peer-to-Peer systems. In centralized approaches, the user requests can be matched to the fastest, ch...
Oscar Ardaiz, Pau Artigas, Torsten Eymann, Felix F...