We study the problem of efficiently allocating incoming independent tasks onto the resources of a Grid system. Typically, it is assumed that the estimated time to compute each task...
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
The implementation of AI in commercial games is usually based on low level designs that makes the control predictable, unadaptive, and non reusable. Reorithms such as HTN or GOAP p...
Locally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstrat...
Abstract. In this paper we introduce an agent architecture for joint action negotiation among several agents in complex environments and with negotiation time bounds. The architect...
In this paper, we propose an object segmentation framework, based on the popular bag of features (BoF), which can process several images per second while achieving a good segmentat...
Extension-based argumentation semantics have shown to be a suitable approach for performing practical reasoning. An important concern in extensionbased-argumentation semantics is t...
Interactions within Multi-agent systems can be structured in different ways depending on the application scenario and its environmental restrictions. In previous work we have devel...
show that an abstract analysis of one of these three set theoretic principles can sometimes lead us to results that do not require additional axioms at all but which could have bee...