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IAT
2005
IEEE
14 years 1 months ago
Optimizing Agents Operation in Partially Inaccessible and Disruptive Environment
The algorithm we present in this paper aims to optimally distribute and connect the community of loosely coupled middle agents ensuring communication accessibility in a dynamic, i...
David Sislák, Martin Rehák, Michal P...
CVPR
2003
IEEE
14 years 9 months ago
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marc...
MAGS
2007
115views more  MAGS 2007»
13 years 7 months ago
Designing modular architectures in the framework AKIRA
AKIRA is an open source framework designed for parallel, asynchronous and distributed computation, on the basis of some general architectural principles which are inspired by modu...
Giovanni Pezzulo, Gianguglielmo Calvi
EEMMAS
2007
Springer
14 years 1 months ago
Prediction Horizons in Agent Models
One motivation for many agent-based models is to predict the future. The nonlinearity of agent interactions in most non-trivial domains mean that the usefulness of such prediction...
H. Van Dyke Parunak, Theodore C. Belding, Sven A. ...
GECCO
2005
Springer
220views Optimization» more  GECCO 2005»
14 years 1 months ago
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Mark Fleischer