Project leader:
Ing. Miroslav
Kárný, DrSc.
Department:
AS
Supported by (ID):
AVČR1ET100750401
Duration:
2004-2007
Publications at UTIA:
list
Abstract:
Aim 1
Development of implementable theory of Bayesian adaptive distributed decision making (DM) with multiple participants and multiple-criteria. It will provide:
Fully probabilistic design (FPD) of adaptive strategies respecting changing environment and group aims. Methodology of combining experience, observed data, statistics and individual aims.
Aim 2
Transformation of the theory into a set of generic, easy-to-tailor algorithms implemented in an open software system. It will contain algorithms for:
dynamic mixtures supporting FPD of distributed DM; universal approximation property and relative simplicity of their tailoring motivate this choice;
automatic translation of technical knowledge into probabilistic description and solutions of FPD; and software for algorithmic development and its transfer to industry verified by creating an industrial version.
Responsible for information:
AS
Last modification:
05.05.2009