Institute of Information Theory and Automation

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BADDYR: bayesian adaptive distributed decision making

Identification Code: 
1ET100750401
Start: 
2004-01-01
End: 
2007-01-01
Project Focus: 
teoretický
Project Type (EU): 
other
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.
Publications ÚTIA: 
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2018-09-20 11:19