"2007-12-31+01:00"^^ . "2009-05-04+02:00"^^ . . . "BADDYR: Bayesovsk\u00E9 Adaptivn\u00ED Distribuovan\u00E9 Dynamick\u00E9 Rozhodov\u00E1n\u00ED" . . . . " adaptive systems" . "21"^^ . "21"^^ . . . "dynamic decision making; Bayesian decision making; multiple participant decision making; multicriterial decision making; adaptive systems; algorithms and software; industrial implementation"@en . . "Project aimed to build tools for implementation of normative Bayesian distributed control. It has created a firm basis of such theory, created corresponding algorithmic and software solutions and tested them in industrial and social environment."@en . "2007-02-28+01:00"^^ . . . "1ET100750401" . " Bayesian decision making" . "dynamic decision making" . "http://www.isvav.cz/projectDetail.do?rowId=1ET100750401"^^ . " multiple participant decision making" . . . "Projekt vytv\u00E1\u0159el n\u00E1stroje pro implementaci normativn\u00ED bayesovsk\u00E9 teorie distribuovan\u00E9ho \u0159\u00EDzen\u00ED. Polo\u017Eil pevn\u00E9 z\u00E1klady takov\u00E9 teorie, vytvo\u0159il odpov\u00EDdaj\u00EDc\u00ED algoritmick\u00E9 a programov\u00E9 \u0159e\u0161en\u00ED a testoval je v pr\u016Fmyslov\u00E9m a spole\u010Densk\u00E9m prost\u0159ed\u00ED."@cs . . "C\u00EDl 1: V\u00FDvoj snadno implementovateln\u00E9 bayesovsk\u00E9 teorie distribuovan\u00E9ho bayesovsk\u00E9ho rozhodov\u00E1n\u00ED s v\u00EDce \u00FA\u010Dastn\u00EDky a krit\u00E9rii aplikovateln\u00E9 v adaptivn\u00ED verzi. Vznikne: Pln\u011B pravd\u011Bpodobnostn\u00ED n\u00E1vrh (PPN) adaptivn\u00EDch strategi\u00ED \u00FA\u010Dastn\u00EDk\u016F schopn\u00FDch reagovat na m\u011Bn\u00EDc\u00ED se okol\u00ED a respektuj\u00EDc\u00EDch skupinov\u00E9 c\u00EDle. Metodika spojov\u00E1n\u00ED zku\u0161enost\u00ED, pozorovan\u00FDch dat, statistik a c\u00EDl\u016F jednotliv\u00FDch \u00FA\u010Dastn\u00EDk\u016F. C\u00EDl 2: P\u0159eveden\u00ED teorie do tvaru obecn\u00E9ho, programov\u011B realizovan\u00E9ho a roz\u0161i\u0159iteln\u00E9ho souboru algoritm\u016F, kter\u00E9 je mo\u017Eno jednodu\u0161e p\u0159izp\u016Fsobit konkr\u00E9tn\u00ED aplikaci. Vzniknou algoritmy pro: dynamick\u00E9 sm\u011Bsi podporuj\u00EDc\u00ED PPN distribuovan\u00E9ho rozhodov\u00E1n\u00ED; zam\u011B\u0159en\u00ED na n\u011B je motivov\u00E1no jejich univers\u00E1ln\u00ED aproxima\u010Dn\u00ED schopnost\u00ED a relativn\u011B snadn\u00FDm p\u0159izp\u016Fsobov\u00E1n\u00EDm na konkr\u00E9tn\u00ED probl\u00E9my; automatizovan\u00FD p\u0159eklad technick\u00FDch znalost\u00ED a c\u00EDl\u016F na hustoty pravd\u011Bpodobnosti a \u0159e\u0161en\u00ED rovnic popisuj\u00EDc\u00EDch PPN programov\u00E9 vybaven\u00ED pro v\u00FDvoj algoritm\u016F a jejich p\u0159enos do pr\u016Fmyslu a vzorov\u00E1 pr\u016Fmyslov\u00E1 varianta." . "2"^^ . . " algorithms and software" . "0"^^ . . . "2004-07-01+02:00"^^ . "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 knowlwedge into probabilistic description and solutions of FPD; and software for algorithmic development and its transfer to industry verified by creating an industrial version."@en . . . "1"^^ . " multicriterial decision making" . . . "BADDYR: Bayesian Adaptive Distributed Dynamic Decision Making"@en .