| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0085590 |
| utime |
20240111140649.5 |
| mtime |
20071002235959.9 |
| title
(primary) (eng) |
Cooperative decision making without facilitator |
| specification |
| page_count |
6 s. |
| media_type |
CD |
|
| serial |
| ARLID |
cav_un_epca*0087041 |
| title
|
IFAC Workshop "Adaptation and Learning in Control and Signal Processing" /9./ |
| page_num |
1-6 |
| publisher |
| place |
Saint Petersburg |
| name |
IFAC |
| year |
2007 |
|
| editor |
| name1 |
Andrievsky |
| name2 |
B.R. |
|
| editor |
|
|
| title
(cze) |
kooperující rozhodování bez usnadňujícího prostředku |
| keyword |
Bayesian distributed decision making |
| keyword |
cooperation |
| keyword |
learning |
| author
(primary) |
| ARLID |
cav_un_auth*0101124 |
| name1 |
Kárný |
| name2 |
Miroslav |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101138 |
| name1 |
Kracík |
| name2 |
Jan |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101092 |
| name1 |
Guy |
| name2 |
Tatiana Valentine |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
1ET100750401 |
| agency |
GA AV ČR |
| ARLID |
cav_un_auth*0001792 |
|
| project |
| project_id |
2C06001 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0217685 |
|
| project |
| project_id |
1ET100750404 |
| agency |
GA AV ČR |
| ARLID |
cav_un_auth*0001793 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
Estimation, learning, pattern recognition, diagnostics, fault detection and adaptive control are prominent examples of dynamic decision making under uncertainty. Under rather general conditions, they can be cast into a common theoretical framework labelled as Bayesian decision making. Richness of the practically developed variants stems from: (i) domain-specific models used; (ii) adopted approximations fighting with limited perceiving and evaluation abilities of the involved decision-making units, called here participants. While modeling is a well-developed art, the item (ii) still lacks a systematic theoretical framework. This paper provides a promising direction that could become a basis of such framework. It can be characterized as multiple-participant decision making exploiting Bayesian participants equipped with tools for sharing their knowledge and harmonizing their aims and restrictions with their neighbors. |
| abstract
(cze) |
kooperující rozhodování bez usnadňujícího prostředku |
| action |
| ARLID |
cav_un_auth*0229859 |
| name |
IFAC Workshop "Adaptation and Learning in Control and Signal Processing" /9./ |
| place |
Saint Petersburg |
| dates |
29.08.2007-31.08.2007 |
| country |
RU |
|
| reportyear |
2008 |
| RIV |
BD |
| permalink |
http://hdl.handle.net/11104/0148069 |
| arlyear |
2007 |
| mrcbU56 |
pdf 141kB |
| mrcbU63 |
cav_un_epca*0087041 IFAC Workshop "Adaptation and Learning in Control and Signal Processing" /9./ 1 6 Saint Petersburg IFAC 2007 |
| mrcbU67 |
Andrievsky B.R. 340 |
| mrcbU67 |
Fradkov A.L. 340 |
|