| bibtype |
J -
Journal Article
|
| ARLID |
0339283 |
| utime |
20240103193131.4 |
| mtime |
20100224235959.9 |
| title
(primary) (eng) |
Cooperation via sharing of probabilistic information |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0339445 |
| ISSN |
1755-4977 |
| title
|
International Journal of Computational Intelligence Studies |
| page_num |
139-162 |
|
| keyword |
Bayesian decision making |
| keyword |
multiple participant |
| keyword |
decision making |
| author
(primary) |
| ARLID |
cav_un_auth*0101124 |
| name1 |
Kárný |
| name2 |
Miroslav |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| 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*0101092 |
| name1 |
Guy |
| name2 |
Tatiana Valentine |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| 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*0205835 |
| name1 |
Bodini |
| name2 |
A. |
| country |
IT |
|
| author
|
| ARLID |
cav_un_auth*0205836 |
| name1 |
Ruggeri |
| name2 |
F. |
| country |
IT |
|
| source |
|
| cas_special |
| project |
| project_id |
GA102/08/0567 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239566 |
|
| project |
| project_id |
2C06001 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0217685 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
The paper concerns a cooperation problem in multiple participant decision making (DM). A fully scalable cooperation model with individual participants being Bayesian decision makers who use fully probabilistic design of the optimal decision strategy is presented. The solution suggests a flat structure of cooperation, where each participant interacts with several ‘neighbours’. The cooperation consists in providing probabilistic distributions a participant uses for its DM. The group DM is then determined by a way of exploitation of the offered non-standard (probabilistic) fragmental information. The paper proposes a systematic procedure by formulating and solving the exploitation problem in a Bayesian way. |
| reportyear |
2010 |
| RIV |
BB |
| permalink |
http://hdl.handle.net/11104/0182856 |
| arlyear |
2009 |
| mrcbU63 |
cav_un_epca*0339445 International Journal of Computational Intelligence Studies 1755-4977 Vol. 1 No. 2 2009 139 162 |
|