| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0462891 |
| utime |
20240103212627.9 |
| mtime |
20160921235959.9 |
| SCOPUS |
84987935072 |
| WOS |
000389086300027 |
| DOI |
10.1007/978-3-319-44778-0_27 |
| title
(primary) (eng) |
Deliberation-aware Responder in Multi-Proposer Ultimatum Game |
| specification |
| page_count |
8 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0463079 |
| ISBN |
978-3-319-44777-3 |
| ISSN |
0302-9743 |
| title
|
Artificial Neural Networks and Machine Learning – ICANN 2016 |
| part_num |
Part I. |
| page_num |
230-237 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2016 |
|
|
| keyword |
deliberation effort |
| keyword |
Markov decision process |
| keyword |
ultimatum game |
| author
(primary) |
| ARLID |
cav_un_auth*0333672 |
| name1 |
Ruman |
| name2 |
Marko |
| 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 |
| country |
SK |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0333671 |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| full_dept |
Department of Adaptive Systems |
| share |
20 |
| name1 |
Hůla |
| name2 |
František |
| institution |
UTIA-B |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101124 |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| full_dept |
Department of Adaptive Systems |
| share |
20 |
| name1 |
Kárný |
| name2 |
Miroslav |
| 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 |
| 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. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0331019 |
| project_id |
GA16-09848S |
| agency |
GA AV ČR |
|
| abstract
(eng) |
The article studies deliberation aspects by modelling a responder in multi-proposers ultimatum game (UG). Compared to the classical UG, deliberative multi-proposers UG suggests that at each round the responder selects the proposer to play with. Any change of the proposer (compared to the previous round) is penalised. The simulation results show that though switching of proposers incurred non-negligible deliberation costs, the economic profit of the deliberation-aware responder was significantly higher in multi-proposer UG compared to the classical UG. |
| action |
| ARLID |
cav_un_auth*0333805 |
| name |
International Conference on Artificial Neural Networks 2016 /25./ |
| dates |
20160906 |
| mrcbC20-s |
20160909 |
| place |
Barcelona |
| country |
ES |
|
| RIV |
BB |
| reportyear |
2017 |
| num_of_auth |
4 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0262367 |
| confidential |
S |
| mrcbC86 |
3+4 Proceedings Paper Computer Science Artificial Intelligence|Computer Science Information Systems|Computer Science Theory Methods|Robotics |
| mrcbT16-s |
0.325 |
| mrcbT16-4 |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2016 |
| mrcbU14 |
84987935072 SCOPUS |
| mrcbU34 |
000389086300027 WOS |
| mrcbU63 |
cav_un_epca*0463079 Artificial Neural Networks and Machine Learning – ICANN 2016 Part I. 978-3-319-44777-3 0302-9743 230 237 Cham Springer 2016 Lecture Notes in Computer Science 9886 |
|