| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0483466 |
| utime |
20240103215214.5 |
| mtime |
20171219235959.9 |
| SCOPUS |
85055478094 |
| DOI |
10.1007/978-3-030-01713-2_25 |
| title
(primary) (eng) |
On Decentralized Implicit Negotiation in Modified Ultimatum Game |
| specification |
| page_count |
11 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0483465 |
| ISBN |
978-3-030-01712-5 |
| title
|
Multi-Agent Systems and Agreement Technologies |
| page_num |
357-369 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2018 |
|
| editor |
| name1 |
Belardinelli |
| name2 |
F. |
|
|
| keyword |
cooperation |
| keyword |
Markov decision process |
| keyword |
economic game |
| author
(primary) |
| ARLID |
cav_un_auth*0202365 |
| name1 |
Homolová |
| name2 |
Jitka |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| full_dept |
Department of Adaptive Systems |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0355397 |
| name1 |
Zugarová |
| name2 |
E. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0101124 |
| name1 |
Kárný |
| name2 |
Miroslav |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| 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 |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| 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 ČR |
| country |
CZ |
|
| abstract
(eng) |
Cooperation and negotiation are important elements of human interaction within extensive, flatly organized, mixed human-machine societies. Any sophisticated artificial intelligence cannot be complete without them. Multi-agent system with dynamic locally independent agents, that interact in a distributed way is inevitable in majority of modern applications. Here we consider a modified Ultimatum game (UG) for studying negotiation and cooperation aspects of decision making. The manuscript proposes agent’s optimizing policy using Markov decision process (MDP) framework, which covers implicit negotiation (in contrast with explicit schemes as in [5]). The proposed solution replaces the classical game-theoretical design of agents’ policies by an adaptive MDP that is: i) more realistic with respect to the knowledge available to individual players, ii) provides a first step towards solving negotiation essential in conflict situations. |
| action |
| ARLID |
cav_un_auth*0355398 |
| name |
European Conference on Multi-Agent Systems (EUMAS) 2017 /15./ |
| dates |
20171214 |
| mrcbC20-s |
20171215 |
| place |
Évry |
| country |
FR |
|
| RIV |
BC |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2019 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0278764 |
| confidential |
S |
| arlyear |
2018 |
| mrcbU14 |
85055478094 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0483465 Multi-Agent Systems and Agreement Technologies Springer 2018 Cham 357 369 978-3-030-01712-5 Lecture Notes in Artificial Intelligence 10767 |
| mrcbU67 |
340 Belardinelli F. |
|