Indirect Dynamic Negotiation in the Nash Demand Game

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F22%3A00562376" target="_blank" >RIV/67985556:_____/22:00562376 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60460709:41110/22:91556 RIV/68407700:21340/22:00365179

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9905577" target="_blank" >https://ieeexplore.ieee.org/document/9905577</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACCESS.2022.3210506" target="_blank" >10.1109/ACCESS.2022.3210506</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Indirect Dynamic Negotiation in the Nash Demand Game

Popis výsledku v původním jazyce

The paper addresses a problem of sequential bilateral bargaining with incomplete information. We proposed a decision model that helps agents to successfully bargain by performing indirect negotiation and learning the opponent’s model. Methodologically the paper casts heuristically-motivated bargaining of a self-interested independent player into a framework of Bayesian learning and Markov decision processes. The special form of the reward implicitly motivates the players to negotiate indirectly, via closed-loop interaction. We illustrate the approach by applying our model to the Nash demand game, which is an abstract model of bargaining. The results indicate that the established negotiation: i) leads to coordinating players’ actions. ii) results in maximising success rate of the game and iii) brings more individual profit to the players.

Název v anglickém jazyce

Indirect Dynamic Negotiation in the Nash Demand Game

Popis výsledku anglicky

The paper addresses a problem of sequential bilateral bargaining with incomplete information. We proposed a decision model that helps agents to successfully bargain by performing indirect negotiation and learning the opponent’s model. Methodologically the paper casts heuristically-motivated bargaining of a self-interested independent player into a framework of Bayesian learning and Markov decision processes. The special form of the reward implicitly motivates the players to negotiate indirectly, via closed-loop interaction. We illustrate the approach by applying our model to the Nash demand game, which is an abstract model of bargaining. The results indicate that the established negotiation: i) leads to coordinating players’ actions. ii) results in maximising success rate of the game and iii) brings more individual profit to the players.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/LTC18075" target="_blank" >LTC18075: Distribuované racionální rozhodování: kooperační aspekty</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Access

ISSN

2169-3536

e-ISSN

2169-3536

Svazek periodika

10

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

14

Strana od-do

105008-105021

Kód UT WoS článku

000866441700001

EID výsledku v databázi Scopus

2-s2.0-85139393431