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Deliberation-aware Responder in Multi-Proposer Ultimatum Game

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00462891" target="_blank" >RIV/67985556:_____/16:00462891 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-44778-0_27" target="_blank" >http://dx.doi.org/10.1007/978-3-319-44778-0_27</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-44778-0_27" target="_blank" >10.1007/978-3-319-44778-0_27</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Deliberation-aware Responder in Multi-Proposer Ultimatum Game

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA16-09848S" target="_blank" >GA16-09848S: Rationality and Deliberation</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Artificial Neural Networks and Machine Learning – ICANN 2016

  • ISBN

    978-3-319-44777-3

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    230-237

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Barcelona

  • Event date

    Sep 6, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000389086300027