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Trading Agents Negotiation in Business Management using Demand Functions: Simulation Experiments with Binomial Distribution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F14%3A%230002610" target="_blank" >RIV/47813059:19520/14:#0002610 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.sciencedirect.com/science/article/pii/S1877050914011673" target="_blank" >http://www.sciencedirect.com/science/article/pii/S1877050914011673</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.procs.2014.08.202" target="_blank" >10.1016/j.procs.2014.08.202</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Trading Agents Negotiation in Business Management using Demand Functions: Simulation Experiments with Binomial Distribution

  • Original language description

    The aim of this paper is to propose an experimental business management approach to cover a seller-to-customer price negotiation in an agent-based simulations. The core element in this approach is the price negotiation. We used Marshallian demand function and a Cobb-Douglas utility function in the negotiation process. Moreover, multi-agent model is proposed and implemented in Jade development platform. Its task is to serve as a simulation framework for the trading processes execution. The main background of this framework is to be integrated in management information systems as a decision support module for a prediction of key performance indicators of a virtual company. A binomial distribution was used in presented experiments to simulate the quantityof negotiated commodities. The paper firstly presents some of the existing principles about consumer behavior, agent-based modeling and simulation in the same area and demand function theory. Secondly, presents multi-agent model and dema

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    O - Projekt operacniho programu

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Knowledge-Based and Intelligent Information @ Engineering Systems 18th Annual Conference, Procedia Computer Science

  • ISBN

  • ISSN

    1877-0509

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    1436-1444

  • Publisher name

    Elsevier

  • Place of publication

    London

  • Event location

    Gdynia

  • Event date

    Sep 15, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000345394100152