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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

—

ISSN

1877-0509

e-ISSN

—

Počet stran výsledku

9

Strana od-do

1436-1444

Název nakladatele

Elsevier

Místo vydání

London

Místo konání akce

Gdynia

Datum konání akce

15. 9. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000345394100152