Adaptation to Market Development Through Price Setting Strategies in Agent-Based Artificial Economic Model

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F17%3A50013435" target="_blank" >RIV/62690094:18450/17:50013435 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/chapter/10.1007/978-3-319-67074-4_53/fulltext.html" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-67074-4_53/fulltext.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-67074-4_53" target="_blank" >10.1007/978-3-319-67074-4_53</a>

Result language

angličtina

Original language name

Adaptation to Market Development Through Price Setting Strategies in Agent-Based Artificial Economic Model

Original language description

The paper is focused on the incorporation of costs in relation to the selection of the price setting strategies which, in general, represent crucial part of economic agents’ decision making. Study and research of efficient decision making related to the price setting are important especially in agent-based economic systems which are intended application area for obtained results. This paper provides detailed description of various cost types used in traditional economic analysis and an effort has been made to identify constant (i.e. stable) and/or dynamic factors, typically related to the volume of production) in the cost calculation. Simulation part supports provided discussion about these design questions of artificial economic models in several scenarios.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

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

Article name in the collection

Computational Collective Intelligence

ISBN

978-3-319-67073-7

ISSN

0302-9743

e-ISSN

neuvedeno

Number of pages

10

Pages from-to

548-557

Publisher name

Springer International Publishing

Place of publication

Cham

Event location

Nicosia, Kypr

Event date

Sep 27, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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