Complex agent-based models: application of a constructivism in the economic research

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dc.contributor.author Bureš, Vladimír
dc.contributor.author Tučník, Petr
dc.contributor.other Ekonomická fakulta cs
dc.date.accessioned 2014-08-29
dc.date.available 2014-08-29
dc.identifier.issn 12123609
dc.identifier.uri https://dspace.tul.cz/handle/15240/7093
dc.description.abstract The current state in research of economic systems is characterised by two prevailing issues. Firstly, study of economic systems is traditionally based on analytical and econometric tools, which have been the main arbiters of the veracity or plausibility of assumptions and hypotheses in economics. This approach has been proved to be highly suitable for theory development. Secondly, practical issues and necessity to support decision-making led to development of various modelling and simulation techniques or tools. However, majority of these approaches usually fail when coping with complexity. Furthermore, several main areas of interest can be identified in the business and economics modelling. Nevertheless, these areas are mostly independent due to their problem-based focusing on particular issues and their solutions. Depicted gaps might be bridged with the help of new modelling paradigms that have been established only recently. Application of agent-based modelling in the realm of economic systems is labelled as Agent-based Computational Economics (ACE). In particular sections of this paper results of experiments run on the novel model are described. The model is based on agents, which are described as a vector of several observed parameters, and four types of agents are used, namely consumer agent, factory agent, mining agent, and transportation agent. In addition, a colony is added as the fifth type of meta-agent. Scalability and configuration options of the model enable for various configuration and thus for conducting specific experiments. The presented system is already implemented as a prototype version in the NetLogo environment. The paper depicts two example scenarios, resource production and resource proximity, and offers interpretation of achieved results. Since most of the work done so far was focused on individual agents, group perspective as an important extension of ACE modelling is suggested as the further research and development direction. en
dc.format text
dc.format.extent 152-168 s. cs
dc.language.iso en
dc.publisher Technická Univerzita v Liberci cs
dc.publisher Technical university of Liberec, Czech Republic en
dc.relation.ispartof Ekonomie a Management cs
dc.relation.ispartof Economics and Management en
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dc.rights CC BY-NC
dc.subject computer science en
dc.subject student’s evaluation en
dc.subject experience en
dc.subject informatics en
dc.subject research en
dc.subject teaching en
dc.subject.classification C6
dc.subject.classification D8
dc.subject.classification M2
dc.title Complex agent-based models: application of a constructivism in the economic research en
dc.type Article en
dc.date.defense 2014-09-04
dc.publisher.abbreviation TUL
dc.relation.isrefereed true
dc.identifier.doi 10.15240/tul/001/2014-3-012
dc.identifier.eissn 2336-5604
local.relation.volume 17
local.relation.issue 3
local.relation.abbreviation E&M en
local.relation.abbreviation E+M cs
local.faculty Faculty of Economics
local.citation.spage 152
local.citation.epage 168
local.access open
local.fulltext yes


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