Dual-Space Information Modeling of Socio-Economic Systems under Information Asymmetry

Information definitions across many disciplines commonly treat information as a physical world entity. Information measures are used along with other physical variables undistinguished for modeling physical systems. Building on previous work, this research explicitly defines information as a unique...

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Main Authors: Lei Bao, Joseph Fritchman
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/21/5/528
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author Lei Bao
Joseph Fritchman
author_facet Lei Bao
Joseph Fritchman
author_sort Lei Bao
collection DOAJ
description Information definitions across many disciplines commonly treat information as a physical world entity. Information measures are used along with other physical variables undistinguished for modeling physical systems. Building on previous work, this research explicitly defines information as a unique category of entity that is created by intelligent agents to represent aspects of the physical world but that is not part of the physical world. This leads to the formation of the dual-space information modeling (DSIM) framework, which clearly distinguishes an information space from the physically based material space. The separation of information and material spaces allows new insight and flexibility into modeling complex systems. In this research, DSIM based agent models are applied to study the impact of information asymmetry to marketing behaviors. This paper demonstrates the effectiveness of the DSIM framework in the modeling process and how emergent behavior from these systems is encapsulated in the dual-space.
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spelling doaj.art-90c94ee8d2484908b85f836e4ff8594b2022-12-22T04:22:04ZengMDPI AGEntropy1099-43002019-05-0121552810.3390/e21050528e21050528Dual-Space Information Modeling of Socio-Economic Systems under Information AsymmetryLei Bao0Joseph Fritchman1The Ohio State University, Columbus, OH 43210, USAThe Ohio State University, Columbus, OH 43210, USAInformation definitions across many disciplines commonly treat information as a physical world entity. Information measures are used along with other physical variables undistinguished for modeling physical systems. Building on previous work, this research explicitly defines information as a unique category of entity that is created by intelligent agents to represent aspects of the physical world but that is not part of the physical world. This leads to the formation of the dual-space information modeling (DSIM) framework, which clearly distinguishes an information space from the physically based material space. The separation of information and material spaces allows new insight and flexibility into modeling complex systems. In this research, DSIM based agent models are applied to study the impact of information asymmetry to marketing behaviors. This paper demonstrates the effectiveness of the DSIM framework in the modeling process and how emergent behavior from these systems is encapsulated in the dual-space.https://www.mdpi.com/1099-4300/21/5/528informationagent based modelingcomplex systemsinformation asymmetrycomputational economics
spellingShingle Lei Bao
Joseph Fritchman
Dual-Space Information Modeling of Socio-Economic Systems under Information Asymmetry
Entropy
information
agent based modeling
complex systems
information asymmetry
computational economics
title Dual-Space Information Modeling of Socio-Economic Systems under Information Asymmetry
title_full Dual-Space Information Modeling of Socio-Economic Systems under Information Asymmetry
title_fullStr Dual-Space Information Modeling of Socio-Economic Systems under Information Asymmetry
title_full_unstemmed Dual-Space Information Modeling of Socio-Economic Systems under Information Asymmetry
title_short Dual-Space Information Modeling of Socio-Economic Systems under Information Asymmetry
title_sort dual space information modeling of socio economic systems under information asymmetry
topic information
agent based modeling
complex systems
information asymmetry
computational economics
url https://www.mdpi.com/1099-4300/21/5/528
work_keys_str_mv AT leibao dualspaceinformationmodelingofsocioeconomicsystemsunderinformationasymmetry
AT josephfritchman dualspaceinformationmodelingofsocioeconomicsystemsunderinformationasymmetry