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A Comparison of Three Approaches to Model Human Behavior
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för informationsteknologi och medier.
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för informationsteknologi och medier.ORCID-id: 0000-0002-6593-909X
2010 (Engelska)Ingår i: COMPUTING ANTICIPATORY SYSTEMS CASYS'09 / [ed] Daniel M Dubois, Liège: CHAOS , 2010, s. 354-362Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

One way of studying social processes is through the use of simulations. The use of simulations for this purpose has been established as its own field, social simulations, and has been used for studying a variety of phenomena. A simulation of a social setting can serve as an aid for thinking about that social setting, and for experimenting with different parameters and studying the outcomes caused by them. When using the simulation as an aid for thinking and experimenting, the chosen simulation approach will implicitly steer the simulationist towards thinking in a certain fashion in order to fit the model. To study the implications of model choice on the understanding of a setting where human anticipation comes into play, a simulation scenario of a coffee room was constructed using three different simulation approaches: Cellular Automata, Systems Dynamics and Agent-based modeling. The practical implementations of the models were done in three different simulation packages: Stella for Systems Dynamic, CaFun for Cellular Automata and SesAM for Agent-based modeling. The models were evaluated both using Randers' criteria for model evaluation, and through introspection where the authors reflected upon how their understanding of the scenario was steered through the model choice. Further the software used for implementing the simulation models was evaluated, and practical considerations for the choice of software package are listed. It is concluded that the models have very different strengths. The Agent-based modeling approach offers the most intuitive support for thinking about and modeling a social setting where the behavior of the individual is in focus. The Systems Dynamics model would be preferable in situations where populations and large groups would be studied as wholes, but where individual behavior is of less concern. The Cellular Automata models would be preferable where processes need to be studied from the basis of a small set of very simple rules. It is further concluded that in most social simulation settings the Agent-based modeling approach would be the probable choice. This since the other models does not offer much in the way of supporting the modeling of the anticipatory behavior of humans acting in an organization.

Ort, förlag, år, upplaga, sidor
Liège: CHAOS , 2010. s. 354-362
Serie
AIP Conference Proceedings, ISSN 0094-243X ; 1303
Nyckelord [en]
Social simulation, Agent based modeling, Cellular Automata, Systems Dynamics, Model comparison
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Identifikatorer
URN: urn:nbn:se:miun:diva-10988DOI: 10.1063/1.3527173ISI: 000287168400038Scopus ID: 2-s2.0-79251537772ISBN: 978-0-7354-0858-6 (tryckt)OAI: oai:DiVA.org:miun-10988DiVA, id: diva2:285186
Konferens
9th International Conference on Computing Anticipatory Systems, CASYS'09; Liege; 3 August 2009 through 8 August 2009
Tillgänglig från: 2010-01-11 Skapad: 2010-01-11 Senast uppdaterad: 2018-01-12Bibliografiskt granskad
Ingår i avhandling
1. Organization-level information systems: Tools for supporting the development process
Öppna denna publikation i ny flik eller fönster >>Organization-level information systems: Tools for supporting the development process
2010 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

All organizations have an information system. An information system is all that which contribute to the distribution within an organization, and without the information system, the organization would not survive. Despite this, work with changing or constructing information systems often end up with suboptimal results. In recent scientific articles, and within profession-specific newspapers, the figures on how many such project end up as failures range between 70 and 80 percent. One source of problems with information systems work is deficiencies of the governance of the change processes. Further, many methods applied to information systems work are in fact software systems method and may thus be suspected to miss important aspects of the information system. In this thesis I have studied approaches for supporting the information systems development process. These approaches have all included trying to find aspects of the information system and trying to measure, simulate or in other ways asses them in order to get an overview of where effort has to be added in the development process.The results of the thesis include recommendations surrounding the simulations of such aspects, as well as a model where the aspects have been formulated into criteria for information system evaluation. The CISE model (Criteria for Information Systems Evaluation) is the main product, and it is available to useas a checklist during information systems work.

Abstract [sv]

Alla organisationer har ett informationssystem. Ett informationsystem är allt det som inom en organisation bidrar till att sprida information, och utaninformationssystemet skull organisationen inte överleva. Trots detta resulterar arbete med att ändra och bygga informationssystem ofta i resultat som är sämre än önskvärda. I senare vetenskapliga artiklar, och inom den professionella pressen, nämns ofta siffror kring 70-80 procent i samband med hur ofta dessa projekt misslyckas.En källa till problem med informationssystemsarbete är brister i styrningen av förändringsprocesserna. Vidare, många metoder som används för informationssystemsarbete är egentligen metoder avsedda för mjukvaruutveckling, och som därmed kan misstänkas missa viktiga aspekter när de tillämpas på informationssystem. I den här avhandlingen har jag studerat angreppssätt för att stödja informationssystemsutvecklingsprocessen. Dessa angreppssätt satsar alla påatt hitta aspekter av informationsystem, och att försöka mäta, simulera eller i andra former uppskatta aspekterna för att få en översikt över var mer kraft behövs i utvecklingsprocessen. Resultaten av avhandlingen inkluderar rekommendationer kring simulering av sådana aspekter, samt en model där aspekterna formulerats som kriterierför utvärdering av informationssystem. CISE-modellen (Criteria for InformationSystems Evaluation) är den främsta produkten av avhandlingen, och den gåratt använda som en checklista under informationssystemsarbete.

Ort, förlag, år, upplaga, sidor
östersund: Mid Sweden Univ, 2010. s. 71
Serie
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 94
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:miun:diva-12112 (URN)978-91-86073-93-0 (ISBN)
Tillgänglig från: 2010-10-12 Skapad: 2010-10-12 Senast uppdaterad: 2018-01-12Bibliografiskt granskad

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