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A Theoretical Base for the Simulation of Information Systems
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Responsible organisation
2005 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Östersund: Mid Sweden University , 2005. , 58 p.
Series
Mid Sweden University licentiate thesis, ISSN 1652-8948 ; 8
Keyword [en]
Simulation, information system, design, modelling
National Category
Computer Science
Identifiers
URN: urn:nbn:se:miun:diva-5825Local ID: 3496ISBN: 91-85317-13-6 (print)OAI: oai:DiVA.org:miun-5825DiVA: diva2:30858
Presentation
(English)
Available from: 2008-09-30 Created: 2009-05-11 Last updated: 2009-07-10Bibliographically approved
List of papers
1. A base for simulating information distribution
Open this publication in new window or tab >>A base for simulating information distribution
2002 (English)In: Systems Theory and Practice in the Knowledge Age: Proceedings of the Seventh International Conference of the UK systems Society on Systems Theory and Practice in the Knowledge Age, held July 7-10, 2002 in York, United Kingdom, New York: Kluwer Academic/Plenum , 2002, 449-456 p.Conference paper, (Refereed)
Abstract [en]

A common problem with implementation of new communications hardware is that it is difficult to predict their effects on the information flow in an organisation. This leads to hardware investments, which are at best based on qualified guesses that they will improve the situation, and at worst based on half-pronounced promises from the local computer salesman. To help this problem it would be desirable to be able to simulate the information flow in an organisation in such a way that the effects of new hardware implementations could be studied. As the information flow in an organisation can be said to be a complex system, a Cellular Automata (CA) approach is appropriate to build such a simulation. CA approaches have been used for several simulations of complex situations before, as an example, models of combat (Dockery, and Woodcock, 1993) and models of traffic flow (Wahle, et al, 1999). In order to create a simulation, behaviour and information flows must be analysed and formalised using a computer-parsable notation language.

Place, publisher, year, edition, pages
New York: Kluwer Academic/Plenum, 2002
Keyword
information distribution, simulating
National Category
Computer and Information Science
Identifiers
urn:nbn:se:miun:diva-1385 (URN)000176703100052 ()107 (Local ID)0-306-47247-3 (ISBN)107 (Archive number)107 (OAI)
Available from: 2008-09-30 Created: 2009-07-10 Last updated: 2011-04-19Bibliographically approved
2. Simulations of Highly Complex Social Systems as a Tool for Designing Information Systems
Open this publication in new window or tab >>Simulations of Highly Complex Social Systems as a Tool for Designing Information Systems
2004 (English)In: Anticipatory systems and cybernetics. Soft computing and computional intelligence. Computer Science and simulation models.: Partial proceedings of the sixth international conference CASYS´03 on Computing Anticipatory Systems, Liége, Belgium, August 11-16, 2003 / [ed] Dubois, D M, Liege: CHAOS , 2004, Vol. 14, 286-298 p.Conference paper, (Refereed)
Abstract [en]

When designing information systems, it would be good to be able to compare alternatives. However, information systems are complex phenomena as they encompass the humans involved in distributing the information. One possible way of making comparisons would be through simulation. Having constructed a prototype for such a simulation we have seen that the traditional approaches, such as Cellular Automata, utilized within the social simulations field are usable but not sufficient. However, the newer agent-based approaches show more promise. We conclude that in order to make simulations of our kind possible, the new technologies, such as multi-agent systems, need be adapted and extended. One of the pieces missing is an agent-based infrastructure building on anticipatory principles for agent information behavior.

Place, publisher, year, edition, pages
Liege: CHAOS, 2004
Series
International journal of computing anticipatory systems, ISSN 1373-5411 ; 14
National Category
Computer Science
Identifiers
urn:nbn:se:miun:diva-7423 (URN)2-930396-01-6 (ISBN)
Conference
CATSYS´03
Available from: 2008-12-11 Created: 2008-12-07 Last updated: 2010-10-13Bibliographically approved
3. A Theoretical Base for High-level Simulation of Organisational Information Systems
Open this publication in new window or tab >>A Theoretical Base for High-level Simulation of Organisational Information Systems
2006 (English)In: Systems research and behavioral science, ISSN 1092-7026, E-ISSN 1099-1743, Vol. 23, no 6, 815-823 p.Article in journal (Refereed) Published
Abstract [en]

The design of organisational information systems is a study of the complex. An organisational information system in the Human Activity System sense, is the sum total of all that contributes to distributing information within an organisation. This includes the human actors participating in the system. Managing information about such a system is a difficult task. Technical support for measuring organisational information systems and comparing different ideas about organisational information systems would thus be useful. A high-level simulation of information systems could be such a technical support. There are a number of issues making such a simulation infeasible today. These mainly arise from the complexity of the simulation model, and in consequence of the data input problem. However, by introducing isomorphism and object templates, it is possible to solve some of these problems. In order to utilise these approaches, a framework for isomorphic simulations need to be developed.

Keyword
Information system, social system, social simulation, systems design, ImAOS
National Category
Computer Science
Identifiers
urn:nbn:se:miun:diva-3301 (URN)10.1002/sres.704 (DOI)000243494400010 ()2-s2.0-33846281838 (Scopus ID)3229 (Local ID)3229 (Archive number)3229 (OAI)
Available from: 2008-09-30 Created: 2008-09-30 Last updated: 2016-10-03Bibliographically approved
4. Defining the Information Part of Information System: A Base for Simulation
Open this publication in new window or tab >>Defining the Information Part of Information System: A Base for Simulation
2005 (English)In: IRIS 28: Proceedings of the 28th Information Systems Research Seminar in Scandinavia. IRIS 28, Kristiansand, Norway, August 6-9 2005, 2005Conference paper, (Refereed)
Abstract [en]

In order to construct a quantitative model of an information system, an operational definition of "information" is needed. This operational definition needs to mold the concept into a quantitative entity. There are many differend definitions of information already, but they have been formulated with other purposes. In this article the concept of operation is operationally defined with the long-term purpose of building simulation model of an information system where the human actors are considered part of the system. The concept is discussed from the viewpoint of earlier definitions, related concepts, things that happen to it and its various aspects. The curriculum of information is reformulated into quantitative terms, in order to finally arrive in a new definition of information within the current context: Information is an explicitly constructed message, always ultimately constructed by a sentient being. Along with describing the properties assigned to this entity, it is believed that it would be possible to construct a quantitative model of a complete information system.

Keyword
Information system, information
National Category
Computer Science
Identifiers
urn:nbn:se:miun:diva-3302 (URN)3231 (Local ID)3231 (Archive number)3231 (OAI)
Available from: 2008-09-30 Created: 2008-09-30 Last updated: 2010-10-19Bibliographically approved

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