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What Software Engineering Has to Offer to Agent-Based Social Simulation
School of Computer Science, Nottingham University, Nottingham, UK.
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-1470-6288
2017 (English)In: Simulating Social Complexity: A Handbook / [ed] Bruce Edmonds, Ruth Meyer, Springer, 2017, 2, p. 81-117Chapter in book (Refereed)
Abstract [en]

In simulation projects, it is generally beneficial to have a toolset that allows following a more formal approach to system analysis, model design and model implementation. Such formal methods are developed to support a systematic approach by making different steps explicit as well as providing a precise language to express the results of those steps, documenting not just the final model but also intermediate steps. This chapter consists of two parts: the first gives an overview of which tools developed in software engineering can be and have been adapted to agent-based social simulation; the second part demonstrates with the help of an informative example how some of these tools can be combined into an overall structured approach to model development.

Place, publisher, year, edition, pages
Springer, 2017, 2. p. 81-117
Series
Understanding Complex Systems, ISSN 1860-0832, E-ISSN 1860-0840
Keywords [en]
Agent-Based Social Simulation, Software Engineering, Social Simulation, Computer Science, Extreme Programming, Agent-Oriented Software Engineering, Object Oriented Software Engineering, Pair Programming, Artificial Intelligence, Cognitive Science, Business Management, Psychology
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-64673DOI: 10.1007/978-3-319-66948-9_6Scopus ID: 2-s2.0-85035332234ISBN: 978-3-319-66947-2 (print)ISBN: 978-3-319-66948-9 (electronic)OAI: oai:DiVA.org:oru-64673DiVA, id: diva2:1178805
Available from: 2018-01-30 Created: 2018-01-30 Last updated: 2018-01-31Bibliographically approved

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Klügl, Franziska

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