 SimulationMichael Filzmoser
Chapter Chapter 2 in Simulation of Automated Negotiation, 2010, pp 15-44 from Springer Abstract: Abstract Simulation is a scientific technique to investigate real-world systems in performing experiments on a computer. To study systems on a computer first the general system behavior and the system components’ interactions have to be specified in form of mathematical or logical relationships, which constitutes a model of the real-world system of interest. In the special case of agent-based simulation one specifies the individual behavior of the single agents in mathematical or logical form to investigate the emergent behavior of the system they constitute. This model itself is a system abstracting from the real-world system, but representing specific aspects of interest — depending on the goals and intentions of the simulation — and can be implemented as a simulation program that is understood by and runs on a computer [122, 162]. If the model is a sufficiently accurate representation of the real-world system’s aspects of interest and is correctly implemented in a simulation program, the results of experimentation with the simulation program permit conclusions about the real-world system i.e. the original [157].1 Date: 2010 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7091-0133-9_2 Ordering information: This item can be ordered from DOI: 10.1007/978-3-7091-0133-9_2 Access Statistics for this chapter More chapters in Springer Books from Springer |
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