Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W3, 91-95, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W3/91/2014/
doi:10.5194/isprsarchives-XL-2-W3-91-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
22 Oct 2014
Validation techniques of agent based modelling for geospatial simulations
M. Darvishi1 and G. Ahmadi2 1PhD Candidate in Remote Sensing, Department of Remote Sensing and GIS, Geography Faculty, Tehran University, Tehran, Iran
2PhD Candidate in meteorology, Department of Geography, Science and Research Branch, Islamic Azad University, Tehran, Iran
Keywords: Verification, validation, calibration, agent based modelling, Error, Artefact Abstract. One of the most interesting aspects of modelling and simulation study is to describe the real world phenomena that have specific properties; especially those that are in large scales and have dynamic and complex behaviours. Studying these phenomena in the laboratory is costly and in most cases it is impossible. Therefore, Miniaturization of world phenomena in the framework of a model in order to simulate the real phenomena is a reasonable and scientific approach to understand the world. Agent-based modelling and simulation (ABMS) is a new modelling method comprising of multiple interacting agent. They have been used in the different areas; for instance, geographic information system (GIS), biology, economics, social science and computer science. The emergence of ABM toolkits in GIS software libraries (e.g. ESRI’s ArcGIS, OpenMap, GeoTools, etc) for geospatial modelling is an indication of the growing interest of users to use of special capabilities of ABMS. Since ABMS is inherently similar to human cognition, therefore it could be built easily and applicable to wide range applications than a traditional simulation. But a key challenge about ABMS is difficulty in their validation and verification. Because of frequent emergence patterns, strong dynamics in the system and the complex nature of ABMS, it is hard to validate and verify ABMS by conventional validation methods. Therefore, attempt to find appropriate validation techniques for ABM seems to be necessary. In this paper, after reviewing on Principles and Concepts of ABM for and its applications, the validation techniques and challenges of ABM validation are discussed.
Conference paper (PDF, 1750 KB)


Citation: Darvishi, M. and Ahmadi, G.: Validation techniques of agent based modelling for geospatial simulations, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W3, 91-95, doi:10.5194/isprsarchives-XL-2-W3-91-2014, 2014.

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