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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Validation of agent-based approach for simulating the conversion to organic farming</dc:title><dc:creator>Rozman,	Črtomir	(Avtor)
	</dc:creator><dc:creator>Škraba,	Andrej	(Avtor)
	</dc:creator><dc:creator>Pažek,	Karmen	(Avtor)
	</dc:creator><dc:creator>Kofjač,	Davorin	(Avtor)
	</dc:creator><dc:subject>agent-based models</dc:subject><dc:subject>organic farming</dc:subject><dc:subject>system dynamics</dc:subject><dc:subject>validation</dc:subject><dc:subject>multimethod simulation</dc:subject><dc:description>Background and Purpose: The purpose of this study is to describe the principles of the development of parallel system-dynamics and agent-based models of organic farming for the case of Slovenia. The advantage of agent-based modeling is demonstrated by including geospatial information as an agent attribute. The models were compared by the validation, confirming the appropriate level of similarity.

Design/Methodology/Approach: Both system-dynamics and agent-based modeling approaches were applied. Statistical methods were used in the validation.

Results: The results of the validation confirm the appropriateness of the proposed agent-based model. Introducing additional attributes into the agent-based model provides an important advantage over the system-dynamics model, which serves as the paradigmatic example.

Conclusion: A thorough validation and comparison of the results of the system-dynamics and agent-based models indicates the proper approach to combining the methodologies. This approach is promising, because it enables the modeling of the entire agricultural sector, taking each particular farm into account.</dc:description><dc:date>2017</dc:date><dc:date>2017-09-01 12:47:31</dc:date><dc:type>Znanstveno delo</dc:type><dc:identifier>67890</dc:identifier><dc:identifier>ISSN: 1318-5454</dc:identifier><dc:identifier>UDK: 631.147:004.414.23</dc:identifier><dc:identifier>OceCobissID: 610909</dc:identifier><dc:identifier>COBISS_ID: 4343084</dc:identifier><dc:identifier>DOI: 10.1515/orga-2017-0018</dc:identifier><dc:identifier>ISSN pri članku: 1318-5454</dc:identifier><dc:identifier>NUK URN: URN:SI:UM:DK:HKBLFVEA</dc:identifier><dc:language>sl</dc:language></metadata>
