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CALL FOR PAPERS OR EXTENDED ABSTRACT
Epistemological Perspectives on Simulation 2012 (EPOS V)

San Antonio, Texas, USA
October 10-12, 2012

trinity.edu/epos
Manuscript Submission: July 1, 2012.
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Epistemological Perspectives on Simulation 2012

EPOS V Call for papers

Like its predecessors the workshop wants to provide a forum for researchers from various disciplines, such as the social sciences, economics, computer science, engineering or the natural sciences, who are interested in discussing epistemological aspects of simulation across disciplinary boundaries. Philosophers are highly welcome, too.

Topics to be addressed in the workshop include, but are not restricted to issues such as the epistemology of simulation, credentials for model building, and standards for presenting and analyzing simulation results.

Following the tradition of most of the previous EPOS workshops, we intend to publish a selection of the accepted papers in a special issue of a journal after a further reviewing process (subject to discussion with respective journal editors).

Authors are requested to send their papers (about 5,000-8,000 words) or an extended abstract of about 1000 words in electronic format (.doc, .rtf or .pdf
format) via e-mail to Dante Suarez (esuarez@trinity.edu). Authors should include all the details about surname, first name, affiliation, mailing address, country, and e-mail inside the e-mail text (not inside the abstract). Each abstract will be reviewed by two members of the program committee at least. The committee will consider also abstracts, although full papers are preferred. For any information, please contact Dante Suarez (esuarez@trinity.edu).

Important deadlines are as follows:

• July 1, 2012: Submission of papers or extended abstracts

• August 21, 2012: Notification of acceptance

• September 15, 2012: Receipt of full papers

• October 10-12, 2012: Workshop, San Antonio, Texas, USA

Topics to be addressed in the workshop include, but are not restricted to, issues such as:

• Link between theory and simulation models

• Empirical reality and data in simulation models

• Internal and external validation strategies and methods in computational models

• Examples of models able to integrate computational modelling and other research methods (such as, for example, experimental, statistical, qualitative
methods)

• Standards for presenting and analyzing simulation results

• Modelling strategies (KISS vs. KIDS)

• Epistemological issues on theory building and computer simulation

• Common points and differences between physical and social complex systems modelling

• Epistemological consequences of generative method and explanation