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Issues of digital ecosystems approach to biological ecosystems simulation model fit optimization

Debuse, J, Miah, Shah Jahan ORCID: 0000-0002-3783-8769, Debuse, V and Lawson, S (2013) Issues of digital ecosystems approach to biological ecosystems simulation model fit optimization. In: 'Business Intelligence in a World of Big Data' - CONISAR 2013: Conference on Information Systems Applied Research, 07 November 2013-10 November 2013, San Antonio, Texas.

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Abstract

This study examines the application of digital ecosystems concepts to a biological ecosystem simulation problem. The problem involves the use of a digital ecosystem agent to optimize the accuracy of a second digital ecosystem agent, the biological ecosystem simulation. The study also incorporates social ecosystems, with a technological solution design subsystem communicating with a science subsystem and simulation software developer subsystem to determine key characteristics of the biological ecosystem simulation. The findings show similarities between the issues involved in digital ecosystem collaboration and those occurring when digital ecosystems interact with biological ecosystems. The results also suggest that even precise semantic descriptions and comprehensive ontologies may be insufficient to describe agents in enough detail for use within digital ecosystems, and a number of solutions to this problem are proposed.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Digital ecosystems; Simulation; Optimization; Ontologies
Subjects: FOR Classification > 0806 Information Systems
Faculty/School/Research Centre/Department > College of Business
Depositing User: Symplectic Elements
Date Deposited: 21 Dec 2015 23:15
Last Modified: 07 May 2019 23:48
URI: http://vuir.vu.edu.au/id/eprint/28971
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