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

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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.

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)
URI http://vuir.vu.edu.au/id/eprint/28971
Official URL http://proc.isecon.org/2013/pdf/2536.pdf
Subjects Current > FOR Classification > 0806 Information Systems
Historical > Faculty/School/Research Centre/Department > College of Business
Keywords Digital ecosystems; Simulation; Optimization; Ontologies; social ecosystem, interaction, ontology, semantic description, mathematical model, collaboration
Citations in Scopus 0 - View on Scopus
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