Conference paper
Issues of Digital Ecosystems Approach to Biological Ecosystem Simulation Model Fit Optimization
2013 Proceedings of the Information Systems Educators Conference, Vol.30, 2536
Information Systems Educators Conference (ISECON), 2013 (San Antonio, United States, 07-Nov-2013–10-Nov-2013)
Association of Information Technology Professionals, Education Special Interest Group (EDSIG)
2013
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..
Details
- Title
- Issues of Digital Ecosystems Approach to Biological Ecosystem Simulation Model Fit Optimization
- Authors
- Justin Debuse (Author) - University of the Sunshine Coast - Faculty of Arts and BusinessShah J Miah (Author) - Victoria UniversityValerie Debuse (Author) - Queensland Department of Agriculture, Fisheries and ForestrySimon A Lawson (Author) - Queensland Department of Agriculture, Fisheries and Forestry
- Publication details
- 2013 Proceedings of the Information Systems Educators Conference, Vol.30, 2536; 9
- Conference details
- Information Systems Educators Conference (ISECON), 2013 (San Antonio, United States, 07-Nov-2013–10-Nov-2013)
- Publisher
- Association of Information Technology Professionals, Education Special Interest Group (EDSIG)
- Date published
- 2013
- ISSN
- 2167-1435
- Copyright note
- Copyright © 2013 Association of Information Technology Professionals, Education Special Interest Group (EDSIG). Reproduced with permission of the publisher.
- Organisation Unit
- University of the Sunshine Coast, Queensland; Forest Industries Research Centre; Forest Research Institute
- Language
- English
- Record Identifier
- 99448985502621
- Output Type
- Conference paper
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