Search Swinburne Research Bank
Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/25570
 Download PDF (4 pages) (Adobe Acrobat PDF, -1 bytes) |
- Title
- Towards general information processing models of the acquired immune system
- Author(s)
- Brownlee, Jason
- Abstract
- Previous works on the hierarchical acquired immune system framework have remarked at the strong similarity with regard to the information processing properties between the tissue and host algorithms. In particular the distinction between such algorithms may be considered ambiguous, specifically with regard to the minimal variation of algorithms at such scales in the framework. This work addresses this concern and in doing so identifies the potential for more commonality between the scales of the hierarchical framework. In addition to the minimal information processing properties between the tier, the additional commonalities are identified such as the interactions between principle components, and the triggered nature of adaptations. These identified common and abstracted information processing concerns are proposed as the first steps towards devising general (cross-tier) general information processing models inspired by the hierarchical framework.
- Publication type
- Technical report
- Research centre
- Swinburne University of Technology. Faculty of Information and Communication Technologies. Centre for Information Technology Research
- Source
- Complex Intelligent Systems : technical reports
- Publication year
- 2007
- Keyword(s)
- Acquired immune systems; Clonal selection; Framework; General models; Information processing
- Publisher
- Swinburne University of Technology
- Publisher URL
- http://www.ict.swin.edu.au/personal/jbrownlee/#2007
- Copyright
- Copyright © 2007 Jason Brownlee.
- Full text
