Paper Info
Title
Chaos and Budworm Dynamics of Agent Interactions: A Biologically-Inspired Approach to Digital Ecosystems
Abstract
A primary motivation for research in digital ecosystems is the desire to exploit the self-organized properties of natural ecosystems. Ecosystems are thought to be robust, scalable architectures that can automatically solve complex, dynamic problems. However, the biological processes that contribute to these properties have not been made explicit in digital ecosystem research. Here, we discuss how biological properties contribute to the self-organized features of natural ecosystems. These properties include populations of evolving agents, a complex dynamic environment, and spatial distributions which generate local interactions. The potential for exploiting these properties is then considered. Theoretical and conceptually inspired from nature, the digital ecosystem could behave at large complex cycles of stability through alternate stable states. These approaches suggest that incorporating ideas from theoretical ecology can contribute to useful self-organized properties in digital ecosystems.
Year
DOI
Venue
2008
10.1007/978-3-540-88636-5_84
MICAI
Keywords
Field
DocType
biological process,agent interactions,self-organized feature,useful self-organized property,biologically-inspired approach,natural ecosystem,large complex cycle,biological property,budworm dynamics,digital ecosystem research,digital ecosystem,digital ecosystems,complex dynamic environment,self-organized property,alternate stable states,complexity,complex dynamics,self organization
Data science,Computer science,Simulation,Digital ecosystem,Exploit,Artificial intelligence,Alternative stable state,Theoretical ecology,Dynamic problem,Machine learning,Scalability,Ecosystem
Conference
Volume
ISSN
Citations 
5317
0302-9743
1
PageRank 
References 
Authors
0.35
3
2
Name
Order
Citations
PageRank
Gabriel Alejandro Lopardo1253.40
Fátima N. Rateb210.35