Self-Organisation of Evolving Agent Populations in Digital Ecosystems

by   Gerard Briscoe, et al.
University of Cambridge
Heriot-Watt University

We investigate the self-organising behaviour of Digital Ecosystems, because a primary motivation for our research is to exploit the self-organising properties of biological ecosystems. We extended a definition for the complexity, grounded in the biological sciences, providing a measure of the information in an organism's genome. Next, we extended a definition for the stability, originating from the computer sciences, based upon convergence to an equilibrium distribution. Finally, we investigated a definition for the diversity, relative to the selection pressures provided by the user requests. We conclude with a summary and discussion of the achievements, including the experimental results.


page 32

page 33

page 36

page 37


The Computing of Digital Ecosystems

A primary motivation for our research in digital ecosystems is the desir...

Stability of Evolving Multi-Agent Systems

A Multi-Agent System is a distributed system where the agents or nodes p...

Digital Ecosystems: Ecosystem-Oriented Architectures

We view Digital Ecosystems to be the digital counterparts of biological ...

Evolution of differentiated expression patterns in digital organisms

We investigate the evolutionary processes behind the development and opt...

Self-adaptive exploration in evolutionary search

We address a primary question of computational as well as biological res...

Addressing the unmet need for visualizing Conditional Random Fields in Biological Data

Background: The biological world is replete with phenomena that appear t...

Please sign up or login with your details

Forgot password? Click here to reset