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Philippe De Wilde

  1. Self-Organisation of Evolving Agent Populations in Digital Ecosystems.

    Wed, 01/25/2012 - 15:01 — SomNambul
    Authors: Gerard Briscoe, Philippe De Wilde
    Subjects: Neural and Evolutionary Computation
    Abstract

    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.

  2. Stability of Evolving Multi-Agent Systems.

    Thu, 12/01/2011 - 15:01 — SomNambul
    Authors: Gerard Briscoe, Philippe De Wilde
    Subjects: Multiagent Systems
    Abstract

    A Multi-Agent System is a distributed system where the agents or nodes
    perform complex functions that cannot be written down in analytic form.
    Multi-Agent Systems are highly connected, and the information they contain is
    mostly stored in the connections. When agents update their state, they take
    into account the state of the other agents, and they have access to those
    states via the connections. There is also external, user-generated input into
    the Multi-Agent System. As so much information is stored in the connections,
    agents are often memory-less.

  3. The Computing of Digital Ecosystems.

    Mon, 01/31/2011 - 16:01 — SomNambul
    Authors: Gerard Briscoe, Philippe De Wilde
    Subjects: and Cluster Computing, Distributed, Parallel
    Abstract

    A primary motivation for our research in digital ecosystems is the desire to
    exploit the self-organising properties of biological ecosystems. Ecosystems are
    thought to be robust, scalable architectures that can automatically solve
    complex, dynamic problems.

Math-arch

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