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Duration: 12 months
Starting date: October 2002
Status: Concluded

EEII: “Evolution and Ecology of Interacting Infohabitants" - Past Research Projects
Project Summary
The overall goal is to convince EU information system designers & researchers that the study of the ecology of infohabitants will give them valuable insights in system design. It is a main objective to study the ecology of a system of interacting intelligent infohabitants, especially the scalability, openness, adaptability and stability of the ecosystem. It is important to note that this project is visionary and exploratory in nature, and comprises mainly research. Hence, many of our operational goals are in terms of research results.

This project’s operational goals are:
  • Define intelligent interaction, or interaction of intelligent infohabitants. We aim to specify a high-level interaction that shows intelligence. This will be achieved by study of the ontology, language and adaptation of the intelligent infohabitant.
  • Find the properties of the ecology of infohabitants that are worth studying. This will help to make our current definitions of scalability, openness, adaptability and stability more concrete, by taking the mathematical definitions of these concepts from the dynamical systems and translating them to the world of infohabitants. This will enable us to make predictions about the scalability of our ecology of infohabitants, a specific operational goal.
  • Another goal is to understand the openness with respect to integration of new types of intelligent infohabitant. This will be studied via population dynamics and via the study of networks of infohabitats . Adaptability will be understood by studying how the adaptability of the individual infohabitants, part of their intelligence, interacts with the adaptability of the infohabitat and with the adaptability of the ecosystem as a whole. Then it is our desire to understand the specific conditions of stability of the ecosystem.
  • Understand how the complexity of interaction of the infohabitants influences the behaviour of the ecology.
  • Using all simulation packages, which we develop to reach and validate our operational goals, we will build an information ecosystem concentrating on infohabitants managing resources in a micro-economic context.
Key issues:
  • The information world can be modelled as ecosystems with infohabitats and infohabitants.
  • Study of the ecology of the interacting intelligent infohabitants in terms of, scalability, openness, adaptability and stability will lead to a better understanding for developers and researchers to work on.
Technical approach:
  • Methods used are firmly rooted in Computer systems and management science.
  • The methodologies we provide will be based on soft computing techniques and infohabitant co-operation mechanisms.
  • This shall provide the description of the process for an emerging ontology within the constraints of a meta-ontology of operations management.
  • This description will help to automate the emerging of the ontology, moving the process from the human-to-human interaction domain to the information Ecosystem domain.
Expected achievements:
  • Our measure of success is that our operational goals will lead to a publication accepted in a channel widely accessed by European systems designers & researchers.
  • Therefore, making them aware that the study of the ecology of infohabitants will give valuable insights in system design.
Expected achievements:
  • If our ecological views are adopted by information system designers then this will lead to a sustainable growth of stable information systems.
  • Our research will lead to insights about the openness of the ecosystem composed of information systems
Research Areas
  • Information Ecosystems
  • Soft-Computing
  • Multi-Agent Systems
  • (Emerging) Ontology


Official web site: www.ee.ic.ac.uk/research/neural/eeii.html