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Web *.0 ? Combining peer production and peer-to-peer systems

This presentation discusses the potential of combining peer production and peer-to-peer systems to create distributed, self-organised peer production systems with no central control or administration costs. It explores the challenges of the "rationality gap" and the "power gap" in distributed ICT design, and proposes the application of complexity science to address these gaps. The goal is to develop socially intelligent ICT tools and models for self-organising ICT, with prototype systems and empirical evaluations.

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Web *.0 ? Combining peer production and peer-to-peer systems

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  1. Web *.0 ?Combining peer production and peer-to-peer systems Personal view of work in the scope of the call Objective IST-2007.8.4 FET proactive David Hales University of Bologna, Italy COSI Info. Event, Brussels 24/01/08

  2. Self-* + Web2.0 = Web *.0 ? • Current Web2.0 apps. enable and channel user behaviour for “peer production”. Also leverage social networks • But highly centralised = expensive, difficult to administer, single points of failure and security / privacy + control • Current P2P apps. provide limited user interaction but operate via distributed self-organised cooperative networks between nodes (so-called self-* systems) COSI Info. Event, Brussels 24/01/08

  3. Self-* + Web2.0 = Web *.0 ? • If the two approaches can be combined = distributed, self-organised peer production systems with no central control, administration, set-up or running costs • In fact, ultimately, if new code itself could be propagated through such networks they could transform themselves into any kind of social application over time (compare facebook apps) • A techno-social operating system? Web *.0 ? COSI Info. Event, Brussels 24/01/08

  4. Two open issues • But to achieve this we need to tackle two serious open issues in distributed ICT design • The “rationality gap” • The “power gap” • These issues require careful theoretical and empirical work to address COSI Info. Event, Brussels 24/01/08

  5. The Rationality Gap • Distributed systems designers often assume users and components: • Behave altruistically • Behave in an economically rational way • But open systems can’t assume altruism: we don’t live in “hippie world” • Rational action theory relies on assumptions that don’t hold either COSI Info. Event, Brussels 24/01/08

  6. The Rationality Gap Gap in the middle Bounded Rationality learning / adaptation Altruistic Rational COSI Info. Event, Brussels 24/01/08

  7. The Power Gap • Distributed systems designers often assume users and components are: • Centrally administered or controlled • Are completely independent and autonomous • But central control is not possible in massive open systems • Complete autonomy is rare because components are interdependent COSI Info. Event, Brussels 24/01/08

  8. The Power Gap Gap in the middle Complex and changing social structures Central Control Complete Autonomy COSI Info. Event, Brussels 24/01/08

  9. Complexity Science to the Rescue! • It is precisely in these gaps that complex systems are found • Bounded rational and adaptive behaviours • Complex evolving networks • Emergent structures and learning models • Results and approaches from complex systems science can be applied COSI Info. Event, Brussels 24/01/08

  10. fully centralised traditional distributed systems simple networks complex adaptive systems and agent-based social simulation computational sociology complex networks Social Structure complex evolving network models distributed systems groups peer-to-peer systems evolutionary game theory and evolutionary economics biological models game theory fully decentralised altruistic individual social evolutionary rational learning / adaptation User Rationality COSI Info. Event, Brussels 24/01/08

  11. What to do? • Bring together leading EU: • Distributed systems designers (in the gap) • Social / complex systems modellers • Produce plausible (predictive?) models of both user rationalities, distributed ICT protocols and social structures • Apply them to open problem domains in self-organising ICT • Analyse empirical results and revise models COSI Info. Event, Brussels 24/01/08

  12. Outputs • Tools and models for developing next-generation socially intelligent ICT • Socially intelligent design patterns • Prototype systems / simulations • Empirical evaluations from prototype systems => need a large initial user based to achieve this COSI Info. Event, Brussels 24/01/08

  13. Areas, methods, applications Self-org ICT (P2P) Complex systems models Social science designs, prototypes and tools Prototype applications Empirical analysis Theory revision COSI Info. Event, Brussels 24/01/08

  14. FINI COSI Info. Event, Brussels 24/01/08

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