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AIW01 (November 2010 @ CRI)

Fabien Benetou

Qui est-il ? Peut-on lui faire confiance pour resoudre la problematique qu'il va proposer ?

  • (very partial) learning process
    • from TI83 assembly programming
    • to what is information
    • to information theory
    • to still what is information
    • to physics of information, biological systems as information, economical systems, etc (thus still geeking but across multiple domains)
  • finally interested in epistemology (esp. naturalistic models)
  • curious Internet participant (cf ) and wikis addict

(engineer education, UTC, and working on a start-up project)


Quel est le probleme ? Shift from physical and spatial boundaries to an interconnected set of communities thus leading to appearance of "virtual" boundaries.

  1. Are there justified boundaries between knowledge communities?
    1. As a user, are you getting locked-in in the wrong community?
    2. As a "community manager", are you keeping the wrong people out?

Questions originated while considering Seeks user as "resources" not exploited by Google and vice-versa then extending to other behavior-based collaboration platforms.


Pourquoi ce probleme est-t-important ? Va-t-il ouvrir de nombreux sous-problemes interessants ? Quel pourrait etre les conquesences de trouver le resultat a ce probleme ?

  • identify existing rule systems
  • link rule systems to boundaries and boundaries to outcomes
  • understand
    • how existing boundaries emerged
    • why and when they are justified
    • when they should be reproduced
  • provide a normative framework on rule systems to handle boundaries

Proposed method

Comment va-t-il resoudre de probleme ? Est-ce valide ?

  1. abstract representative knowledge communities to rules systems
  2. use evolutionary epistemology to study those systems over time
  3. use evolutionary game theory to study the interaction of those systems
    • cf The evolution of cooperation (Axlerod)
  4. propose a descriptive then normative model on boundaries

(add discussion with Paola, Gtalk 4pm 22/11/2010)


Quelles pistes sont a explorer ? Quelles pistes sont a eviter ?

  • use diffusion model to see if rules systems can spread and how
  • compare an abstract rule system to the immune system
    • including membranes as boundaries
    • risk of a metaphor
    • existing model in computer security
  • recent solutions from gamification

could be generalized back to virtual collaborative system but... non electronic ones, i.e. judicial and political ones


from initially

  • Constructing knowledge in community, rule systems as architecture for collaboration


  • Can knowledge communities improve their rule system from our immune system and from simulations?


Knowledge communities can more efficiently fulfill their role by adapting their rule system from our immune system and from simulations.


  1. how does a user get locked-in in the wrong community?
    1. by putting his data and work and not being able to move it to another community
    2. by bonds he created with other participants
    3. by the system of rules changing without his approval
  2. grounding hypothesis
    1. attention and focus can not be shared thus increased
      1. if you give it to one community, most of the time you can't give it to another
      2. bridges exist but are imperfect
    2. spatial boundaries have a role of regulation which is not entirely negative to the community and its desired outcome
    3. ?
  3. Wikipedia:Artificial immune system
  4. for diffusion model check Fisher-KPP

Much more at AIW01#ConstructingKnowledgeInCommunity