Molecules of Knowledge: Self-organisation in Knowledge-Intensive Environments

Part of the Studies in Computational Intelligence book series (SCI, volume 446)

Abstract

We propose a novel self-organising knowledge-oriented model based on biochemical tuple spaces, called Molecules of Knowledge (MoK). We introduce MoK basic entities, define its computational model, and discuss its mapping on the \(\textsf{TuCSoN}\) coordination model for its implementation.

Keywords

Biochemical Reaction Knowledge Source Coordination Model Tuple Space Related Atom 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Gillespie, D.T.: Exact stochastic simulation of coupled chemical reactions. The Journal of Physical Chemistry 81(25), 2340–2361 (1977), doi:10.1021/j100540a008CrossRefGoogle Scholar
  2. 2.
    Omicini, A., Denti, E.: From tuple spaces to tuple centres. Science of Computer Programming 41(3), 277–294 (2001), doi:10.1016/S0167-6423(01)00011-9MATHCrossRefGoogle Scholar
  3. 3.
    Omicini, A., Viroli, M.: Coordination models and languages: From parallel computing to self-organisation. The Knowledge Engineering Review 26(1), 53–59 (2011), doi:10.1017/S026988891000041XCrossRefGoogle Scholar
  4. 4.
    Omicini, A., Zambonelli, F.: Coordination for Internet application development. Autonomous Agents and Multi-Agent Systems 2(3), 251–269 (1999), doi:10.1023/A:1010060322135CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.DISI, Alma Mater StudiorumUniversità di BolognaRiminiItaly

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