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

Stefano Mariani

Knowledge-intensive environments provide new critical challenges in the knowledge management process: the ever-increasing amount of information to handle, its heterogeneity in structure, and the pace at which it is made available are just a few to mention. Here we develop on the idea that only autonomous systems can face such challenges: systems where molecules of knowledge are generated in shared spaces, self-aggregate, and autonomously move toward knowledge consumers. In this paper we propose a novel self-organising knowledge-oriented model based on biochemical tuple spaces, called Molecules of Knowledge (MoK). We introduce MoK basic entities, formally define its computational model, map it on the TuCSoN coordination model, and finally discuss some simple examples of knowledge self-organisation in MoK.


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Meeting with Antonella Carbonaro & Andrea Omicini

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DISI, via Sacchi 3, Cesena, Italy

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