Title
Information-Driven Collective Intelligences
Abstract
Information-driven collective intelligences derive from the connection and the interaction of multiple, distributed, independent agents that produce and process information, and eventually turn it into knowledge, meant in the broad sense of capability of conceptual representation. For instance, the World-wide Web can be viewed as an information-driven collective intelligence emerging from the digital network known as the Internet. The point here is how to extend such a capability for knowledge generation from the participating agents to the collective intelligence itself. In this paper we show how this can be obtained with graph-based algorithms for the detection of communities of agents so as to support a dynamic, self-organized form of concept-discovery and concept-incarnation. In particular, we show how to strengthen community ties around concepts in order to increase their level of socialization and, consequently, of “fertility” in the generation of new concepts. Since there exists a direct relationship between concept discovery and innovation in human intelligences, we point out how analogous innovation capabilities can now be supported within information-driven collective intelligences, with direct applications to product innovation.
Year
DOI
Venue
2010
10.1007/978-3-642-16732-4_38
international conference on computational collective intelligence
Keywords
Field
DocType
collective intelligences,information-driven collective intelligence,social networks,analogous innovation capability,web communities,direct relationship,knowledge generation.,human intelligence,evolu- tion,collective intelligence,world-wide web,product innovation,information-driven collective intelligences derive,direct application,innovation,knowledge generation,evolution,world wide web,social network,self organization
Digital network,Knowledge generation,Social network,Existential quantification,Collective intelligence,Computer science,Knowledge management,Product innovation,Socialization,The Internet
Conference
Volume
ISSN
ISBN
6422
0302-9743
3-642-16731-4
Citations 
PageRank 
References 
0
0.34
7
Authors
3
Name
Order
Citations
PageRank
Francesca Arcelli Fontana150547.66
Ferrante Formato29810.99
Remo Pareschi3601162.52