DocumentCode :
270916
Title :
A Design Science Approach to Collective Intelligence Systems
Author :
Kornrumpf, Alexander ; Baumöl, Ulrike
Author_Institution :
FernUniv. in Hagen, Hagen, Germany
fYear :
2014
fDate :
6-9 Jan. 2014
Firstpage :
361
Lastpage :
370
Abstract :
The inverse problem of collective intelligence is the problem of designing a collective intelligence system that is fit to overcome a given challenge. In this paper we propose a design science approach to this problem. We carry out the first steps of the design science research process showing the relevance of the problem and the objectives of a tool supporting the solution. While this can be seen as progress towards an agenda and methodology for long-termed research, as an immediate result we also present a conceptual model of the collective intelligence domain which provides new insight into the ontology of collective intelligence. The conceptual model may inform the design of collective intelligence systems independent of the supporting tool. It also illustrates the difference between collective intelligence systems and traditional information systems.
Keywords :
Internet; information systems; ontologies (artificial intelligence); swarm intelligence; collective intelligence ontology; collective intelligence systems; design science research process; information systems; inverse problem; long-termed research; Adaptation models; Business; Inverse problems; Ontologies; Silicon; Unified modeling language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2014 47th Hawaii International Conference on
Conference_Location :
Waikoloa, HI
Type :
conf
DOI :
10.1109/HICSS.2014.53
Filename :
6758649
Link To Document :
بازگشت