Multiagent Systems for Social Computation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

This paper proposes social computation, i.e. large-scale man-machine collaboration mediated by digital interaction media, as a vision for future intelligent systems, and as a new challenge for multiagent systems research. We claim that the study of social computation suggests a re-interpretation of many traditional AI endeavours, has huge potential application benefits, and presents the field of multiagent systems with novel, exciting research questions. We introduce an abstract model of social computation that helps capture some of its core research problems more precisely. We explore the potential contribution of multiagent systems technologies to the solution of these problems by exposing the close relationship between social computation and existing methods in multiagent systems. We describe how these methods could be reused in this novel application context, what methodological implications this has, and argue that the resulting
cross-fertilisation will be highly beneficial for both sides.
Original languageEnglish
Title of host publicationProceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems
Place of PublicationParis, France
Number of pages4
ISBN (Print)978-1-4503-2738-1
Publication statusPublished - 5 May 2014
Event2014 international conference on Autonomous agents and multi-agent systems - Paris, France
Duration: 5 May 20149 May 2014


Conference2014 international conference on Autonomous agents and multi-agent systems
Abbreviated titleAAMAS'14

Keywords / Materials (for Non-textual outputs)

  • collective intelligence, crowdsourcing, human-based computation, social computation


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