Interleaving Human-Machine Knowledge and Computation

author: Abraham Bernstein, Department of Informatics, University of Zurich
published: Dec. 3, 2012,   recorded: November 2012,   views: 2700

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Before the Internet most collaborators had to be sufficiently close by to work together towards a certain goal. Now, the cost of collaborating with anybody anywhere on the world has been reduced to almost zero. As a result large-scale collaboration between humans and computers has become technically feasible. In these collaborative setups humans can carry the part of the weight of processing. Hence, people and computers become a kind of \global brain" of distributed interleaved human-machine computation (often called collective intelligence, social computing, or various other terms). Human computers as part of computational processes, however, come with their own strengths and issues. In this paper we take the underlying ideas of Bernstein et al. regarding three traits on human computation|motivational diversity, cognitive diversity, and error diversity|and discuss them in the light of a Global Brain Semantic Web.

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