Proceedings of the Conference of Transdisciplinary Federation of Science and Technology
The 8th Conference of Transdisciplinary Federation of Science and Technology
Session ID : B-1
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Information cascade and collective experiments
*S. MoriM. HisakadoT. Takahashi
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CONFERENCE PROCEEDINGS OPEN ACCESS

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Abstract

Collective intelligence is a mechanism to aggregate information held by many agents and generate useful information. In order for the generated information to be useful, it is a sufficient condition that the agents should independently generate information to be aggregated. On the other hand, in the case of humans, as they give priority to the return of each individual, not to the accuracy of the collective intelligence, they often use social learning and imitate the choices and actions of others. Independence of information to be aggregated is not preserved and the collective intelligence mechanism does not function. We conducted an information cascade experiment using two-choice general knowledge quizzes. When quizzes are easy, collective intelligence functions and the correct answer rate improves. However, when the quizzes are difficult, it becomes random whether the correct answer rate improves or deteriorates This change is a phase transition due to a change in the number of stable states of nonlinear Polya urn process. The essence of the phase transition is whether the in uence of the rst subject's choice (Domino effect) percolates or not in the in nitely long subjects' sequence.

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© 2017 Transdisciplinary Federation of Science and Technology
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