Argumentation-Based Information Exchange in Prediction Markets

We investigate how argumentation processes among a group of agents may affect the outcome of group judgments. In particular we focus on prediction markets (also called information markets). We investigate how the existence of social networks (that allow agents to argue with one another to improve their individual predictions) effect on group judgments.

Social networks allow agents to exchange information about the group judgment by arguing about the most likely choice based on their individual experience. We develop an argumentation-based deliberation process by which the agents acquire new and relevant information. Finally, we experimentally assess how different social network connectivity affect group judgment.

Read the paper:

Argumentation-based Information Exchange in Prediction Markets

by Santi Ontañón and Enric Plaza

in ArgMAS 2008, pp. 181 – 196
www.cc.gatech.edu/faculty/ashwin/papers/er-08-12.pdf
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