Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
University of Washington · Western Washington University · +1 more institution
Abstract
The opinions of members of a population are influenced by opinions of their peers, their own predispositions, and information from external sources via one or more information channels (e.g., news, social media).Due to individual cognitive biases, the perceptual impact of and importance assigned by agents to information on each channel can be different.In this paper, we propose a model of opinion evolution that uses prospect theory to represent perception of information from the external source along each channel.Our prospect-theoretic opinion model reflects traits observed in humans such as loss aversion, assigning inflated (deflated) values to low (high) probability events, and evaluating outcomes relative…
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Authors
119Topics & keywords
- Joint (building)
- Computer science
- Artificial intelligence
- Engineering
- Architectural engineering