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Behavioral Economics
Summary
Previous studies in communication networking often focused on fully rational decision-makers, who
aim to maximize their expected payoffs. Despite the theoretical
elegance, it may not be able to predict real-world phenomena
accurately, particularly when human decision-makers are involved. This
motivates us to study the effect of bounded
rational users in a number of exciting mobile networking
scenarios.
The
related projects are as follows:
- Risk
preferences in spectrum investment and mobile data trading decisions: An agent often needs to face
uncertainty when making his decision. Traditionally, the expected
utility theory (EUT) is widely adopted in the resource allocation
literature, which assumed that the agent aims to maximize his expected
utility. However, this formulation did not take into account the human’
risk preference, which is often risk-averse when gaining utility, but
risk-seeking when losing utility. Thus, to model the risk attitude, we
adopted the prospect theory, which is a Nobel-prize-winning behavioral
economics theory developed by Daniel Kahneman and Amos Tversky. We have
considered spectrum investment in cognitive radio networks in [1] and
mobile data trading in [2]. Furthermore, we summarized the recent
progress in the application of prospect theory in communication
networks in [3].
- Cognitive limitations in crowdsourcing:
Existing crowdsourcing mechanisms usually considered fully rational
workers with the same and infinite cognitive reasoning level. As a
result, the workers’ interactions are often formulated as a
non-cooperative game with the Nash equilibrium as the solution concept.
However, recent experimental studies in psychology have shown that
people often have heterogeneous and finite cognitive levels. Thus, in
[4], we applied the cognitive hierarchy theory from behavioral
economics to study the impact of bounded rationality on crowdsourcing
design.
Selected Publications
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Junlin Yu, Man Hon
Cheung, and Jianwei Huang, “Spectrum Investment under
Uncertainty: A Behavioral Economics Perspective,” IEEE Journal on
Selected Areas in Communications (Special Issue on Spectrum Sharing and
Aggregation for Future Wireless Networks), vol. 34, no. 10, pp.
2667–2677, Oct. 2016.
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Junlin Yu, Man Hon
Cheung, Jianwei Huang, and H. Vincent Poor, “Mobile Data
Trading: Behavioral Economics Analysis and Algorithm Design,” IEEE
Journal on Selected Areas in Communications (Special Issue on
Human-In-The-Loop Mobile Networks), vol. 35, no. 4, pp. 994-1005, Apr.
2017.
- Man Hon Cheung and
Junlin Yu, "Prospect Theory for Communication Networks," in
Encyclopedia of Wireless Networks, Springer, 2018.
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Qi Shao, Man Hon Cheung,
and Jianwei Huang, “Crowdsourcing with Bounded Rationality: A Cognitive
Hierarchy Perspective,” in Proc. of IEEE Globecom, Abu Dhabi, UAE, Dec.
2018.
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