Projects per year
Abstract
Institutions and investors face the constant challenge of makingaccurate decisions and predictions regarding how best they shoulddistribute their endowments. The problem of achieving an opti-mal outcome at minimal cost has been extensively studied andresolved using several heuristics. However, these works fail to ad-dress how an external decision maker can target different types offair behaviour and how limited information can shape this complexinterplay. Here, we consider the well-known Ultimatum game in aspatial setting and propose a hierarchy of interference mechanismsbased on the amount of information available to the external de-cision maker and desired standards of fairness. Our key findingsshow that asymmetric interactions have drastically different dy-namics when compared to symmetric games, such as the Prisoner’sDilemma, and discuss why gathering information about the agents’behaviour allows for the most efficient investment strategies
Original language | English |
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Title of host publication | aamas |
Publication status | Accepted/In press - 20 Jan 2021 |
Event | 20th International Conference on Autonomous Agents and Multiagent Systems - Online event Duration: 3 May 2021 → 7 May 2021 https://aamas2021.soton.ac.uk/ |
Conference
Conference | 20th International Conference on Autonomous Agents and Multiagent Systems |
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Abbreviated title | AAMAS 2021 |
Period | 3/05/21 → 7/05/21 |
Internet address |
Fingerprint
Dive into the research topics of 'Promoting Fair Proposers, Fair Responders or Both? Cost-Efficient Interference in the Spatial Ultimatum Game'. Together they form a unique fingerprint.Projects
- 2 Finished
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Leverhulme Research Fellowship: "Incentives for Commitment Compliance"
Han, T. A. (PI)
12/12/20 → 5/12/22
Project: Research
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Future of Life Institute Safety Grant "Incentives for Safety Agreement Compliance in AI Race"
Han, T. A. (PI)
30/11/18 → 31/07/21
Project: Research