Abstract
Mechanism Design, a domain characterized by economically motivated agents, is an important tool in computer science and economics. Despite being extremely pervasive and applied across diverse settings, there is a renewed interest in incorporating human factors within the design and implementation of classic mechanisms. In this thesis, we cater to the aforementioned interest wherein we align the development and analysis of mechanisms with human consideration. We focus on two problems, Information Design in Affiliate Marketing and Explainability in Mechanism Design, both of which are inspired by human interactions with algorithmic systems. The research is based on a thorough literature review, theoretical analysis, and experimental validation of the solutions proposed. The methods proposed are also proven to be economically beneficial, in terms of increased profits and reduced costs, thus abiding by another key aspect of mechanism design.
Original language | English |
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Title of host publication | Multi-Agent Systems - 19th European Conference, EUMAS 2022, Proceedings |
Editors | Dorothea Baumeister, Jörg Rothe |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 444-447 |
Number of pages | 4 |
ISBN (Print) | 9783031206139 |
DOIs | |
State | Published - 2022 |
Event | 19th European Conference on Multi-Agent Systems, EUMAS 2022 - Düsseldorf, Germany Duration: 14 Sep 2022 → 16 Sep 2022 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13442 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 19th European Conference on Multi-Agent Systems, EUMAS 2022 |
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Country/Territory | Germany |
City | Düsseldorf |
Period | 14/09/22 → 16/09/22 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Explainability
- Human factors
- Information design
- Mechanism design