Human Consideration in Analysis and Algorithms for Mechanism Design

Sharadhi Alape Suryanarayana

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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 languageEnglish
Title of host publicationMulti-Agent Systems - 19th European Conference, EUMAS 2022, Proceedings
EditorsDorothea Baumeister, Jörg Rothe
PublisherSpringer Science and Business Media Deutschland GmbH
Pages444-447
Number of pages4
ISBN (Print)9783031206139
DOIs
StatePublished - 2022
Event19th European Conference on Multi-Agent Systems, EUMAS 2022 - Düsseldorf, Germany
Duration: 14 Sep 202216 Sep 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13442 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th European Conference on Multi-Agent Systems, EUMAS 2022
Country/TerritoryGermany
CityDüsseldorf
Period14/09/2216/09/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Explainability
  • Human factors
  • Information design
  • Mechanism design

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