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Documents authored by Radanovic, Goran

Document
Invited Talk
DOI: 10.4230/LIPIcs.CONCUR.2022.4
Sequential Decision Making With Information Asymmetry (Invited Talk)

Authors: Jiarui Gan, Rupak Majumdar, Goran Radanovic, and Adish Singla

Published in: LIPIcs, Volume 243, 33rd International Conference on Concurrency Theory (CONCUR 2022)

Abstract
We survey some recent results in sequential decision making under uncertainty, where there is an information asymmetry among the decision-makers. We consider two versions of the problem: persuasion and mechanism design. In persuasion, a more-informed principal influences the actions of a less-informed agent by signaling information. In mechanism design, a less-informed principal incentivizes a more-informed agent to reveal information by committing to a mechanism, so that the principal can make more informed decisions. We define Markov persuasion processes and Markov mechanism processes that model persuasion and mechanism design into dynamic models. Then we survey results on optimal persuasion and optimal mechanism design on myopic and far-sighted agents. These problems are solvable in polynomial time for myopic agents but hard for far-sighted agents.
Cite as

Jiarui Gan, Rupak Majumdar, Goran Radanovic, and Adish Singla. Sequential Decision Making With Information Asymmetry (Invited Talk). In 33rd International Conference on Concurrency Theory (CONCUR 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 243, pp. 4:1-4:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{gan_et_al:LIPIcs.CONCUR.2022.4,
  author =	{Gan, Jiarui and Majumdar, Rupak and Radanovic, Goran and Singla, Adish},
  title =	{{Sequential Decision Making With Information Asymmetry}},
  booktitle =	{33rd International Conference on Concurrency Theory (CONCUR 2022)},
  pages =	{4:1--4:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-246-4},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{243},
  editor =	{Klin, Bartek and Lasota, S{\l}awomir and Muscholl, Anca},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CONCUR.2022.4},
  URN =		{urn:nbn:de:0030-drops-170673},
  doi =		{10.4230/LIPIcs.CONCUR.2022.4},
  annote =	{Keywords: Bayesian persuasion, Automated mechanism design, Markov persuasion processes, Markov mechanism processes, Myopic agents}
}
Document
DOI: 10.4230/DagMan.9.1.43
Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482)

Authors: Abraham Bernstein, Claes de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Moeller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, and Theresa Zueger

Published in: Dagstuhl Manifestos, Volume 9, Issue 1 (2021)

Abstract
News diversity in the media has for a long time been a foundational and uncontested basis for ensuring that the communicative needs of individuals and society at large are met. Today, people increasingly rely on online content and recommender systems to consume information challenging the traditional concept of news diversity. In addition, the very concept of diversity, which differs between disciplines, will need to be re-evaluated requiring an interdisciplinary investigation, which requires a new level of mutual cooperation between computer scientists, social scientists, and legal scholars. Based on the outcome of a interdisciplinary workshop, we have the following recommendations, directed at researchers, funders, legislators, regulators, and the media industry: - Conduct interdisciplinary research on news recommenders and diversity. - Create a safe harbor for academic research with industry data. - Strengthen the role of public values in news recommenders. - Create a meaningful governance framework for news recommenders. - Fund a joint lab to spearhead the needed interdisciplinary research, boost practical innovation, develop reference solutions, and transfer insights into practice.
Cite as

Abraham Bernstein, Claes de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Moeller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, and Theresa Zueger. Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482). In Dagstuhl Manifestos, Volume 9, Issue 1, pp. 43-61, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@Article{bernstein_et_al:DagMan.9.1.43,
  author =	{Bernstein, Abraham and de Vreese, Claes and Helberger, Natali and Schulz, Wolfgang and Zweig, Katharina and Baden, Christian and Beam, Michael A. and Hauer, Marc P. and Heitz, Lucien and J\"{u}rgens, Pascal and Katzenbach, Christian and Kille, Benjamin and Klimkiewicz, Beate and Loosen, Wiebke and Moeller, Judith and Radanovic, Goran and Shani, Guy and Tintarev, Nava and Tolmeijer, Suzanne and van Atteveldt, Wouter and Vrijenhoek, Sanne and Zueger, Theresa},
  title =	{{Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482)}},
  pages =	{43--61},
  journal =	{Dagstuhl Manifestos},
  ISSN =	{2193-2433},
  year =	{2021},
  volume =	{9},
  number =	{1},
  editor =	{Bernstein, Abraham and de Vreese, Claes and Helberger, Natali and Schulz, Wolfgang and Zweig, Katharina and Baden, Christian and Beam, Michael A. and Hauer, Marc P. and Heitz, Lucien and J\"{u}rgens, Pascal and Katzenbach, Christian and Kille, Benjamin and Klimkiewicz, Beate and Loosen, Wiebke and Moeller, Judith and Radanovic, Goran and Shani, Guy and Tintarev, Nava and Tolmeijer, Suzanne and van Atteveldt, Wouter and Vrijenhoek, Sanne and Zueger, Theresa},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagMan.9.1.43},
  URN =		{urn:nbn:de:0030-drops-137456},
  doi =		{10.4230/DagMan.9.1.43},
  annote =	{Keywords: News, recommender systems, diversity}
}
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