06.02.2023

Five Papers accepted at AAMAS

For the 22nd International Conference on Autonomous Agents and Multiagent Systems taking place in London from 29 May-2 June, three papers of our group were accepted. The first paper is the master thesis of new group member Michelle Döring titled Margin of Victory for Weighted Tournament Solutions. The Margin of Victory measures how close a winner of a tournament is to losing. The paper analysed its computability, structural behaviour and how it may be applied in praxis to ensure fairness and robustness of a tournament decision.

Together with researchers at the Royal Holloway University of London, George Skretas wrote the paper Being an Influencer is Hard: The Complexity of Influence Maximization in Temporal Graphs with a Fixed Source. Nowadays, marketing companies enlist influencers to market products on social media. After finding the appropriate influencer for each product, the company tasks the influencer with advertising it by posting on their social media account. But when is the optimal time to make a post? The authors use the temporal graphs model to find the optimal time for an influencer to make such posts depending on the viral strategy that the marketing company wants to follow.

Last, the paper Equilibria and Convergence in Fire Sale Games was written by Simon Krogmann and Pascal Lenzner in cooperation with researchers at the University of Frankfurt in the context of the ADYN research unit. In fire sales games agents try to minimize losses during fire sales, i.e., when financial assets are rapidly sold in the market causing a spiral of devaluation and further sales. The authors investigate the impact of a specific set of regulations and show that for some parameters easily reachable and socially good Nash equilibria always exist.

Additionally, the papers The Swiss Gambit and Single-Peaked Jump Schelling Games based on the master theses of Pascal Führlich and Lars Seifert were accepted as extended abstracts.

Clean Citation Style 005

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Friedrich, Tobias; Lenzner, Pascal; Molitor, Louise; Seifert, Lars Single-Peaked Jump Schelling Games. Autonomous Agents and Multiagent Systems (AAMAS) 2023: 2899–2901

[ Abstract ] [ BibTeX ] [ URL ] [ Download ]

@inproceedings{friedrich2023singlepeaked,
  abstract = {Schelling games model the wide-spread phenomenon of residential segregation in metropolitan areas from a game-theoretic point of view. In these games agents of different types each strategically select a node on a given graph that models the residential area to maximize their individual utility. The latter solely depends on the types of the agents on neighboring nodes and it has been a standard assumption to consider utility functions that are monotone in the number of same-type neighbors. This simplifying assumption has recently been challenged since sociological poll results suggest that real-world agents actually favor diverse neighborhoods. We contribute to the recent endeavor of investigating residential segregation models with realistic agent behavior by studying Jump Schelling Games with agents having a single-peaked utility function. In such games, there are empty nodes in the graph and agents can strategically jump to such nodes to improve their utility. We investigate the existence of equilibria and show that they exist under specific conditions. Contrasting this, we prove that even on simple topologies like paths or rings such stable states are not guaranteed to exist. Regarding the game dynamics, we show that improving response cycles exist independently of the position of the peak in the utility function. Moreover, we show high almost tight bounds on the Price of Anarchy and the Price of Stability with respect to the recently proposed degree of integration, which counts the number of agents with a diverse neighborhood and which serves as a proxy for measuring the segregation strength. Last but not least, we show that computing a beneficial state with high integration is NP-complete and, as a novel conceptual contribution, we also show that it is NP-hard to decide if an equilibrium state can be found via improving response dynamics starting from a given initial state.},
  author = {Friedrich, Tobias and Lenzner, Pascal and Molitor, Louise and Seifert, Lars},
  booktitle = {Autonomous Agents and Multiagent Systems (AAMAS)},
  keywords = {aamas larsseifert louisemolitor pascallenzner tobiasfriedrich year2023},
  pages = {2899&ndash;2901},
  title = {Single-Peaked Jump Schelling Games},
  year = 2023
}

Doering, Michelle; Peters, Jannik Margin of Victory for Weighted Tournament Solutions. Autonomous Agents and Multi-Agent Systems (AAMAS) 2023: 1716–1724

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Deligkas, Argyrios; Eiben, Eduard; Goldsmith, Tiger-Lily; Skretas, George Being an Influencer is Hard: The Complexity of Influence Maximization in Temporal Graphs with a Fixed Source. Autonomous Agents and Multi-Agent Systems (AAMAS) 2023: 2222–2230

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Cseh, Ágnes; Führlich, Pascal; Lenzner, Pascal The Swiss Gambit. Autonomous Agents and Multi-Agent Systems (AAMAS) 2023

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Bertschinger, Nils; Hoefer, Martin; Krogmann, Simon; Lenzner, Pascal; Schuldenzucker, Steffen; Wilhelmi, Lisa Equilibria and Convergence in Fire Sale Games. Autonomous Agents and Multiagent Systems (AAMAS) 2023: 215–223

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