10.05.2021

Paper accepted at IJCAI

Simon Krogmann, who is now a PhD student with the group, wrote his Master's thesis on Facility Location Games on Networks under the supervision of Pascal Lenzner and Louise Molitor. We are very happy to announce that the results of his work have been accepted for publication at the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021). It is a prime venue for research in AI and leading the way both for novel techniques as well as new application domains. This year, IJCAI is planned as a "Montreal-themed Virtual Reality" conference August 21-26.

Clean Citation Style 005

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Krogmann, Simon; Lenzner, Pascal; Molitor, Louise; Skopalik, Alexander Two-Stage Facility Location Games with Strategic Clients and FacilitiesInternational Joint Conference on Artificial Intelligence (IJCAI) 2021: 292–298

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

@inproceedings{krogmann2021twostage,
  abstract = {We consider non-cooperative facility location games where both facilities and clients act strategically and heavily influence each other. This contrasts established game-theoretic facility location models with non-strategic clients that simply select the closest opened facility. In our model, every facility location has a set of attracted clients and each client has a set of shopping locations and a weight that corresponds to her spending capacity. Facility agents selfishly select a location for opening their facility to maximize the attracted total spending capacity, whereas clients strategically decide how to distribute their spending capacity among the opened facilities in their shopping range. We focus on a natural client behavior similar to classical load balancing: our selfish clients aim for a distribution that minimizes their maximum waiting times for getting serviced, where a facility’s waiting time corresponds to its total attracted client weight. We show that subgame perfect equilibria exist and give almost tight constant bounds on the Price of Anarchy and the Price of Stability, which even hold for a broader class of games with arbitrary client behavior. Since facilities and clients influence each other, it is crucial for the facilities to anticipate the selfish clients’ behavior when selecting their location. For this, we provide an efficient algorithm that also implies an efficient check for equilibrium. Finally, we show that computing a socially optimal facility placement is NP-hard and that this result holds for all feasible client weight distributions.},
  author = {Krogmann, Simon and Lenzner, Pascal and Molitor, Louise and Skopalik, Alexander},
  booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
  keywords = {ijcai louisemolitor simonkrogmann pascallenzner year2021},
  pages = {292-298},
  title = {Two-Stage Facility Location Games with Strategic Clients and Facilities},
  year = 2021
}