Heterogeneous Facility Location with Limited Resources


  • Argyrios Deligkas Department of Computer Science, Royal Holloway University of London
  • Aris Filos-Ratsikas Department of Computer Science, University of Liverpool
  • Alexandros A. Voudouris School of Computer Science and Electronic Engineering, University of Essex




Game Theory And Economic Paradigms (GTEP)


We initiate the study of the heterogeneous facility location problem with limited resources. We mainly focus on the fundamental case where a set of agents are positioned in the line segment [0,1] and have approval preferences over two available facilities. A mechanism takes as input the positions and the preferences of the agents, and chooses to locate a single facility based on this information. We study mechanisms that aim to maximize the social welfare (the total utility the agents derive from facilities they approve), under the constraint of incentivizing the agents to truthfully report their positions and preferences. We consider three different settings depending on the level of agent-related information that is public or private. For each setting, we design deterministic and randomized strategyproof mechanisms that achieve a good approximation of the optimal social welfare, and complement these with nearly-tight impossibility results.




How to Cite

Deligkas, A., Filos-Ratsikas, A., & Voudouris, A. A. (2022). Heterogeneous Facility Location with Limited Resources. Proceedings of the AAAI Conference on Artificial Intelligence, 36(5), 4966-4974. https://doi.org/10.1609/aaai.v36i5.20427



AAAI Technical Track on Game Theory and Economic Paradigms