Individual Rationality in Topological Distance Games Is Surprisingly Hard

Individual Rationality in Topological Distance Games Is Surprisingly Hard

Argyrios Deligkas, Eduard Eiben, Dušan Knop, Šimon Schierreich

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence
Main Track. Pages 2782-2790. https://doi.org/10.24963/ijcai.2024/308

In the recently introduced topological distance games, strategic agents need to be assigned to a subset of vertices of a topology. In the assignment, the utility of an agent depends on both the agent's inherent utilities for other agents and its distance from them on the topology. We study the computational complexity of finding individually-rational outcomes; this notion is widely assumed to be the very minimal stability requirement and requires that the utility of every agent in a solution is non-negative. We perform a comprehensive study of the problem's complexity, and we prove that even in very basic cases, deciding whether an individually-rational solution exists is intractable. To reach at least some tractability, one needs to combine multiple restrictions of the input instance, including the number of agents and the topology and the influence of distant agents on the utility.
Keywords:
Game Theory and Economic Paradigms: GTEP: Computational social choice