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AAMAS 2017

Parameterized Complexity of Group Activity Selection

Conference Paper Session 2B: Assignment and Matching Problems Autonomous Agents and Multiagent Systems

Abstract

We consider the Group Activity Selection Problem (GASP) in which a group of agents need to be assigned to activities, subject to agent preferences and stability conditions. In GASP, the agents announce dichotomic preferences on which (activity, number-of-participant) pairs are acceptable to them. We consider five solution concepts of assignments: (1) individual rationality (everyone who is assigned to an activity is willing to participate), (2) (Nash) stability (no agent wants to deviate from the assignment), (3) envy-freeness (no agent is envious of someone else’s assignment), (4) stability and envyfreeness, and (5) perfection (everyone is assigned and willing to participate). It is known that finding an assignment of a given size with any of these properties is NP-complete. We study the complexity of GASPon a finer scale, through the lens of parameterized complexity. We show that the solution concepts above differ substantially, when parameterized by the size of the solution (the number of assigned agents or the number of used activities). In particular, finding an individually rational assignment is fixed parameter tractable, yet other solutions concepts are less tractable (W[1]- and W[2]-hard) even under very natural restrictions on inputs.

Authors

Keywords

  • Parameterized Complexity
  • Fixed parameter tractability
  • W-hierarchy
  • Individual rationality
  • Stability
  • Envy-free

Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2026
Indexed papers
8043
Paper id
399204012364031210
v2026.09.13