human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "knightian robustness of the vickrey mechanism"):
  Abstract: We investigate the resilience of some classical mechanisms to alternative specifications of preferences and information structures. Specifically, we analyze the Vickrey mechanism for auctions of multiple identical goods when the only information a player $i$ has about the profile of true valuations, $\theta^*$, consists of a set of distributions, from one of which $\theta_i^*$ has been drawn. #R##N#In this setting, the players no longer have complete preferences, and the Vickrey mechanism is no longer dominant-strategy. However, we prove that its efficiency performance is excellent, and essentially optimal, in undominated strategies.

Includes members:
  Member "knightian analysis of the vcg mechanism in unrestricted combinatorial auctions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "knightian analysis of the vickrey mechanism")
  Member "knightian robustness of single parameter domains":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "knightian analysis of the vickrey mechanism")
  Member "knightian robustness from regret minimization":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "knightian analysis of the vickrey mechanism")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.GT(Computer Science and Game Theory)