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 "playing the wrong game smoothness bounds for congestion games with behavioral biases"):
  Abstract: In many situations a player may act so as to maximize a perceived utility that is not exactly her utility function, but rather some other, biased, utility. Examples of such biased utility functions are common in behavioral economics, and include risk attitudes, altruism, present-bias and so on. When analyzing a game, one may ask how inefficiency, measured by the Price of Anarchy (PoA) is affected by the perceived utilities. The smoothness method [Roughgarden and Tardos'04, Roughgarden'09] naturally extends to games with such perceived utilities or costs, regardless of the game or the behavioral bias. We show that such biased-smoothness is broadly applicable in the context of nonatomic congestion games. First, we show that on series-parallel networks we can use smoothness to yield PoA bounds even for diverse populations with different biases. Second, we identify various classes of cost functions and biases that are smooth, thereby substantially improving some recent results from the literature. Finally we show some initial implications for atomic congestion games. %

Includes members:
  Member "the price of anarchy in large games":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "convergence of large atomic congestion games")
  Member "asymptotically tight bounds for inefficiency in risk averse selfish routing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "can taxes improve congestion on all networks")
  Member "the burden of risk aversion in mean risk selfish routing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the price of satisficing in network user equilibria")
  Member "congestion games with distance based strict uncertainty":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "distance based equilibria in normal form games")
  Member "improving the price of anarchy for selfish routing via coordination mechanisms":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "when does diversity of user preferences improve outcomes in selfish routing")
  Member "the robust price of anarchy of altruistic games":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "prior independent equilibria and linear multi dimensional bayesian games")

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)