human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "playing the wrong game smoothness bounds for congestion games with heterogeneous biases"
  Abstract: In many situations a player may act so as to maximize a perceived utility that does not coincide with the objective of the system analyst or designer. Such discrepancies may arise due to rational factors (such as tolls or restricted budgets), or due to cognitive biases such as those that are common in behavioral economics: risk attitudes, altruism, present-bias and so on. When analyzing a game, one may ask how inefficiency, as measured by the Price of Anarchy (PoA), is affected by the perceived utilities. This question is especially challenging in the presence of heterogeneous biases, where each player essentially plays a different game. The smoothness method [Roughgarden '04,'09] naturally extends to games with homogeneous 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: In games with arbitrary heterogeneous biases, we bound the agents' equilibrium costs purely based on their own biased-smoothness parameters, as well as on structural parameters of the underlying network. For symmetric heterogeneous games, we provide a {\em biased PoA} bound that depends on the average biased-smoothness of all participating types. We complement our positive results with examples showing tightness or almost-tightness of the upper bounds. We also identify various classes of cost functions and biases that are biased-smooth, thereby substantially improving some recent results from the literature.

Connected through hyperedge HE-1 (induced by source paper "directed graph embeddings"):
  with members:
    - "informational braess paradox the effect of information on traffic congestion"
    - "asymptotically tight bounds for inefficiency in risk averse selfish routing"
    - "computational issues in time inconsistent planning"
    - "time inconsistent planning a computational problem in behavioral economics"
    - "a complete anytime algorithm for treewidth"

Question: Please tell me which class the center node 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)