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 "uncertainty in multi commodity routing networks when does it help"):
  Abstract: We study the equilibrium behavior in a multi-commodity selfish routing game with many types of uncertain users where each user over- or under-estimates their congestion costs by a multiplicative factor. Surprisingly, we find that uncertainties in different directions have qualitatively distinct impacts on equilibria. Namely, contrary to the usual notion that uncertainty increases inefficiencies, network congestion actually decreases when users over-estimate their costs. On the other hand, under-estimation of costs leads to increased congestion. We apply these results to urban transportation networks, where drivers have different estimates about the cost of congestion. In light of the dynamic pricing policies aimed at tackling congestion, our results indicate that users' perception of these prices can significantly impact the policy's efficacy, and "caution in the face of uncertainty" leads to favorable network conditions.

Includes members:
  Member "how much urban traffic is searching for parking":
    also connected through other hyperedges:
      (none)
  Member "effects of information heterogeneity in bayesian routing games":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "optimal dynamic information provision in traffic routing")
  Member "informational braess paradox the effect of information on traffic congestion":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "signaling in bayesian network congestion games the subtle power of symmetry")
  Member "to observe or not to observe queuing game framework for urban parking":
    also connected through other hyperedges:
      (none)
  Member "power control in networks with heterogeneous users a quasi variational inequality approach":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "energy efficient power control a look at 5g wireless technologies")
  Member "the burden of risk aversion in mean risk selfish routing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (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-5 (induced by source paper "distance based equilibria in normal form 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)