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 "new mechanism for repeated posted price auction with a strategic buyer without discounting"):
  Abstract: The repeated posted price auction is a game with two players: the seller and the buyer. This game consists of rounds, indexed by natural numbers $i=1,2,\dots$, and in each round the seller proposes to the buyer a unit of good (think of fish or a place for advertisement) with the price $Q_i$. Let the buyer's valuation of this good be $q\in \mathbb R_{>0}$, we call $q$ the {\it type} of the buyer. In each round the buyer has two options: accept the deal (and then we set $a_i=1$) or reject it (we set $a_i=0$). In this round, the buyer's {\it surplus} is $a_i(q-Q_i)$ and the seller's {\it revenue} is $a_iQ_i$. #R##N#I propose a strategy $S$ for the seller and argue why the resulting revenue is the best that the seller can achieve among a reasonable class of strategies.

Includes members:
  Member "on consistency of optimal pricing algorithms in repeated posted price auctions with strategic buyer":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "reserve pricing in repeated second price auctions with strategic bidders")
  Member "perfect bayesian equilibria in repeated sales":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "dynamic reserve prices for repeated auctions learning from bids")
  Member "learning prices for repeated auctions with strategic buyers":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "dynamic reserve prices for repeated auctions learning from bids")
  Member "on the power of randomization in algorithmic mechanism design":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the complexity of black box mechanism design with priors")

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)