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: "lazy beats crazy a spurious yet mathematical justification for laissez faire"
  Abstract: In perfect-information games in extensive form, common knowledge of rationality triggers backward induction, which yields a Nash equilibrium. That result assumes much about the players' knowledge, while it holds only for a subclass of the games in extensive form. Alternatively, this article defines a non-deterministic evolutionary process, by myopic and lazy improvements, that settles exactly at Nash equilibrium (in extensive form). Importantly, the strategical changes that the process allows depend only on the structure of the game tree, they are independent from the actual preferences. Nonetheless, the process terminates if the players have acyclic preferences; and even if some preferences are cyclic, the players with acyclic preferences stop improving eventually. This result is then generalised in games played on DAGs or infinite trees, and it is also refined by assigning probabilities to the process and perturbing it.

Connected through hyperedge HE-1 (induced by source paper "infinite sequential games with real valued payoffs"):
  with members:
    - "weihrauch degrees of finding equilibria in sequential games"
    - "towards synthetic descriptive set theory an instantiation with represented spaces"
    - "a semi potential for finite and infinite sequential games"
    - "energy parity games"
    - "better quality in synthesis through quantitative objectives"

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)