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 "a compositional approach to economic game theory"):
  Abstract: This paper aims to significantly impact the way we conceive of, reason about, and construct software for economic game theory. We achieve this by building an new and original model of economic games based upon the computer science idea of compositionality: concretely we i) give a number of operators for building up complex and irregular games from smaller and simpler games; and ii) show how the equilibria of these complex games can be defined recursively from the equilibria of their simpler components. We apply compositional reasoning to sophisticated games where agents must reason about how their actions affect future games and how those future games effect the utility they receive. This requires further originality --- we augment the usual lexicon of games with a new concept of coutility. This dual notion to utility arises because, in order for games to accept utility, this utility must be generated by other games. A third source of originality is the representation of our games as string diagrams so as to give a clear visual interface to manipulate them. Our fourth, and final, source of originality is a categorical formalisation of these intuitive string diagrams which guarantees our model is mathematically rigourous.

Includes members:
  Member "morphisms of open games":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "compositional deep learning")
  Member "a compositional coalgebraic semantics of strategic games":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "compositional game theory")
  Member "monad transformers for backtracking search":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "backward induction for repeated 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)