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: "extensive games with possibly unaware players"
  Abstract: Standard game theory assumes that the structure of the game is common knowledge among players. We relax this assumption by considering extensive games where agents may be unaware of the complete structure of the game. In particular, they may not be aware of moves that they and other agents can make. We show how such games can be represented; the key idea is to describe the game from the point of view of every agent at every node of the game tree. We provide a generalization of Nash equilibrium and show that every game with awareness has a generalized Nash equilibrium. Finally, we extend these results to games with awareness of unawareness, where a player i may be aware that a player j can make moves that i is not aware of, and to subjective games, where payers may have no common knowledge regarding the actual game and their beliefs are incompatible with a common prior.

Connected through hyperedge HE-1 (induced by source paper "self confirming games unawareness discovery and equilibrium"):
  with members:
    - "knowledge awareness and bisimulation"
    - "generalized solution concepts in games with possibly unaware players"

Connected through hyperedge HE-2 (induced by source paper "preference at first sight"):
  with members:
    - "reasoning about knowledge of unawareness revisited"

Connected through hyperedge HE-3 (induced by source paper "computing rational decisions in extensive games with limited foresight"):
  with members:
    - "beyond nash equilibrium solution concepts for the 21st century"
    - "a framework for sequential planning in multi agent settings"

Connected through hyperedge HE-4 (induced by source paper "algorithmic rationality game theory with costly computation"):
  with members:
    - "reasoning about beliefs and actions under computational resource constraints"
    - "i don t want to think about it now decision theory with costly computation"
    - "game theory with costly computation"

Connected through hyperedge HE-5 (induced by source paper "preference based unawareness"):
  with members:
    - "reasoning about knowledge of unawareness revisited"
    - "generalized solution concepts in games with possibly unaware players"
    - "reasoning about knowledge of unawareness"
    - "interactive unawareness revisited"

Connected through hyperedge HE-6 (induced by source paper "counter factual reinforcement learning how to model decision makers that anticipate the future"):
  with members:
    - "game theoretic modeling of pilot behavior during mid air encounters"
    - "a framework for sequential planning in multi agent settings"
    - "evolutionary algorithms for reinforcement learning"
    - "reinforcement learning a survey"

Connected through hyperedge HE-7 (induced by source paper "mdps with unawareness"):
  with members:
    - "on the complexity of solving markov decision problems"
    - "hierarchical solution of markov decision processes using macro actions"
    - "active model selection"
    - "the ratio index for budgeted learning with applications"

Connected through hyperedge HE-8 (induced by source paper "reasoning about knowledge of unawareness revisited"):
  with members:
    - "reasoning about knowledge of unawareness"
    - "interactive unawareness revisited"

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)