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: "i don t want to think about it now decision theory with costly computation"
  Abstract: Computation plays a major role in decision making. Even if an agent is willing to ascribe a probability to all states and a utility to all outcomes, and maximize expected utility, doing so might present serious computational problems. Moreover, computing the outcome of a given act might be difficult. In a companion paper we develop a framework for game theory with costly computation, where the objects of choice are Turing machines. Here we apply that framework to decision theory. We show how well-known phenomena like first-impression-matters biases (i.e., people tend to put more weight on evidence they hear early on), belief polarization (two people with different prior beliefs, hearing the same evidence, can end up with diametrically opposed conclusions), and the status quo bias (people are much more likely to stick with what they already have) can be easily captured in that framework. Finally, we use the framework to define some new notions: value of computational information (a computational variant of value of information) and and computational value of conversation.

Connected through hyperedge HE-1 (induced by source paper "sok tools for game theoretic models of security for cryptocurrencies"):
  with members:
    - "oceanic games centralization risks and incentives in blockchain mining"
    - "a survey on consensus mechanisms and mining strategy management in blockchain networks"
    - "selfish mining in ethereum"
    - "impossibility of full decentralization in permissionless blockchains"
    - "squirrl automating attack discovery on blockchain incentive mechanisms with deep reinforcement learning"
    - "an axiomatic approach to block rewards"
    - "reward sharing schemes for stake pools"
    - "compounding of wealth in proof of stake cryptocurrencies"

Connected through hyperedge HE-2 (induced by source paper "research priorities for robust and beneficial artificial intelligence"):
  with members:
    - "toward idealized decision theory"
    - "friendly artificial intelligence the physics challenge"
    - "practical verification of decision making in agent based autonomous systems"
    - "decision theory with resource bounded agents"
    - "game theory with translucent players"
    - "reasoning about beliefs and actions under computational resource constraints"
    - "quasi newton methods a new direction"
    - "provably bounded optimal agents"

Connected through hyperedge HE-3 (induced by source paper "algorithmic rationality game theory with costly computation"):
  with members:
    - "reasoning about beliefs and actions under computational resource constraints"
    - "game theory with costly computation"
    - "extensive games with possibly unaware players"

Connected through hyperedge HE-4 (induced by source paper "sequential equilibrium in computational games"):
  with members:
    - "algorithmic rationality game theory with costly computation"
    - "reasoning about beliefs and actions under computational resource constraints"

Connected through hyperedge HE-5 (induced by source paper "decision theory with resource bounded agents"):
  with members:
    - "algorithmic rationality game theory with costly computation"
    - "reasoning about beliefs and actions under computational resource constraints"
    - "game theory with costly computation"
    - "provably bounded optimal agents"

Connected through hyperedge HE-6 (induced by source paper "beyond nash equilibrium solution concepts for the 21st century"):
  with members:
    - "iterated regret minimization a more realistic solution concept"
    - "game theory with costly computation"
    - "optimizing scrip systems efficiency crashes hoarders and altruists"
    - "lower bounds on implementing robust and resilient mediators"
    - "extensive games with possibly unaware players"
    - "rational secret sharing and multiparty computation extended abstract"
    - "interactive unawareness revisited"
    - "a computer scientist looks at game theory"

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)