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: "toward idealized decision theory"
  Abstract: This paper motivates the study of decision theory as necessary for aligning smarter-than-human artificial systems with human interests. We discuss the shortcomings of two standard formulations of decision theory, and demonstrate that they cannot be used to describe an idealized decision procedure suitable for approximation by artificial systems. We then explore the notions of policy selection and logical counterfactuals, two recent insights into decision theory that point the way toward promising paths for future research.

Connected through hyperedge HE-1 (induced by source paper "plausibility and probability in deductive reasoning"):
  with members:
    - "a nearly tight sum of squares lower bound for the planted clique problem"
    - "optimal polynomial time estimators a bayesian notion of approximation algorithm"
    - "algorithmic rationality game theory with costly computation"
    - "bounding rationality by discounting time"
    - "dealing with logical omniscience expressiveness and pragmatics"
    - "average case complexity"

Connected through hyperedge HE-2 (induced by source paper "toward negotiable reinforcement learning shifting priorities in pareto optimal sequential decision making"):
  with members:
    - "cooperative inverse reinforcement learning"
    - "parametric bounded lob s theorem and robust cooperation of bounded agents"

Connected through hyperedge HE-3 (induced by source paper "concrete problems in ai safety"):
  with members:
    - "safe exploration in finite markov decision processes with gaussian processes"
    - "practical black box attacks against machine learning"
    - "deep exploration via bootstrapped dqn"
    - "synthesizing the preferred inputs for neurons in neural networks via deep generator networks"
    - "hierarchical deep reinforcement learning integrating temporal abstraction and intrinsic motivation"
    - "asymptotic convergence in online learning with unbounded delays"
    - "parametric bounded lob s theorem and robust cooperation of bounded agents"
    - "guided cost learning deep inverse optimal control via policy optimization"

Connected through hyperedge HE-4 (induced by source paper "research priorities for robust and beneficial artificial intelligence"):
  with members:
    - "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"
    - "i don t want to think about it now decision theory with costly computation"
    - "provably bounded optimal agents"

Connected through hyperedge HE-5 (induced by source paper "optimal polynomial time estimators a bayesian notion of approximation algorithm"):
  with members:
    - "sum of squares proofs and the quest toward optimal algorithms"
    - "probabilities on sentences in an expressive logic"
    - "resource bounded measure"

Connected through hyperedge HE-6 (induced by source paper "parametric bounded lob s theorem and robust cooperation of bounded agents"):
  with members:
    - "research priorities for robust and beneficial artificial intelligence"
    - "robust cooperation in the prisoner s dilemma program equilibrium via provability logic"

Connected through hyperedge HE-7 (induced by source paper "sequential extensions of causal and evidential decision theory"):
  with members:
    - "research priorities for robust and beneficial artificial intelligence"

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.AI(Artificial Intelligence)