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: "tests of machine intelligence"
  Abstract: Although the definition and measurement of intelligence is clearly of fundamental importance to the field of artificial intelligence, no general survey of definitions and tests of machine intelligence exists. Indeed few researchers are even aware of alternatives to the Turing test and its many derivatives. In this paper we fill this gap by providing a short survey of the many tests of machine intelligence that have been proposed.

Connected through hyperedge HE-1 (induced by source paper "measuring an artificial intelligence system s performance on a verbal iq test for young children"):
  with members:
    - "towards ai complete question answering a set of prerequisite toy tasks"
    - "solving verbal comprehension questions in iq test by knowledge powered word embedding"
    - "commonsense reasoning and large network analysis a computational study of conceptnet 4"
    - "analogy perception applied to seven tests of word comprehension"

Connected through hyperedge HE-2 (induced by source paper "ai evaluation past present and future"):
  with members:
    - "definition and properties to assess multi agent environments as social intelligence tests"
    - "the arcade learning environment an evaluation platform for general agents"
    - "no free lunch versus occam s razor in supervised learning"
    - "an approximation of the universal intelligence measure"
    - "universal algorithmic intelligence a mathematical top down approach"
    - "universal intelligence a definition of machine intelligence"
    - "graphics turing test"
    - "the 3rd international planning competition results and analysis"

Connected through hyperedge HE-3 (induced by source paper "a note about the generalisation of the c tests"):
  with members:
    - "universal psychometrics tasks difficulty composition and decomposition"
    - "definition and properties to assess multi agent environments as social intelligence tests"
    - "ai evaluation past present and future"
    - "the arcade learning environment an evaluation platform for general agents"
    - "an approximation of the universal intelligence measure"
    - "universal intelligence a definition of machine intelligence"

Connected through hyperedge HE-4 (induced by source paper "is consciousness computable quantifying integrated information using algorithmic information theory"):
  with members:
    - "a principled infotheoretic phi like measure"
    - "nonnegative decomposition of multivariate information"

Connected through hyperedge HE-5 (induced by source paper "open problems in universal induction intelligence"):
  with members:
    - "policy iteration for factored mdps"
    - "feature dynamic bayesian networks"
    - "online planning algorithms for pomdps"
    - "feature markov decision processes"
    - "on the possibility of learning in reactive environments with arbitrary dependence"
    - "a collection of definitions of intelligence"
    - "universal algorithmic intelligence a mathematical top down approach"
    - "algorithmic information theory a brief non technical guide to the field"

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)