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: "can intelligence explode"
  Abstract: The technological singularity refers to a hypothetical scenario in which technological advances virtually explode. The most popular scenario is the creation of super-intelligent algorithms that recursively create ever higher intelligences. It took many decades for these ideas to spread from science fiction to popular science magazines and finally to attract the attention of serious philosophers. David Chalmers' (JCS 2010) article is the first comprehensive philosophical analysis of the singularity in a respected philosophy journal. The motivation of my article is to augment Chalmers' and to discuss some issues not addressed by him, in particular what it could mean for intelligence to explode. In this course, I will (have to) provide a more careful treatment of what intelligence actually is, separate speed from intelligence explosion, compare what super-intelligent participants and classical human observers might experience and do, discuss immediate implications for the diversity and value of life, consider possible bounds on intelligence, and contemplate intelligences right at the singularity.

Connected through hyperedge HE-1 (induced by source paper "measuring the intelligence of an idealized mechanical knowing agent"):
  with members:
    - "universal intelligence a definition of machine intelligence"

Connected through hyperedge HE-2 (induced by source paper "the temporal singularity time accelerated simulated civilizations and their implications"):
  with members:
    - "in datacenter performance analysis of a tensor processing unit"
    - "the future of scientific simulations from artificial life to artificial cosmogenesis"

Connected through hyperedge HE-3 (induced by source paper "indifference methods for managing agent rewards"):
  with members:
    - "counterfactual equivalence for pomdps and underlying deterministic environments"
    - "agi safety literature review"
    - "ai safety gridworlds"
    - "should robots be obedient"
    - "good and safe uses of ai oracles"
    - "concrete problems in ai safety"
    - "self modification of policy and utility function in rational agents"

Connected through hyperedge HE-4 (induced by source paper "good and safe uses of ai oracles"):
  with members:
    - "agi safety literature review"
    - "ai safety gridworlds"
    - "cooperative inverse reinforcement learning"
    - "concrete problems in ai safety"

Connected through hyperedge HE-5 (induced by source paper "one decade of universal artificial intelligence"):
  with members:
    - "principles of solomonoff induction and aixi"
    - "asymptotically optimal agents"
    - "universal learning theory"
    - "an approximation of the universal intelligence measure"
    - "axioms for rational reinforcement learning"
    - "non equivalence of universal priors"
    - "feature reinforcement learning in practice"
    - "a philosophical treatise of universal induction"

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)