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: "what is it like to be a brain simulation"
  Abstract: We frame the question of what kind of subjective experience a brain simulation would have in contrast to a biological brain. We discuss the brain prosthesis thought experiment. We evaluate how the experience of the brain simulation might differ from the biological, according to a number of hypotheses about experience and the properties of simulation. Then, we identify finer questions relating to the original inquiry, and answer them from both a general physicalist, and panexperientialist perspective.

Connected through hyperedge HE-1 (induced by source paper "detecting qualia in natural and artificial agents"):
  with members:
    - "one pixel attack for fooling deep neural networks"
    - "on the origin of synthetic life attribution of output to a particular algorithm"
    - "guidelines for artificial intelligence containment"
    - "artificial intelligence safety and cybersecurity a timeline of ai failures"
    - "the agi containment problem"
    - "adversarial examples in the physical world"
    - "unethical research how to create a malevolent artificial intelligence"
    - "deep neural networks are easily fooled high confidence predictions for unrecognizable images"

Connected through hyperedge HE-2 (induced by source paper "applications of algorithmic probability to the philosophy of mind"):
  with members:
    - "universal empathy and ethical bias for artificial general intelligence"
    - "a philosophical treatise of universal induction"
    - "the similarity metric"

Connected through hyperedge HE-3 (induced by source paper "universal algorithmic ethics"):
  with members:
    - "universal empathy and ethical bias for artificial general intelligence"
    - "a philosophical treatise of universal induction"
    - "the similarity metric"

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)