human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "universal algorithmic ethics"):
  Abstract: This paper proposes a novel research direction for algorithmic probability theory, which now allows to formalize philosophical questions about concepts such as the simulation argument, personal identity, and the rationality of utilitarianism. Pushing progress in these directions might be of high relevance for future society and artificial general intelligence. We start to build up a set of formulae while relating them to the real world. We then use our gained understanding to outline in a few examples how to correctly decide between conflicting philosophical hypotheses. Our approach arises from combining the essential ideas of formalisms such as: Universal intelligence measure, space-time-embedded intelligence, Hutter observer localisation.

Includes members:
  Member "universal empathy and ethical bias for artificial general intelligence":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "applications of algorithmic probability to the philosophy of mind")
  Member "what is it like to be a brain simulation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "detecting qualia in natural and artificial agents")
  Member "a philosophical treatise of universal induction":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "resolving spurious correlations in causal models of environments via interventions")
  Member "the similarity metric":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "max margin class imbalanced learning with gaussian affinity")

Question: Please tell me which class the source paper 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)