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: "a complete theory of everything will be subjective"
  Abstract: Marcus HutterSoCS, RSISE, IAS, CECS, Australian National University, Canberra, ACT, 0200, Australia;E-Mail: marcus.hutter@anu.edu.auReceived: 30 August 2010 / Accepted: 22 September 2010 / Published: 29 September 2010Abstract: Increasingly encompassing models have been suggested for our world. Theoriesrange from generally accepted to increasingly speculative to apparently bogus. Theprogression of theories from ego- to geo- to helio-centric models to universe and multiversetheories and beyond was accompanied by a dramatic increase in the sizes of the postulatedworlds, with humans being expelled from their center to ever more remote and randomlocations. Rather than leading to a true theory of everything, this trend faces a turning pointafter which the predictive power of such theories decreases (actually to zero). Incorporatingthe location and other capacities of the observer into such theories avoids this problemand allows to distinguish meaningful from predictively meaningless theories. This alsoleads to a truly complete theory of everything consisting of a (conventional objective)theory of everything plus a (novel subjective) observer process. The observer localizationis neither based on the controversial anthropic principle, nor has it anything to do withthe quantum-mechanical observation process. The suggested principle is extended to morepractical (partial, approximate, probabilistic, parametric) world models (rather than theoriesof everything). Finally, I provide a justiﬁcation of Ockham’s razor, and criticize the anthropicprinciple, the doomsday argument, the no free lunch theorem, and the falsiﬁability dogma.Keywords: world models; observer localization; predictive power; Ockham’s razor;universal theories; inductive reasoning; simplicity and complexity; universal self-sampling;no-free-lunch; computability

Connected through hyperedge HE-1 (induced by source paper "when and why metaheuristics researchers can ignore no free lunch theorems"):
  with members:
    - "no free lunch theorem and bayesian probability theory two sides of the same coin some implications for black box optimization and metaheuristics"
    - "on classes of functions for which no free lunch results hold"

Connected through hyperedge HE-2 (induced by source paper "can intelligence explode"):
  with members:
    - "one decade of universal artificial intelligence"
    - "a philosophical treatise of universal induction"
    - "a monte carlo aixi approximation"
    - "a collection of definitions of intelligence"
    - "simple algorithmic principles of discovery subjective beauty selective attention curiosity creativity"
    - "universal intelligence a definition of machine intelligence"
    - "new millennium ai and the convergence of history"

Connected through hyperedge HE-3 (induced by source paper "a philosophical treatise of universal induction"):
  with members:
    - "a monte carlo aixi approximation"
    - "open problems in universal induction intelligence"
    - "algorithmic information theory a brief non technical guide to the field"
    - "algorithmic complexity bounds on future prediction errors"
    - "universal intelligence a definition of machine intelligence"
    - "similarity of objects and the meaning of words"
    - "adaptive online prediction by following the perturbed leader"
    - "convergence and loss bounds for bayesian sequence prediction"

Connected through hyperedge HE-4 (induced by source paper "algorithmic randomness as foundation of inductive reasoning and artificial intelligence"):
  with members:
    - "open problems in universal induction intelligence"
    - "universal algorithmic intelligence a mathematical top down approach"
    - "algorithmic information theory a brief non technical guide to the field"
    - "universal intelligence a definition of machine intelligence"
    - "a theory of universal artificial intelligence based on algorithmic complexity"

Connected through hyperedge HE-5 (induced by source paper "no free lunch versus occam s razor in supervised learning"):
  with members:
    - "a philosophical treatise of universal induction"
    - "a monte carlo aixi approximation"

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.IT(Information Theory)