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: "the world as evolving information"
  Abstract: This paper discusses the benefits of describing the world as information, especially in the study of the evolution of life and cognition. Traditional studies encounter problems because it is difficult to describe life and cognition in terms of matter and energy, since their laws are valid only at the physical scale. However, if matter and energy, as well as life and cognition, are described in terms of information, evolution can be described consistently as information becoming more complex.

Connected through hyperedge HE-1 (induced by source paper "relating complexities for the reflexive study of complex systems"):
  with members:
    - "self referential basis of undecidable dynamics from the liar paradox and the halting problem to the edge of chaos"
    - "a spatialised bibliometrics approach of a scientific journal production"
    - "an applied knowledge framework to study complex systems"
    - "exploration of an interdisciplinary scientific landscape"
    - "when the map is better than the territory"
    - "the generalized traveling salesman problem solved with ant algorithms"
    - "a hybrid network grid model of urban morphogenesis and optimization"
    - "complexity measurement of natural and artificial languages"

Connected through hyperedge HE-2 (induced by source paper "information and computation"):
  with members:
    - "learning social intelligence and the turing test why an out of the box turing machine will not pass the turing test"
    - "complexity and information measuring emergence self organization and homeostasis at multiple scales"
    - "information contagion an empirical study of the spread of news on digg and twitter social networks"
    - "computing networks a general framework to contrast neural and swarm cognitions"

Connected through hyperedge HE-3 (induced by source paper "complexity and information measuring emergence self organization and homeostasis at multiple scales"):
  with members:
    - "learning social intelligence and the turing test why an out of the box turing machine will not pass the turing test"
    - "numerical evaluation of algorithmic complexity for short strings a glance into the innermost structure of randomness"
    - "computing networks a general framework to contrast neural and swarm cognitions"
    - "image characterization and classification by physical complexity"
    - "compression based investigation of the dynamical properties of cellular automata and other systems"
    - "on the kolmogorov chaitin complexity for short sequences"
    - "classification of random boolean networks"

Connected through hyperedge HE-4 (induced by source paper "measuring the complexity of ultra large scale adaptive systems"):
  with members:
    - "complexity and information measuring emergence self organization and homeostasis at multiple scales"

Connected through hyperedge HE-5 (induced by source paper "computing networks a general framework to contrast neural and swarm cognitions"):
  with members:
    - "the use of ideas of information theory for studying language and intelligence in ants"
    - "classification of random boolean networks"

Connected through hyperedge HE-6 (induced by source paper "the future of scientific simulations from artificial life to artificial cosmogenesis"):
  with members:
    - "accelerating socio technological evolution from ephemeralization and stigmergy to the global brain"

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)