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 "complexity and information measuring emergence self organization and homeostasis at multiple scales"):
  Abstract: Concepts used in the scientific study of complex systems have become so widespread that their use and abuse has led to ambiguity and confusion in their meaning. In this article, we use information theory to provide abstract and concise measures of complexity, emergence, self-organization, and homeostasis. The purpose is to clarify the meaning of these concepts with the aid of the proposed formal measures. In a simplified version of the measures (focusing on the information produced by a system), emergence becomes the opposite of self-organization, while complexity represents their balance. Homeostasis can be seen as a measure of the stability of the system. We use computational experiments on random Boolean networks and elementary cellular automata to illustrate our measures at multiple scales. © 2012 Wiley Periodicals, Inc. Complexity, 2012 © 2012 Wiley Periodicals, Inc.

Includes members:
  Member "learning social intelligence and the turing test why an out of the box turing machine will not pass the turing test":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "information and computation")
  Member "the world as evolving information":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "relating complexities for the reflexive study of complex systems")
  Member "numerical evaluation of algorithmic complexity for short strings a glance into the innermost structure of randomness":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "asymptotic intrinsic universality and natural reprogrammability by behavioural emulation")
  Member "computing networks a general framework to contrast neural and swarm cognitions":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "information and computation")
  Member "image characterization and classification by physical complexity":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "natural scene statistics mediate the perception of image complexity")
  Member "compression based investigation of the dynamical properties of cellular automata and other systems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the information theoretic and algorithmic approach to human animal and artificial cognition")
  Member "on the kolmogorov chaitin complexity for short sequences":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "compression is comprehension and the unreasonable effectiveness of digital computation in the natural world")
  Member "classification of random boolean networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "discrete and fuzzy dynamical genetic programming in the xcsf learning classifier system")

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.IT(Information Theory)