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 nature like computation a behavioural approach and a notion of programmability"
  Abstract: The aim of this paper is to propose an alternative behavioural definition of computation (and of a computer) based simply on whether a system is capable of reacting to the environment—the input—as reflected in a measure of programmability. This definition is intended to have relevance beyond the realm of digital computers, particularly vis-a-vis natural systems. This will be done by using an extension of a phase transition coefficient previously defined in an attempt to characterise the dynamical behaviour of cellular automata and other systems. The transition coefficient measures the sensitivity of a system to external stimuli and will be used to define the susceptibility of a system to be (efficiently) programmed.

Connected through hyperedge HE-1 (induced by source paper "paths to unconventional computing causality in complexity"):
  with members:
    - "algorithmic data analytics small data matters and correlation versus causation"
    - "asymptotic intrinsic universality and natural reprogrammability by behavioural emulation"
    - "causality information and biological computation an algorithmic software approach to life disease and the immune system"
    - "cross boundary behavioural reprogrammability of cellular automata from emulation networks"
    - "natural scene statistics mediate the perception of image complexity"
    - "correlation of automorphism group size and topological properties with program size complexity evaluations of graphs and complex networks"
    - "a behavioural foundation for natural computing and a programmability test"
    - "calculating kolmogorov complexity from the output frequency distributions of small turing machines"

Connected through hyperedge HE-2 (induced by source paper "asymptotic intrinsic universality and natural reprogrammability by behavioural emulation"):
  with members:
    - "cross boundary behavioural reprogrammability of cellular automata from emulation networks"
    - "exploring programmable self assembly in non dna based molecular computing"
    - "a behavioural foundation for natural computing and a programmability test"
    - "on the dynamic qualitative behaviour of universal computation"
    - "numerical evaluation of algorithmic complexity for short strings a glance into the innermost structure of randomness"
    - "most programs stop quickly or never halt"

Connected through hyperedge HE-3 (induced by source paper "the information theoretic and algorithmic approach to human animal and artificial cognition"):
  with members:
    - "algorithmic complexity for short binary strings applied to psychology a primer"
    - "algorithmic complexity for psychology a user friendly implementation of the coding theorem method"
    - "natural scene statistics mediate the perception of image complexity"
    - "correlation of automorphism group size and topological properties with program size complexity evaluations of graphs and complex networks"
    - "is consciousness computable quantifying integrated information using algorithmic information theory"
    - "calculating kolmogorov complexity from the output frequency distributions of small turing machines"
    - "algorithmic simplicity and relevance"
    - "two dimensional kolmogorov complexity and validation of the coding theorem method by compressibility"

Connected through hyperedge HE-4 (induced by source paper "causality information and biological computation an algorithmic software approach to life disease and the immune system"):
  with members:
    - "correlation of automorphism group size and topological properties with program size complexity evaluations of graphs and complex networks"
    - "turing patterns with turing machines emergence and low level structure formation"
    - "the world is either algorithmic or mostly random"
    - "compression based investigation of the dynamical properties of cellular automata and other systems"
    - "on the algorithmic nature of the world"

Connected through hyperedge HE-5 (induced by source paper "quantifying natural and artificial intelligence in robots and natural systems with an algorithmic behavioural test"):
  with members:
    - "correlation of automorphism group size and topological properties with program size complexity evaluations of graphs and complex networks"
    - "calculating kolmogorov complexity from the output frequency distributions of small turing machines"
    - "on the dynamic qualitative behaviour of universal computation"
    - "two dimensional kolmogorov complexity and validation of the coding theorem method by compressibility"
    - "empirical encounters with computational irreducibility and unpredictability"

Connected through hyperedge HE-6 (induced by source paper "levels of abstraction and the apparent contradictory philosophical legacy of turing and shannon"):
  with members:
    - "an algorithmic approach to information and meaning"
    - "on the algorithmic nature of the world"

Connected through hyperedge HE-7 (induced by source paper "a behavioural foundation for natural computing and a programmability test"):
  with members:
    - "on the dynamic qualitative behaviour of universal computation"
    - "numerical evaluation of algorithmic complexity for short strings a glance into the innermost structure of randomness"
    - "empirical encounters with computational irreducibility and unpredictability"
    - "compression based investigation of the dynamical properties of cellular automata and other systems"
    - "the symbol grounding problem"

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.LO(Logic in Computer Science)