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: "on the behavioral interpretation of system environment fit and auto resilience"
  Abstract: Already 71 years ago Rosenblueth, Wiener, and Bigelow introduced the concept of the “behavioristic study of natural events” and proposed a classification of systems according to the quality of the behaviors they are able to exercise. In this paper we consider the problem of the resilience of a system when deployed in a changing environment, which we tackle by considering the behaviors both the system organs and the environment mutually exercise. We then introduce a partial order and a metric space for those behaviors, and we use them to define a behavioral interpretation of the concept of system-environment fit. Moreover we suggest that behaviors based on the extrapolation of future environmental requirements would allow systems to proactively improve their own system-environment fit and optimally evolve their resilience. Finally we describe how we plan to express a complex optimization strategy in terms of the concepts introduced in this paper.

Connected through hyperedge HE-1 (induced by source paper "on environments as systemic exoskeletons crosscutting optimizers and antifragility enablers"):
  with members:
    - "fractally organized connectionist networks conjectures and preliminary results"
    - "tapping into the wells of social energy a case study based on falls identification"
    - "on the quality of emergence in complex collective systems"
    - "on resilient behaviors in computational systems and environments"
    - "a framework for trustworthiness assessment based on fidelity in cyber and physical domains"
    - "how resilient are our societies analyses models and preliminary results"
    - "service oriented communities visions and contributions towards social organizations"
    - "antifragility elasticity resilience machine learning models and algorithms for open system fidelity"

Connected through hyperedge HE-2 (induced by source paper "on resilient behaviors in computational systems and environments"):
  with members:
    - "on the requirements of new software development"
    - "quality indicators for collective systems resilience"
    - "behavior organization substance three gestalts of general systems theory"
    - "reflections on organization emergence and control in sociotechnical systems"
    - "on the constituent attributes of software and organizational resilience"

Connected through hyperedge HE-3 (induced by source paper "systems resilience and organization analogies and points of contact with hierarchy theory"):
  with members:
    - "towards a smarter organization for a self servicing society"
    - "a framework for trustworthiness assessment based on fidelity in cyber and physical domains"
    - "quality indicators for collective systems resilience"
    - "antifragility elasticity resilience machine learning models and algorithms for open system fidelity"
    - "behavior organization substance three gestalts of general systems theory"
    - "mutualistic relationships in service oriented communities and fractal social organizations"
    - "application layer fault tolerance protocols"

Connected through hyperedge HE-4 (induced by source paper "behavior organization substance three gestalts of general systems theory"):
  with members:
    - "robust and tuneable family of gossiping algorithms"
    - "quality indicators for collective systems resilience"
    - "antifragility elasticity resilience machine learning models and algorithms for open system fidelity"
    - "on the constituent attributes of software and organizational resilience"

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.OH(Other Computer Science)