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: "avoiding the bloat with stochastic grammar based genetic programming"
  Abstract: The application of Genetic Programming to the discovery of empirical laws is often impaired by the huge size of the search space, and consequently by the computer resources needed. In many cases, the extreme demand for memory and CPU is due to the massive growth of non-coding segments, the introns. The paper presents a new program evolution framework which combines distribution-based evolution in the PBIL spirit, with grammar-based genetic programming; the information is stored as a probability distribution on the gra mmar rules, rather than in a population. Experiments on a real-world like problem show that this approach gives a practical solution to the problem of intron growth.

Connected through hyperedge HE-1 (induced by source paper "improving model based genetic programming for symbolic regression of small expressions"):
  with members:
    - "where are we now a large benchmark study of recent symbolic regression methods"
    - "solving the exponential growth of symbolic regression trees in geometric semantic genetic programming"
    - "a probabilistic linear genetic programming with stochastic context free grammar for solving symbolic regression problems"
    - "symbolic regression algorithms with built in linear regression"
    - "xgboost a scalable tree boosting system"
    - "the mythos of model interpretability"
    - "optimization by pairwise linkage detection incremental linkage set and restricted back mixing dsmga ii"

Connected through hyperedge HE-2 (induced by source paper "consistent feature construction with constrained genetic programming for experimental physics"):
  with members:
    - "a survey of evaluation methods and measures for interpretable machine learning"
    - "explaining explanations an overview of interpretability of machine learning"
    - "feature engineering for predictive modeling using reinforcement learning"
    - "deep learning of representations looking forward"

Connected through hyperedge HE-3 (induced by source paper "digital ecosystems ecosystem oriented architectures"):
  with members:
    - "the computing of digital ecosystems"
    - "complex adaptive digital ecosystems"
    - "the abc of digital business ecosystems"
    - "digital business ecosystems natural science paradigms"
    - "digital ecosystems self organisation of evolving agent populations"
    - "biology of applied digital ecosystems"
    - "digital ecosystems evolving service oriented architectures"

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.AI(Artificial Intelligence)