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: "swarms on continuous data"
  Abstract: While being it extremely important, many exploratory data analysis (EDA [J. Tukey (1977)]) systems have the inability to perform classification and visualization in a continuous basis or to self-organize new data-items into the older ones (even more into new labels if necessary), which can be crucial in KDD - knowledge discovery [U.M. Fayyad et al., (1996), (1992)], retrieval and data mining systems [S. Mitra et al., (2002), U.M. Fayyad et al., (1996)] (interactive and online forms of Web Applications are just one example). This disadvantage is also present in more recent approaches using self-organizing maps [R. Brits et al., (2001), H.P. Siemon et al., (1990)]. On the present work, and exploiting past successes in recently proposed stigmergic ant systems [V. Ramos et al., (2002)] a robust online classifier is presented, which produces class decisions on a continuous stream data, allowing for continuous mappings. Results show that increasingly better results are achieved, as demonstrated by other authors in different areas [V. Ramos et al., (1999), A. Lumini et al., (1997)].

Connected through hyperedge HE-1 (induced by source paper "lunar cellular automata for drifting data streams"):
  with members:
    - "explainable artificial intelligence xai concepts taxonomies opportunities and challenges toward responsible ai"
    - "spiking neural networks and online learning an overview and perspectives"
    - "evaluating and characterizing incremental learning from non stationary data"
    - "scikit multiflow a multi output streaming framework"
    - "a survey of cellular automata types dynamics non uniformity and applications"
    - "characterizing concept drift"
    - "why should i trust you explaining the predictions of any classifier"

Connected through hyperedge HE-2 (induced by source paper "evolving a stigmergic self organized data mining"):
  with members:
    - "self organizing the abstract canvas as a swarm habitat for collective memory perception and cooperative distributed creativity"
    - "self organized stigmergic document maps environment as a mechanism for context learning"
    - "on the implicit and on the artificial morphogenesis and emergent aesthetics in autonomous collective systems"
    - "artificial ant colonies in digital image habitats a mass behaviour effect study on pattern recognition"
    - "business intelligence from web usage mining"
    - "web usage mining using artificial ant colony clustering and linear genetic programming"
    - "web mining research a survey"

Connected through hyperedge HE-3 (induced by source paper "swarming around shellfish larvae"):
  with members:
    - "from feature extraction to classification a multidisciplinary approach applied to portuguese granites"
    - "self organized stigmergic document maps environment as a mechanism for context learning"
    - "evolving a stigmergic self organized data mining"
    - "artificial ant colonies in digital image habitats a mass behaviour effect study on pattern recognition"
    - "web usage mining using artificial ant colony clustering and linear genetic programming"

Connected through hyperedge HE-4 (induced by source paper "antids self organized ant based clustering model for intrusion detection system"):
  with members:
    - "from feature extraction to classification a multidisciplinary approach applied to portuguese granites"
    - "self organized stigmergic document maps environment as a mechanism for context learning"
    - "evolving a stigmergic self organized data mining"
    - "artificial ant colonies in digital image habitats a mass behaviour effect study on pattern recognition"
    - "web usage mining using artificial ant colony clustering and linear genetic programming"

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)