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: "articulation and clarification of the dendritic cell algorithm"
  Abstract: The Dendritic Cell algorithm (DCA) is inspired by recent work in innate immunity. In this paper a formal description of the DCA is given. The DCA is described in detail, and its use as an anomaly detector is illustrated within the context of computer security. A port scan detection task is performed to substantiate the influence of signal selection on the behaviour of the algorithm. Experimental results provide a comparison of differing input signal mappings.

Connected through hyperedge HE-1 (induced by source paper "the dendritic cell algorithm for intrusion detection"):
  with members:
    - "integrating real time analysis with the dendritic cell algorithm through segmentation"
    - "further exploration of the dendritic cell algorithm antigen multiplier and time windows"
    - "introducing dendritic cells as a novel immune inspired algorithm for anomoly detection"
    - "exploration of the dendritic cell algorithm using the duration calculus"
    - "the application of a dendritic cell algorithm to a robotic classifier"
    - "pca 4 dca the application of principal component analysis to the dendritic cell algorithm"
    - "dca for bot detection"
    - "immune system approaches to intrusion detection a review"

Connected through hyperedge HE-2 (induced by source paper "a ddos aware ids model based on danger theory and mobile agents"):
  with members:
    - "introducing dendritic cells as a novel immune inspired algorithm for anomoly detection"

Connected through hyperedge HE-3 (induced by source paper "immuno inspired robotic applications a review"):
  with members:
    - "two timescale learning using idiotypic behaviour mediation for a navigating mobile robot"
    - "the deterministic dendritic cell algorithm"
    - "the application of a dendritic cell algorithm to a robotic classifier"
    - "an idiotypic immune network as a short term learning architecture for mobile robots"
    - "genetic algorithm seeding of idiotypic networks for mobile robot navigation"
    - "idiotypic immune networks in mobile robot control"

Connected through hyperedge HE-4 (induced by source paper "information fusion for anomaly detection with the dendritic cell algorithm"):
  with members:
    - "introducing dendritic cells as a novel immune inspired algorithm for anomoly detection"
    - "towards a conceptual framework for innate immunity"
    - "libtissue implementing innate immunity"
    - "dendritic cells for anomaly detection"

Connected through hyperedge HE-5 (induced by source paper "information fusion in the immune system"):
  with members:
    - "an immune inspired approach to anomaly detection"
    - "immune system approaches to intrusion detection a review"
    - "libtissue implementing innate immunity"
    - "dendritic cells for anomaly detection"

Connected through hyperedge HE-6 (induced by source paper "the deterministic dendritic cell algorithm"):
  with members:
    - "information fusion for anomaly detection with the dendritic cell algorithm"
    - "the application of a dendritic cell algorithm to a robotic classifier"
    - "dendritic cells for anomaly detection"

Connected through hyperedge HE-7 (induced by source paper "detecting anomalous process behaviour using second generation artificial immune systems"):
  with members:
    - "towards a conceptual framework for innate immunity"
    - "libtissue implementing innate immunity"
    - "dendritic cells for anomaly detection"

Connected through hyperedge HE-8 (induced by source paper "dendritic cells for syn scan detection"):
  with members:
    - "libtissue implementing innate immunity"
    - "dendritic cells for anomaly detection"

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)