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: "evolving a stigmergic self organized data mining"
  Abstract: Self-organizing complex systems typically are comprised of a large number of frequently similar components or events. Through their process, a pattern at the global-level of a system emerges solely from numerous interactions among the lower-level components of the system. Moreover, the rules specifying interactions among the system's components are executed using only local information, without reference to the global pattern, which, as in many real-world problems is not easily accessible or possible to be found. Stigmergy, a kind of indirect communication and learning by the environment found in social insects is a well know example of self-organization, providing not only vital clues in order to understand how the components can interact to produce a complex pattern, as can pinpoint simple biological non-linear rules and methods to achieve improved artificial intelligent adaptive categorization systems, critical for Data-Mining. On the present work it is our intention to show that a new type of Data-Mining can be designed based on Stigmergic paradigms, taking profit of several natural features of this phenomenon. By hybridizing bio-inspired Swarm Intelligence with Evolutionary Computation we seek for an entire distributed, adaptive, collective and cooperative self-organized Data-Mining. As a real-world, real-time test bed for our proposal, World-Wide-Web Mining will be used. Having that purpose in mind, Web usage Data was collected from the Monash University's Web site (Australia), with over 7 million hits every week. Results are compared to other recent systems, showing that the system presented is by far promising.

Connected through hyperedge HE-1 (induced by source paper "computational chemotaxis in ants and bacteria over dynamic environments"):
  with members:
    - "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"

Connected through hyperedge HE-2 (induced by source paper "on ants bacteria and dynamic environments"):
  with members:
    - "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"

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"
    - "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"
    - "swarms on continuous data"

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"
    - "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"
    - "swarms on continuous data"

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)