human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "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.

Includes members:
  Member "self organizing the abstract canvas as a swarm habitat for collective memory perception and cooperative distributed creativity":
    also connected through other hyperedges:
      (none)
  Member "self organized stigmergic document maps environment as a mechanism for context learning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a model for foraging ants controlled by spiking neural networks and double pheromones")
  Member "on the implicit and on the artificial morphogenesis and emergent aesthetics in autonomous collective systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "computational chemotaxis in ants and bacteria over dynamic environments")
  Member "artificial ant colonies in digital image habitats a mass behaviour effect study on pattern recognition":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "swarming around shellfish larvae")
  Member "business intelligence from web usage mining":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "data text and web mining for business intelligence a survey")
  Member "web usage mining using artificial ant colony clustering and linear genetic programming":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "swarming around shellfish larvae")
  Member "swarms on continuous data":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "lunar cellular automata for drifting data streams")
  Member "web mining research a survey":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "belief places and spaces mapping cognitive environments")

Question: Please tell me which class the source paper 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)