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: "how creative should creators be to optimize the evolution of ideas a computational model"
  Abstract: There are both benefits and drawbacks to creativity. In a social group it is not necessary for all members to be creative to benefit from creativity; some merely imitate or enjoy the fruits of others' creative efforts. What proportion should be creative? This paper contains a very preliminary investigation of this question carried out using a computer model of cultural evolution referred to as EVOC (for EVOlution of Culture). EVOC is composed of neural network based agents that evolve fitter ideas for actions by (1) inventing new ideas through modification of existing ones, and (2) imitating neighbors' ideas. The ideal proportion with respect to fitness of ideas occurs when thirty to forty percent of the individuals is creative. When creators are inventing 50% of iterations or less, mean fitness of actions in the society is a positive function of the ratio of creators to imitators; otherwise mean fitness of actions starts to drop when the ratio of creators to imitators exceeds approximately 30%. For all levels or creativity, the diversity of ideas in a population is positively correlated with the ratio of creative agents.

Connected through hyperedge HE-1 (induced by source paper "can other people make you less creative"):
  with members:
    - "computational evidence that self regulation of creativity is good for society"
    - "society functions best with an intermediate level of creativity"
    - "meme and variations a computer model of cultural evolution"

Connected through hyperedge HE-2 (induced by source paper "cultural evolution as distributed computation"):
  with members:
    - "society functions best with an intermediate level of creativity"
    - "a conceptual network based approach to inferring the cultural evolutionary history of the baltic psaltery"
    - "concepts and their dynamics a quantum theoretic modeling of human thought"
    - "meme and variations a computer model of cultural evolution"
    - "evoc a computer model of the evolution of culture"
    - "the guppy effect as interference"
    - "an agent based simulation of the effectiveness of creative leadership"
    - "incorporating characteristics of human creativity into an evolutionary art algorithm"

Connected through hyperedge HE-3 (induced by source paper "how did humans become so creative a computational approach"):
  with members:
    - "meme and variations a computer model of cultural evolution"
    - "an agent based simulation of the effectiveness of creative leadership"
    - "incorporating characteristics of human creativity into an evolutionary art algorithm"
    - "modeling cultural dynamics"

Connected through hyperedge HE-4 (induced by source paper "an agent based model of the cognitive mechanisms underlying the origins of creative cultural evolution"):
  with members:
    - "meme and variations a computer model of cultural evolution"
    - "evoc a computer model of the evolution of culture"
    - "modeling cultural dynamics"

Connected through hyperedge HE-5 (induced by source paper "a computational model of two cognitive transitions underlying cultural evolution"):
  with members:
    - "meme and variations a computer model of cultural evolution"
    - "incorporating characteristics of human creativity into an evolutionary art algorithm"

Connected through hyperedge HE-6 (induced by source paper "an agent based simulation of the effectiveness of creative leadership"):
  with members:
    - "evoc a computer model of the evolution of culture"
    - "modeling cultural dynamics"

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)