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: "society functions best with an intermediate level of creativity"
  Abstract: In a society, a proportion of the individuals can benefit from creativity without being creative themselves by copying the creators. This paper uses an agent-based model of cultural evolution to investigate how society is affected by different levels of individual creativity. We performed a time series analysis of the mean fitness of ideas across the artificial society varying both the percentage of creators, C, and how creative they are, p using two discounting methods. Both analyses revealed a valley in the adaptive landscape, indicating a tradeoff between C and p. The results suggest that excess creativity at the individual level can be detrimental at the level of the society because creators invest in unproven ideas at the expense of propagating proven ideas.

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"
    - "meme and variations a computer model of cultural evolution"
    - "how creative should creators be to optimize the evolution of ideas a computational model"

Connected through hyperedge HE-2 (induced by source paper "computational evidence that self regulation of creativity is good for society"):
  with members:
    - "a computational model of two cognitive transitions underlying cultural evolution"

Connected through hyperedge HE-3 (induced by source paper "cultural evolution as distributed computation"):
  with members:
    - "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"
    - "how creative should creators be to optimize the evolution of ideas a computational model"

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.MA(Multiagent Systems)