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: "an agent based simulation of the effectiveness of creative leadership"
  Abstract: This paper investigates the effectiveness of creative versus uncreative leadership using EVOC, an agent-based model of cultural evolution. Each iteration, each agent in the artificial society invents a new action, or imitates a neighbor's action. Only the leader's actions can be imitated by all other agents, referred to as followers. Two measures of creativity were used: (1) invention-to-imitation ratio, iLeader, which measures how often an agent invents, and (2) rate of conceptual change, cLeader, which measures how creative an invention is. High iLeader increased mean fitness of ideas, but only when creativity of followers was low. High iLeader was associated with greater diversity of ideas in the early stage of idea generation only. High cLeader increased mean fitness of ideas in the early stage of idea generation; in the later stage it decreased idea fitness. Reasons for these findings and tentative implications for creative leadership in human society are discussed.

Connected through hyperedge HE-1 (induced by source paper "are effective leaders creative"):
  with members:
    - "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"
    - "incorporating characteristics of human creativity into an evolutionary art algorithm"
    - "how creative should creators be to optimize the evolution of ideas a computational model"

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"
    - "incorporating characteristics of human creativity into an evolutionary art algorithm"
    - "how creative should creators be to optimize the evolution of ideas a computational model"
    - "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.MA(Multiagent Systems)