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: "meme and variations a computer model of cultural evolution"
  Abstract: Holland's (1975) genetic algorithm is a minimal computer model of natural selection that made it possible to investigate the effect of manipulating specific parameters on the evolutionary process. If culture is, like biology, a form of evolution, it should be possible to similarly abstract the underlying skeleton of the process and develop a minimal model of it. Meme and Variations, or MAV, is a computational model, inspired by the genetic algorithm, of how ideas evolve in a society of interacting individuals (Gabora 1995). The name is a pun on the classical music form 'theme and variations', because it is based on the premise that novel ideas are variations of old ones; they result from tweaking or combining existing ideas in new ways (Holland et al. 1981). MAV explores the impact of biological phenomena such as over-dominance and epistasis as well as cognitive and social phenomena such as the ability to learn generalizations or imitate others on the fitness and diversity of cultural transmissible actions.

Connected through hyperedge HE-1 (induced by source paper "modelling the socialization of creative agents in a master apprentice setting the case of movie title puns"):
  with members:
    - "pun generation with surprise"
    - "opennmt open source toolkit for neural machine translation"
    - "effective approaches to attention based neural machine translation"
    - "implementing feedback in creative systems a workshop approach"

Connected through hyperedge HE-2 (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"
    - "how creative should creators be to optimize the evolution of ideas a computational model"

Connected through hyperedge HE-3 (induced by source paper "are effective leaders creative"):
  with members:
    - "an agent based simulation of the effectiveness of creative leadership"

Connected through hyperedge HE-4 (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"
    - "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"

Connected through hyperedge HE-5 (induced by source paper "how did humans become so creative a computational approach"):
  with members:
    - "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"
    - "modeling cultural dynamics"

Connected through hyperedge HE-6 (induced by source paper "an agent based model of the cognitive mechanisms underlying the origins of creative cultural evolution"):
  with members:
    - "evoc a computer model of the evolution of culture"
    - "how creative should creators be to optimize the evolution of ideas a computational model"
    - "modeling cultural dynamics"

Connected through hyperedge HE-7 (induced by source paper "a computational model of two cognitive transitions underlying cultural evolution"):
  with members:
    - "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)