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 "human and smart machine co learning brain computer interaction at the 2017 ieee international conference on systems man and cybernetics"):
  Abstract: Machine learning has recently become very popular in cybernetics systems, but it has always been considered an important research area in the computational intelligence field. Nevertheless, when it comes to smart machines, it is not just about methodologies; we also need to consider systems, cybernetics, and sometimes even humans. R&#x000E9;mi Coulom, a freelance developer of Go programs, notes, "Online games are usually played at a faster pace, which favors the computer over humans," and, still, he expects a strong correlation in performance in serious tournament games [1]. This is why Go games were played on site rather than just on the Internet at the special event "Human and Smart Machine Co-Learning" [11], which was held during the IEEE International Conference on Systems, Man, and Cybernetics (SMC) on 5 October 2017 in Banff, Canada.

Includes members:
  Member "fml based dynamic assessment agent for human machine cooperative system on game of go":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "pfml based semantic bci agent for game of go learning and prediction")
  Member "human vs computer go review and prospect":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fml based dynamic assessment agent for human machine cooperative system on game of go")
  Member "better computer go player with neural network and long term prediction":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "accelerating and improving alphazero using population based training")

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)