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: "fml based dynamic assessment agent for human machine cooperative system on game of go"
  Abstract: In this paper, we demonstrate the application of Fuzzy Markup Language (FML) to construct an FML-based Dynamic Assessment Agent (FDAA), and we present an FML-based Human–Machine Cooperative System (FHMCS) for the game of Go. The proposed FDAA comprises an intelligent decision-making and learning mechanism, an intelligent game bot, a proximal development agent, and an intelligent agent. The intelligent game bot is based on the open-source code of Facebook’s Darkforest, and it features a representational state transfer application programming interface mechanism. The proximal development agent contains a dynamic assessment mechanism, a GoSocket mechanism, and an FML engine with a fuzzy knowledge base and rule base. The intelligent agent contains a GoSocket engine and a summarization agent that is based on the estimated win rate, real-time simulation number, and matching degree of predicted moves. Additionally, the FML for player performance evaluation and linguistic descriptions for game results commentary are presented. We experimentally verify and validate the performance of the FDAA and variants of the FHMCS by testing five games in 2016 and 60 games of Google’s Master Go, a new version of the AlphaGo program, in January 2017. The experimental results demonstrate that the proposed FDAA can work effectively for Go applications.

Connected through hyperedge HE-1 (induced by source paper "pfml based semantic bci agent for game of go learning and prediction"):
  with members:
    - "pso based fuzzy markup language for student learning performance evaluation and educational application"
    - "human and smart machine co learning brain computer interaction at the 2017 ieee international conference on systems man and cybernetics"
    - "ontology based fuzzy markup language agent for student and robot co learning"
    - "better computer go player with neural network and long term prediction"

Connected through hyperedge HE-2 (induced by source paper "a gfml based robot agent for human and machine cooperative learning on game of go"):
  with members:
    - "pso based fuzzy markup language for student learning performance evaluation and educational application"
    - "better computer go player with neural network and long term prediction"

Connected through hyperedge HE-3 (induced by source paper "human and smart machine co learning brain computer interaction at the 2017 ieee international conference on systems man and cybernetics"):
  with members:
    - "human vs computer go review and prospect"
    - "better computer go player with neural network and long term prediction"

Connected through hyperedge HE-4 (induced by source paper "ontology based fuzzy markup language agent for student and robot co learning"):
  with members:
    - "pso based fuzzy markup language for student learning performance evaluation and educational application"

Connected through hyperedge HE-5 (induced by source paper "fml based prediction agent and its application to game of go"):
  with members:
    - "human vs computer go review and prospect"
    - "better computer go player with neural network and long term prediction"
    - "teaching deep convolutional neural networks to play go"

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)