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 "the many ai challenges of hearthstone"):
  Abstract: Games have benchmarked AI methods since the inception of the field, with classic board games such as Chess and Go recently leaving room for video games with related yet different sets of challenges. The set of AI problems associated with video games has in recent decades expanded from simply playing games to win, to playing games in particular styles, generating game content, modeling players etc. Different games pose very different challenges for AI systems, and several different AI challenges can typically be posed by the same game. In this article we analyze the popular collectible card game Hearthstone (Blizzard 2014) and describe a varied set of interesting AI challenges posed by this game. Collectible card games are relatively understudied in the AI community, despite their popularity and the interesting challenges they pose. Analyzing a single game in-depth in the manner we do here allows us to see the entire field of AI and Games through the lens of a single game, discovering a few new variations on existing research topics.

Includes members:
  Member "mapping hearthstone deck spaces through map elites with sliding boundaries":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "automating representation discovery with map elites")
  Member "evolving the hearthstone meta":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "evolutionary approach to collectible card game arena deckbuilding using active genes")
  Member "co creative level design via machine learning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "machine learning based co creative design framework")
  Member "improving hearthstone ai by combining mcts and supervised learning algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "covariance matrix adaptation for the rapid illumination of behavior space")
  Member "atdelfi automatically designing legible full instructions for games":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "mech elites illuminating the mechanic space of gvgai")
  Member "automated playtesting with procedural personas through mcts with evolved heuristics":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "conceptual game expansion")
  Member "helping ai to play hearthstone aaia 17 data mining challenge":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "mapping hearthstone deck spaces through map elites with sliding boundaries")
  Member "latent predictor networks for code generation":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "multi modal attention network learning for semantic source code retrieval")

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)