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 "challenges of human aware ai systems"):
  Abstract: From its inception, AI has had a rather ambivalent relationship to humans---swinging between their augmentation and replacement. Now, as AI technologies enter our everyday lives at an ever increasing pace, there is a greater need for AI systems to work synergistically with humans. To do this effectively, AI systems must pay more attention to aspects of intelligence that helped humans work with each other---including social intelligence. I will discuss the research challenges in designing such human-aware AI systems, including modeling the mental states of humans in the loop, recognizing their desires and intentions, providing proactive support, exhibiting explicable behavior, giving cogent explanations on demand, and engendering trust. I will survey the progress made so far on these challenges, and highlight some promising directions. I will also touch on the additional ethical quandaries that such systems pose. I will end by arguing that the quest for human-aware AI systems broadens the scope of AI enterprise, necessitates and facilitates true inter-disciplinary collaborations, and can go a long way towards increasing public acceptance of AI technologies.

Includes members:
  Member "planning with explanatory actions a joint approach to plan explicability and explanations in human aware planning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "explicability legibility predictability transparency privacy security the emerging landscape of interpretable agent behavior")
  Member "explicability legibility predictability transparency privacy security the emerging landscape of interpretable agent behavior":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the emerging landscape of explainable ai planning and decision making")
  Member "plan explanations as model reconciliation an empirical study":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a grounded interaction protocol for explainable artificial intelligence")
  Member "a unified framework for planning in adversarial and cooperative environments":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "signaling friends and head faking enemies simultaneously balancing goal obfuscation and goal legibility")
  Member "recognizing plans by learning embeddings from observed action distributions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "agent embeddings a latent representation for pole balancing networks")
  Member "ai challenges in human robot cognitive teaming":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "designing interaction for multi agent cooperative system in an office environment")
  Member "plan explanations as model reconciliation moving beyond explanation as soliloquy":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the emerging landscape of explainable ai planning and decision making")
  Member "discovering underlying plans based on distributed representations of actions":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "deep graph representation learning")

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)