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: "ai challenges in human robot cognitive teaming"
  Abstract: Among the many anticipated roles for robots in future is that of being a human teammate. Aside from all the technological hurdles that have to be overcome on the hardware and control sides to make robots fit for work with humans, the added complication here is that humans have many conscious and subconscious expectations of their teammates -- indeed, teaming is mostly a cognitive rather than physical coordination activity. This focus on cognitive coordination, however, introduces new challenges for the robotics community that require fundamental changes to the traditional view of autonomous agents. #R##N#In this paper, we provide an analysis of the differences between traditional autonomous robots and robots that team with humans, identifying the necessary teaming capabilities that are largely missing from current robotic systems. We then focus on the important challenges that are unique and of particular importance to human-robot teaming, especially from the point of view of the deliberative process of the autonomous agent, and sketch potential ways to address them.

Connected through hyperedge HE-1 (induced by source paper "designing interaction for multi agent cooperative system in an office environment"):
  with members:
    - "the strands project long term autonomy in everyday environments"
    - "robobrain large scale knowledge engine for robots"

Connected through hyperedge HE-2 (induced by source paper "challenges of human aware ai systems"):
  with members:
    - "planning with explanatory actions a joint approach to plan explicability and explanations in human aware planning"
    - "explicability legibility predictability transparency privacy security the emerging landscape of interpretable agent behavior"
    - "plan explanations as model reconciliation an empirical study"
    - "a unified framework for planning in adversarial and cooperative environments"
    - "recognizing plans by learning embeddings from observed action distributions"
    - "plan explanations as model reconciliation moving beyond explanation as soliloquy"
    - "discovering underlying plans based on distributed representations of actions"
    - "plan explicability and predictability for robot task planning"

Connected through hyperedge HE-3 (induced by source paper "online explanation generation for human robot teaming"):
  with members:
    - "progressive explanation generation for human robot teaming"
    - "where do you think you re going inferring beliefs about dynamics from behavior"
    - "explanation in artificial intelligence insights from the social sciences"
    - "plan explanations as model reconciliation moving beyond explanation as soliloquy"
    - "explicablility as minimizing distance from expected behavior"
    - "plan explicability and predictability for robot task planning"
    - "pddl2 1 an extension to pddl for expressing temporal planning domains"

Connected through hyperedge HE-4 (induced by source paper "progressive explanation generation for human robot teaming"):
  with members:
    - "hierarchical expertise level modeling for user specific robot behavior explanations"
    - "explanation in artificial intelligence insights from the social sciences"
    - "plan explanations as model reconciliation moving beyond explanation as soliloquy"
    - "plan explicability and predictability for robot task planning"
    - "the fast downward planning system"
    - "pddl2 1 an extension to pddl for expressing temporal planning domains"

Connected through hyperedge HE-5 (induced by source paper "interactive plan explicability in human robot teaming"):
  with members:
    - "plan explanations as model reconciliation moving beyond explanation as soliloquy"
    - "plan explicability and predictability for robot task planning"
    - "sapa a multi objective metric temporal planner"

Connected through hyperedge HE-6 (induced by source paper "what can ai do for me evaluating machine learning interpretations in cooperative play"):
  with members:
    - "on human predictions with explanations and predictions of machine learning models a case study on deception detection"
    - "deep k nearest neighbors towards confident interpretable and robust deep learning"
    - "how do humans understand explanations from machine learning systems an evaluation of the human interpretability of explanation"
    - "sanity checks for saliency maps"
    - "evaluating feature importance estimates"
    - "trick me if you can adversarial writing of trivia challenge questions"
    - "beyond word importance contextual decomposition to extract interactions from lstms"
    - "on calibration of modern neural networks"

Connected through hyperedge HE-7 (induced by source paper "on the manipulation of articulated objects in human robot cooperation scenarios"):
  with members:
    - "goal inference improves objective and perceived performance in human robot collaboration"
    - "combining self supervised learning and imitation for vision based rope manipulation"
    - "flexible human robot cooperation models for assisted shop floor tasks"
    - "a description logic primer"
    - "modelling mixed discrete continuous domains for planning"
    - "pddl2 1 an extension to pddl for expressing temporal planning domains"
    - "the symbol grounding problem"

Connected through hyperedge HE-8 (induced by source paper "explicability legibility predictability transparency privacy security the emerging landscape of interpretable agent behavior"):
  with members:
    - "planning with explanatory actions a joint approach to plan explicability and explanations in human aware planning"
    - "expressing robot incapability"
    - "towards providing explanations for ai planner decisions"
    - "generating plans that predict themselves"
    - "algorithms for the greater good on mental modeling and acceptable symbiosis in human ai collaboration"
    - "robot planning with mathematical models of human state and action"

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)