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: "capir collaborative action planning with intention recognition"
  Abstract: We apply decision theoretic techniques to construct non-player characters that are able to assist a human player in collaborative games. The method is based on solving Markov decision processes, which can be difficult when the game state is described by many variables. To scale to more complex games, the method allows decomposition of a game task into subtasks, each of which can be modelled by a Markov decision process. Intention recognition is used to infer the subtask that the human is currently performing, allowing the helper to assist the human in performing the correct task. Experiments show that the method can be effective, giving near-human level performance in helping a human in a collaborative game.

Connected through hyperedge HE-1 (induced by source paper "when humans aren t optimal robots that collaborate with risk aware humans"):
  with members:
    - "asking easy questions a user friendly approach to active reward learning"
    - "better than demonstrator imitation learning via automatically ranked demonstrations"
    - "enabling robots to infer how end users teach and learn through human robot interaction"
    - "ranking based reward extrapolation without rankings"
    - "controlling assistive robots with learned latent actions"
    - "learning reward functions by integrating human demonstrations and preferences"
    - "guided cost learning deep inverse optimal control via policy optimization"
    - "decision theory with resource bounded agents"

Connected through hyperedge HE-2 (induced by source paper "nested reasoning about autonomous agents using probabilistic programs"):
  with members:
    - "venture a higher order probabilistic programming platform with programmable inference"
    - "church a language for generative models"

Connected through hyperedge HE-3 (induced by source paper "human intention estimation based on hidden markov model motion validation for safe flexible robotized warehouses"):
  with members:
    - "human intention recognition in flexible robotized warehouses based on markov decision processes"
    - "baxter s homunculus virtual reality spaces for teleoperation in manufacturing"
    - "deep imitation learning for complex manipulation tasks from virtual reality teleoperation"
    - "virtual borders accurate definition of a mobile robot s workspace using a rgb d google tango tablet"
    - "past present and future of simultaneous localization and mapping toward the robust perception age"

Connected through hyperedge HE-4 (induced by source paper "autonomous agents modelling other agents a comprehensive survey and open problems"):
  with members:
    - "reasoning about hypothetical agent behaviours and their parameters"
    - "are you doing what i think you are doing criticising uncertain agent models"
    - "e hba using action policies for expert advice and agent typification"
    - "on convergence and optimality of best response learning with policy types in multiagent systems"
    - "an empirical study on the practical impact of prior beliefs over policy types"
    - "heuristic online goal recognition in continuous domains"
    - "a survey of learning in multiagent environments dealing with non stationarity"
    - "belief and truth in hypothesised behaviours"

Connected through hyperedge HE-5 (induced by source paper "modeling theory of mind for autonomous agents with probabilistic programs"):
  with members:
    - "venture a higher order probabilistic programming platform with programmable inference"
    - "church a language for generative models"

Connected through hyperedge HE-6 (induced by source paper "a survey of robot learning from demonstrations for human robot collaboration"):
  with members:
    - "learning hand eye coordination for robotic grasping with deep learning and large scale data collection"
    - "learning human activities and object affordances from rgb d videos"

Connected through hyperedge HE-7 (induced by source paper "game theoretic modeling of human adaptation in human robot collaboration"):
  with members:
    - "cooperative inverse reinforcement learning"
    - "efficient model learning from joint action demonstrations for human robot collaborative tasks"

Connected through hyperedge HE-8 (induced by source paper "efficient model learning from joint action demonstrations for human robot collaborative tasks"):
  with members:
    - "computational rationalization the inverse equilibrium problem"

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)