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 "autonomous agents modelling other agents a comprehensive survey and open problems"):
  Abstract: Abstract   Much research in artificial intelligence is concerned with the development of autonomous agents that can interact effectively with other agents. An important aspect of such agents is the ability to reason about the behaviours of other agents, by constructing  models  which make predictions about various properties of interest (such as actions, goals, beliefs) of the modelled agents. A variety of modelling approaches now exist which vary widely in their methodology and underlying assumptions, catering to the needs of the different sub-communities within which they were developed and reflecting the different practical uses for which they are intended. The purpose of the present article is to provide a comprehensive survey of the salient modelling methods which can be found in the literature. The article concludes with a discussion of open problems which may form the basis for fruitful future research.

Includes members:
  Member "reasoning about hypothetical agent behaviours and their parameters":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "exploiting causality for selective belief filtering in dynamic bayesian networks extended abstract")
  Member "are you doing what i think you are doing criticising uncertain agent models":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "discovering underlying plans based on shallow models")
  Member "e hba using action policies for expert advice and agent typification":
    also connected through other hyperedges:
      (none)
  Member "on convergence and optimality of best response learning with policy types in multiagent systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "reasoning about hypothetical agent behaviours and their parameters")
  Member "an empirical study on the practical impact of prior beliefs over policy types":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "are you doing what i think you are doing criticising uncertain agent models")
  Member "heuristic online goal recognition in continuous domains":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a transfer learning method for goal recognition exploiting cross domain spatial features")
  Member "a survey of learning in multiagent environments dealing with non stationarity":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "algorithms in multi agent systems a holistic perspective from reinforcement learning and game theory")
  Member "belief and truth in hypothesised behaviours":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "integrating planning and interpretable goal recognition for autonomous driving")

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)