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 "landmark based approaches for goal recognition as planning"):
  Abstract: The task of recognizing goals and plans from missing and full observations can be done efficiently by using automated planning techniques. In many applications, it is important to recognize goals and plans not only accurately, but also quickly. To address this challenge, we develop novel goal recognition approaches based on planning techniques that rely on planning landmarks. In automated planning, landmarks are properties (or actions) that cannot be avoided to achieve a goal. We show the applicability of a number of planning techniques with an emphasis on landmarks for goal and plan recognition tasks in two settings: (1) we use the concept of landmarks to develop goal recognition heuristics; and (2) we develop a landmark-based filtering method to refine existing planning-based goal and plan recognition approaches. These recognition approaches are empirically evaluated in experiments over several classical planning domains. We show that our goal recognition approaches yield not only accuracy comparable to (and often higher than) other state-of-the-art techniques, but also substantially faster recognition time over such techniques.

Includes members:
  Member "autonomous agents modelling other agents a comprehensive survey and open problems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the hanabi challenge a new frontier for ai research")
  Member "a unified framework for planning in adversarial and cooperative environments":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "signaling friends and head faking enemies simultaneously balancing goal obfuscation and goal legibility")
  Member "heuristic online goal recognition in continuous domains":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a transfer learning method for goal recognition exploiting cross domain spatial features")
  Member "session analysis using plan recognition":
    also connected through other hyperedges:
      (none)
  Member "landmark based plan recognition":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "using sub optimal plan detection to identify commitment abandonment in discrete environments")
  Member "accounting for context in plan recognition with application to traffic monitoring":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "probabilistic state dependent grammars for plan recognition")
  Member "the lama planner guiding cost based anytime planning with landmarks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "learning domain independent planning heuristics with hypergraph networks")
  Member "the fast downward planning system":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "transferable task execution from pixels through deep planning domain 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)