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 "reasoning and planning with sensing actions incomplete information and static causal laws using answer set programming"):
  Abstract: We extend the 0-approximation of sensing actions and incomplete information in [Son and Baral 2000] to action theories with static causal laws and prove its soundness with respect to the possible world semantics. We also show that the conditional planning problem with respect to this approximation is NP-complete. We then present an answer set programming based conditional planner, called ASCP, that is capable of generating both conformant plans and conditional plans in the presence of sensing actions, incomplete information about the initial state, and static causal laws. We prove the correctness of our implementation and argue that our planner is sound and complete with respect to the proposed approximation. Finally, we present experimental results comparing ASCP to other planners.

Includes members:
  Member "planning graph heuristics for belief space search":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "dynamic epistemic logic with asp updates application to conditional planning")
  Member "a logic programming approach to knowledge state planning ii the dlv k system":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "exploiting partial knowledge in declarative domain specific heuristics for asp")
  Member "domain dependent knowledge in answer set planning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "implementing dynamic answer set programming")
  Member "the ff planning system fast plan generation through heuristic search":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "what should i do now marrying reinforcement learning and symbolic planning")
  Member "conformant planning via symbolic model checking":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a dynamic epistemic framework for conformant planning")
  Member "constructing conditional plans by a theorem prover":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "dynamic epistemic logic with asp updates application to conditional planning")
  Member "stable models and an alternative logic programming paradigm":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the seventh answer set programming competition design and results")

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)