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: "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.

Connected through hyperedge HE-1 (induced by source paper "value of information in probabilistic logic programs"):
  with members:
    - "an anytime algorithm for decision making under uncertainty"
    - "myopic value of information in influence diagrams"
    - "an approximate nonmyopic computation for value of information"
    - "near optimal nonmyopic value of information in graphical models"
    - "the pita system tabling and answer subsumption for reasoning under uncertainty"
    - "optimal value of information in graphical models"
    - "parameter learning of logic programs for symbolic statistical modeling"
    - "cost sensitive classification empirical evaluation of a hybrid genetic decision tree induction algorithm"

Connected through hyperedge HE-2 (induced by source paper "hybrid conditional planning using answer set programming"):
  with members:
    - "clingo asp control preliminary report"
    - "replanning in domains with partial information and sensing actions"
    - "planning graph heuristics for belief space search"

Connected through hyperedge HE-3 (induced by source paper "tractable epistemic reasoning with functional fluents static causal laws and postdiction"):
  with members:
    - "narrative based postdictive reasoning for cognitive robotics"
    - "h approximation history based approximation of possible world semantics as asp"

Connected through hyperedge HE-4 (induced by source paper "h approximation history based approximation of possible world semantics as asp"):
  with members:
    - "narrative based postdictive reasoning for cognitive robotics"
    - "reformulating the situation calculus and the event calculus in the general theory of stable models and in answer set programming"

Connected through hyperedge HE-5 (induced by source paper "multi valued action languages in clp fd"):
  with members:
    - "ordered landmarks in planning"
    - "claire combining sets search and rules to better express algorithms"

Connected through hyperedge HE-6 (induced by source paper "a state based regression formulation for domains with sensing actions and incomplete information"):
  with members:
    - "planning graph heuristics for belief space search"
    - "regression with respect to sensing actions and partial states"

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)