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: "planning graph heuristics for belief space search"
  Abstract: Some recent works in conditional planning have proposed reachability heuristics to improve planner scalability, but many lack a formal description of the properties of their distance estimates. To place previous work in context and extend work on heuristics for conditional planning, we provide a formal basis for distance estimates between belief states. We give a definition for the distance between belief states that relies on aggregating underlying state distance measures. We give several techniques to aggregate state distances and their associated properties. Many existing heuristics exhibit a subset of the properties, but in order to provide a standardized comparison we present several generalizations of planning graph heuristics that are used in a single planner. We compliment our belief state distance estimate framework by also investigating efficient planning graph data structures that incorporate BDDs to compute the most effective heuristics.#R##N##R##N#We developed two planners to serve as test-beds for our investigation. The first, CAltAlt, is a conformant regression planner that uses A* search. The second, POND, is a conditional progression planner that uses AO* search. We show the relative effectiveness of our heuristic techniques within these planners. We also compare the performance of these planners with several state of the art approaches in conditional planning.

Connected through hyperedge HE-1 (induced by source paper "dynamic epistemic logic with asp updates application to conditional planning"):
  with members:
    - "temporal answer set programming on finite traces"
    - "a survey of advances in epistemic logic program solvers"
    - "a gentle introduction to epistemic planning the del approach"
    - "simple epistemic planning generalised gossiping"
    - "a logic programming approach to knowledge state planning ii the dlv k system"
    - "constructing conditional plans by a theorem prover"
    - "stable models and an alternative logic programming paradigm"

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"
    - "reasoning and planning with sensing actions incomplete information and static causal laws using answer set programming"

Connected through hyperedge HE-3 (induced by source paper "a dynamic epistemic framework for conformant planning"):
  with members:
    - "compiling uncertainty away in conformant planning problems with bounded width"
    - "conformant planning via symbolic model checking"

Connected through hyperedge HE-4 (induced by source paper "sap speaks pddl exploiting a software engineering model for planning in business process management"):
  with members:
    - "compiling uncertainty away in conformant planning problems with bounded width"
    - "the fast downward planning system"
    - "the deterministic part of ipc 4 an overview"
    - "pddl2 1 an extension to pddl for expressing temporal planning domains"
    - "the ff planning system fast plan generation through heuristic search"

Connected through hyperedge HE-5 (induced by source paper "replanning in domains with partial information and sensing actions"):
  with members:
    - "heuristic search value iteration for pomdps"
    - "compiling uncertainty away in conformant planning problems with bounded width"
    - "learning to coordinate efficiently a model based approach"
    - "the ff planning system fast plan generation through heuristic search"
    - "conformant planning via symbolic model checking"

Connected through hyperedge HE-6 (induced by source paper "phase transitions of plan modification in conformant planning"):
  with members:
    - "message based web service composition integrity constraints and planning under uncertainty a new connection"

Connected through hyperedge HE-7 (induced by source paper "message based web service composition integrity constraints and planning under uncertainty a new connection"):
  with members:
    - "the fast downward planning system"
    - "where ignoring delete lists works local search topology in planning benchmarks"
    - "pddl2 1 an extension to pddl for expressing temporal planning domains"
    - "a logic programming approach to knowledge state planning ii the dlv k system"
    - "the 3rd international planning competition results and analysis"
    - "planning through stochastic local search and temporal action graphs in lpg"
    - "the ff planning system fast plan generation through heuristic search"

Connected through hyperedge HE-8 (induced by source paper "compiling uncertainty away in conformant planning problems with bounded width"):
  with members:
    - "the ff planning system fast plan generation through heuristic search"

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)