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: "flaw selection strategies for partial order planning"
  Abstract: Several recent studies have compared the relative efficiency of alternative flaw selection strategies for partial-order causal link (POCL) planning. We review this literature, and present new experimental results that generalize the earlier work and explain some of the discrepancies in it. In particular, we describe the Least-Cost Flaw Repair (LCFR) strategy developed and analyzed by Joslin and Pollack (1994), and compare it with other strategies, including Gerevini and Schubert's (1996) ZLIFO strategy. LCFR and ZLIFO make very different, and apparently conflicting claims about the most effective way to reduce search-space size in POCL planning. We resolve this conflict, arguing that much of the benefit that Gerevini and Schubert ascribe to the LIFO component of their ZLIFO strategy is better attributed to other causes. We show that for many problems, a strategy that combines least-cost flaw selection with the delay of separable threats will be effective in reducing search-space size, and will do so without excessive computational overhead. Although such a strategy thus provides a good default, we also show that certain domain characteristics may reduce its effectiveness.

Connected through hyperedge HE-1 (induced by source paper "engineering a conformant probabilistic planner"):
  with members:
    - "decision theoretic planning with non markovian rewards"
    - "approximate policy iteration with a policy language bias solving relational markov decision processes"
    - "mgpt a probabilistic planner based on heuristic search"
    - "vhpop versatile heuristic partial order planner"
    - "the ff planning system fast plan generation through heuristic search"
    - "on reasonable and forced goal orderings and their use in an agenda driven planning algorithm"
    - "decision theoretic planning structural assumptions and computational leverage"

Connected through hyperedge HE-2 (induced by source paper "planning through stochastic local search and temporal action graphs in lpg"):
  with members:
    - "pddl2 1 an extension to pddl for expressing temporal planning domains"
    - "the metric ff planning system translating ignoring delete lists to numeric state variables"
    - "the 3rd international planning competition results and analysis"
    - "the ff planning system fast plan generation through heuristic search"
    - "efficient implementation of the plan graph in stan"
    - "the automatic inference of state invariants in tim"
    - "accelerating partial order planners some techniques for effective search control and pruning"

Connected through hyperedge HE-3 (induced by source paper "vhpop versatile heuristic partial order planner"):
  with members:
    - "the ff planning system fast plan generation through heuristic search"
    - "the grt planning system backward heuristic construction in forward state space planning"
    - "accelerating partial order planners some techniques for effective search control and pruning"

Connected through hyperedge HE-4 (induced by source paper "a critical assessment of benchmark comparison in planning"):
  with members:
    - "pddl2 1 an extension to pddl for expressing temporal planning domains"
    - "the ff planning system fast plan generation through heuristic search"
    - "efficient implementation of the plan graph in stan"
    - "accelerating partial order planners some techniques for effective search control and pruning"

Connected through hyperedge HE-5 (induced by source paper "on reasonable and forced goal orderings and their use in an agenda driven planning algorithm"):
  with members:
    - "efficient implementation of the plan graph in stan"
    - "the automatic inference of state invariants in tim"

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)