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: "a critical assessment of benchmark comparison in planning"
  Abstract: Recent trends in planning research have led to empirical comparison becoming commonplace. The field has started to settle into a methodology for such comparisons, which for obvious practical reasons requires running a subset of planners on a subset of problems. In this paper, we characterize the methodology and examine eight implicit assumptions about the problems, planners and metrics used in many of these comparisons. The problem assumptions are: PR1) the performance of a general purpose planner should not be penalized/biased if executed on a sampling of problems and domains, PR2) minor syntactic differences in representation do not affect performance, and PR3) problems should be solvable by STRIPS capable planners unless they require ADL. The planner assumptions are: PL1) the latest version of a planner is the best one to use, PL2) default parameter settings approximate good performance, and PL3) time cut-offs do not unduly bias outcome. The metrics assumptions are: M1) performance degrades similarly for each planner when run on degraded runtime environments (e.g., machine platform) and M2) the number of plan steps distinguishes performance. We find that most of these assumptions are not supported empirically; in particular, that planners are affected differently by these assumptions. We conclude with a call to the community to devote research resources to improving the state of the practice and especially to enhancing the available benchmark problems.

Connected through hyperedge HE-1 (induced by source paper "pitfalls and best practices in algorithm configuration"):
  with members:
    - "deep reinforcement learning that matters"
    - "the configurable sat solver challenge cssc"
    - "algorithm selection for combinatorial search problems a survey"
    - "auto weka combined selection and hyperparameter optimization of classification algorithms"
    - "a tutorial on bayesian optimization of expensive cost functions with application to active user modeling and hierarchical reinforcement learning"
    - "satzilla portfolio based algorithm selection for sat"

Connected through hyperedge HE-2 (induced by source paper "structure and problem hardness goal asymmetry and dpll proofs in sat based planning"):
  with members:
    - "engineering benchmarks for planning the domains used in the deterministic part of ipc 4"
    - "where ignoring delete lists works local search topology in planning benchmarks"
    - "the deterministic part of ipc 4 an overview"
    - "beyond hypertree width decomposition methods without decompositions"
    - "ordered landmarks in planning"
    - "towards understanding and harnessing the potential of clause learning"
    - "the 3rd international planning competition results and analysis"
    - "planning through stochastic local search and temporal action graphs in lpg"

Connected through hyperedge HE-3 (induced by source paper "engineering benchmarks for planning the domains used in the deterministic part of ipc 4"):
  with members:
    - "supply restoration in power distribution systems a case study in integrating model based diagnosis and repair planning"
    - "the fast downward planning system"
    - "an approach to temporal planning and scheduling in domains with predictable exogenous events"
    - "where ignoring delete lists works local search topology in planning benchmarks"
    - "the deterministic part of ipc 4 an overview"
    - "taming numbers and durations in the model checking integrated planning system"
    - "pddl2 1 an extension to pddl for expressing temporal planning domains"
    - "the metric ff planning system translating ignoring delete lists to numeric state variables"

Connected through hyperedge HE-4 (induced by source paper "the 3rd international planning competition results and analysis"):
  with members:
    - "sapa a multi objective metric temporal planner"
    - "taming numbers and durations in the model checking integrated planning system"
    - "pddl2 1 an extension to pddl for expressing temporal planning domains"
    - "vhpop versatile heuristic partial order planner"
    - "the metric ff planning system translating ignoring delete lists to numeric state variables"
    - "planning through stochastic local search and temporal action graphs in lpg"
    - "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)