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: "the complexity of planning problems with simple causal graphs"
  Abstract: We present three new complexity results for classes of planning problems with simple causal graphs. First, we describe a polynomial-time algorithm that uses macros to generate plans for the class 3S of planning problems with binary state variables and acyclic causal graphs. This implies that plan generation may be tractable even when a planning problem has an exponentially long minimal solution. We also prove that the problem of plan existence for planning problems with multi-valued variables and chain causal graphs is NP-hard. Finally, we show that plan existence for planning problems with binary state variables and polytree causal graphs is NP-complete.

Connected through hyperedge HE-1 (induced by source paper "a complete parameterized complexity analysis of bounded planning"):
  with members:
    - "parameterized complexity results for plan reuse"
    - "the complexity of planning revisited a parameterized analysis"
    - "solving max r sat above a tight lower bound"
    - "the fast downward planning system"
    - "structure and complexity in planning with unary operators"

Connected through hyperedge HE-2 (induced by source paper "a refined view of causal graphs and component sizes sp closed graph classes and beyond"):
  with members:
    - "implicit abstraction heuristics"
    - "planning over chain causal graphs for variables with domains of size 5 is np hard"
    - "the fast downward planning system"
    - "structure and complexity in planning with unary operators"

Connected through hyperedge HE-3 (induced by source paper "algorithms and limits for compact plan representations"):
  with members:
    - "on the size of data structures used in symbolic model checking"
    - "random access to grammar compressed strings"
    - "complexity issues in finding succinct solutions of pspace complete problems"
    - "on the complexity of case based planning"
    - "ordered landmarks in planning"
    - "structure and complexity in planning with unary operators"
    - "on the compilability and expressive power of propositional planning formalisms"
    - "space efficiency of propositional knowledge representation formalisms"

Connected through hyperedge HE-4 (induced by source paper "the complexity of planning revisited a parameterized analysis"):
  with members:
    - "augmenting tractable fragments of abstract argumentation"
    - "where ignoring delete lists works local search topology in planning benchmarks"
    - "taming numbers and durations in the model checking integrated planning system"
    - "structure and complexity in planning with unary operators"

Connected through hyperedge HE-5 (induced by source paper "analyzing search topology without running any search on the connection between causal graphs and h"):
  with members:
    - "the lama planner guiding cost based anytime planning with landmarks"
    - "planning over chain causal graphs for variables with domains of size 5 is np hard"
    - "the fast downward planning system"
    - "where ignoring delete lists works local search topology in planning benchmarks"
    - "ordered landmarks in planning"
    - "structure and complexity in planning with unary operators"
    - "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-6 (induced by source paper "planning over chain causal graphs for variables with domains of size 5 is np hard"):
  with members:
    - "the fast downward planning system"
    - "structure and complexity in planning with unary operators"

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)