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 3rd international planning competition results and analysis"
  Abstract: This paper reports the outcome of the third in the series of biennial international planning competitions, held in association with the International Conference on AI Planning and Scheduling (AIPS) in 2002. In addition to describing the domains, the planners and the objectives of the competition, the paper includes analysis of the results. The results are analysed from several perspectives, in order to address the questions of comparative performance between planners, comparative difficulty of domains, the degree of agreement between planners about the relative difficulty of individual problem instances and the question of how well planners scale relative to one another over increasingly difficult problems. The paper addresses these questions through statistical analysis of the raw results of the competition, in order to determine which results can be considered to be adequately supported by the data. The paper concludes with a discussion of some challenges for the future of the competition series.

Connected through hyperedge HE-1 (induced by source paper "learning domain independent planning heuristics with hypergraph networks"):
  with members:
    - "asnets deep learning for generalised planning"
    - "size independent neural transfer for rddl planning"
    - "relational inductive biases deep learning and graph networks"
    - "relational inductive bias for physical construction in humans and machines"
    - "learning generalized reactive policies using deep neural networks"
    - "action schema networks generalised policies with deep learning"
    - "towards learning domain independent planning heuristics"
    - "neural message passing for quantum chemistry"

Connected through hyperedge HE-2 (induced by source paper "game description logic with integers a gdl numerical extension"):
  with members:
    - "pddl2 1 an extension to pddl for expressing temporal planning domains"

Connected through hyperedge HE-3 (induced by source paper "stripstream integrating symbolic planners and blackbox samplers"):
  with members:
    - "sampling based methods for factored task and motion planning"
    - "modelling mixed discrete continuous domains for planning"
    - "the fast downward 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 "mining useful macro actions in planning"):
  with members:
    - "marvin a heuristic search planner with online macro action learning"
    - "macro ff improving ai planning with automatically learned macro operators"
    - "the ff planning system fast plan generation through heuristic search"

Connected through hyperedge HE-5 (induced by source paper "fmap distributed cooperative multi agent planning"):
  with members:
    - "an approach to multi agent planning with incomplete information"
    - "a flexible coupling approach to multi agent planning under incomplete information"
    - "planning under continuous time and resource uncertainty a challenge for ai"
    - "the lama planner guiding cost based anytime planning with landmarks"
    - "the ff planning system fast plan generation through heuristic search"
    - "partial order planning with concurrent interacting actions"

Connected through hyperedge HE-6 (induced by source paper "a hybrid lp rpg heuristic for modelling numeric resource flows in planning"):
  with members:
    - "colin planning with continuous linear numeric change"
    - "the lama planner guiding cost based anytime planning with landmarks"
    - "loosely coupled formulations for automated planning an integer programming perspective"
    - "an approach to temporal planning and scheduling in domains with predictable exogenous events"
    - "the deterministic part of ipc 4 an overview"
    - "ordered landmarks in planning"
    - "sapa a multi objective metric temporal planner"
    - "taming numbers and durations in the model checking integrated planning system"

Connected through hyperedge HE-7 (induced by source paper "ai evaluation past present and future"):
  with members:
    - "definition and properties to assess multi agent environments as social intelligence tests"
    - "the arcade learning environment an evaluation platform for general agents"
    - "no free lunch versus occam s razor in supervised learning"
    - "an approximation of the universal intelligence measure"
    - "universal algorithmic intelligence a mathematical top down approach"
    - "tests of machine intelligence"
    - "universal intelligence a definition of machine intelligence"
    - "graphics turing test"

Connected through hyperedge HE-8 (induced by source paper "an overview of hierarchical task network planning"):
  with members:
    - "constraining influence diagram structure by generative planning an application to the optimization of oil spill response"
    - "task interaction in an htn planner"
    - "on planning with preferences in htn"
    - "pddl2 1 an extension to pddl for expressing temporal planning domains"

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)