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 general multi agent epistemic planner based on higher order belief change"
  Abstract: In recent years, multi-agent epistemic planning has received attention from both dynamic logic and planning communities. Existing implementations of multi-agent epistemic planning are based on compilation into classical planning and suffer from various limitations, such as generating only linear plans, restriction to public actions, and incapability to handle disjunctive beliefs. In this paper, we propose a general representation language for multi-agent epistemic planning where the initial KB and the goal, the preconditions and effects of actions can be arbitrary multi-agent epistemic formulas, and the solution is an action tree branching on sensing results. To support efficient reasoning in the multi-agent KD45 logic, we make use of a normal form called alternating cover disjunctive formulas (ACDFs). We propose basic revision and update algorithms for ACDFs. We also handle static propositional common knowledge, which we call constraints. Based on our reasoning, revision and update algorithms, adapting the PrAO algorithm for contingent planning from the literature, we implemented a multi-agent epistemic planner called MEPK. Our experimental results show the viability of our approach.

Connected through hyperedge HE-1 (induced by source paper "what you get is what you see decomposing epistemic planning using functional strips"):
  with members:
    - "a gentle introduction to epistemic planning the del approach"
    - "cooperative epistemic multi agent planning for implicit coordination"
    - "the arcade learning environment an evaluation platform for general agents"
    - "the lama planner guiding cost based anytime planning with landmarks"
    - "the fast downward planning system"

Connected through hyperedge HE-2 (induced by source paper "expectation aware planning a unifying framework for synthesizing and executing self explaining plans for human aware planning"):
  with members:
    - "explanation in artificial intelligence insights from the social sciences"
    - "plan explanations as model reconciliation moving beyond explanation as soliloquy"
    - "explicable robot planning as minimizing distance from expected behavior"
    - "plan explicability and predictability for robot task planning"

Connected through hyperedge HE-3 (induced by source paper "design of a solver for multi agent epistemic planning"):
  with members:
    - "timeline based planning expressiveness and complexity"
    - "cooperative epistemic multi agent planning for implicit coordination"
    - "the lama planner guiding cost based anytime planning with landmarks"
    - "decentralized control of cooperative systems categorization and complexity analysis"

Connected through hyperedge HE-4 (induced by source paper "dynamic term modal logics for epistemic planning"):
  with members:
    - "putting the agents back in the domain a two sorted term modal logic"
    - "call me by your name epistemic logic with assignments and non rigid names"
    - "a gentle introduction to epistemic planning the del approach"

Connected through hyperedge HE-5 (induced by source paper "planning with explanatory actions a joint approach to plan explicability and explanations in human aware planning"):
  with members:
    - "expressing robot incapability"
    - "plan explanations as model reconciliation moving beyond explanation as soliloquy"

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)