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: "causes and explanations in the structural model approach tractable cases"
  Abstract: In this paper, we continue our research on the algorithmic aspects of Halpern and Pearl's causes and explanations in the structural-model approach. To this end, we present new characterizations of weak causes for certain classes of causal models, which show that under suitable restrictions deciding causes and explanations is tractable. To our knowledge, these are the first explicit tractability results for the structural-model approach.

Connected through hyperedge HE-1 (induced by source paper "explanation in human ai systems a literature meta review synopsis of key ideas and publications and bibliography for explainable ai"):
  with members:
    - "grad cam visual explanations from deep networks via gradient based localization"
    - "ted teaching ai to explain its decisions"
    - "explaining explanations an overview of interpretability of machine learning"
    - "deep learning a critical appraisal"
    - "how do humans understand explanations from machine learning systems an evaluation of the human interpretability of explanation"
    - "explainable artificial intelligence xai the goodness criteria and the grasp ability test"
    - "interpretable explorable approximations of black box models"
    - "explaining the unexplained a class enhanced attentive response clear approach to understanding deep neural networks"

Connected through hyperedge HE-2 (induced by source paper "explanation in artificial intelligence insights from the social sciences"):
  with members:
    - "the challenge of crafting intelligible intelligence"
    - "plan explanations as model reconciliation moving beyond explanation as soliloquy"
    - "the mythos of model interpretability"
    - "why should i trust you explaining the predictions of any classifier"
    - "axiomatizing causal reasoning"
    - "responsibility and blame a structural model approach"
    - "causes and explanations a structural model approach part ii explanations"

Connected through hyperedge HE-3 (induced by source paper "debugging of markov decision processes mdps models"):
  with members:
    - "high level counterexamples for probabilistic automata"
    - "responsibility and blame a structural model approach"

Connected through hyperedge HE-4 (induced by source paper "a characterization of the complexity of resilience and responsibility for self join free conjunctive queries"):
  with members:
    - "perfxplain debugging mapreduce job performance"
    - "explanation based auditing"
    - "the complexity of causality and responsibility for query answers and non answers"
    - "responsibility and blame a structural model approach"

Connected through hyperedge HE-5 (induced by source paper "structure based causes and explanations in the independent choice logic"):
  with members:
    - "axiomatizing causal reasoning"
    - "defining explanation in probabilistic systems"
    - "causes and explanations a structural model approach part ii explanations"
    - "reasoning about noisy sensors and effectors in the situation calculus"

Connected through hyperedge HE-6 (induced by source paper "the complexity of causality and responsibility for query answers and non answers"):
  with members:
    - "why so or why no functional causality for explaining query answers"
    - "what causes a system to satisfy a specification"
    - "responsibility and blame a structural model approach"

Connected through hyperedge HE-7 (induced by source paper "causality and the semantics of provenance"):
  with members:
    - "provenance as dependency analysis"
    - "causes and explanations a structural model approach part ii explanations"

Connected through hyperedge HE-8 (induced by source paper "responsibility and blame a structural model approach"):
  with members:
    - "what causes a system to satisfy a specification"
    - "causes and explanations a structural model approach part ii explanations"

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)