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 modification of the halpern pearl definition of causality"
  Abstract: The original Halpern-Pearl definition of causality [Halpern and Pearl, 2001] was updated in the journal version of the paper [Halpern and Pearl, 2005] to deal with some problems pointed out by Hopkins and Pearl [2003]. Here the definition is modified yet again, in a way that (a) leads to a simpler definition, (b) handles the problems pointed out by Hopkins and Pearl, and many others, (c) gives reasonable answers (that agree with those of the original and updated definition) in the standard problematic examples of causality, and (d) has lower complexity than either the original or updated definitions.

Connected through hyperedge HE-1 (induced by source paper "efficiently checking actual causality with sat solving"):
  with members:
    - "theoretical impediments to machine learning with seven sparks from the causal revolution"
    - "towards formal definitions of blameworthiness intention and moral responsibility"
    - "understanding and formalizing accountability for cyber physical systems"
    - "from causes for database queries to repairs and model based diagnosis and back"
    - "the computational complexity of structure based causality"
    - "the complexity of causality and responsibility for query answers and non answers"
    - "what causes a system to satisfy a specification"
    - "responsibility and blame a structural model approach"

Connected through hyperedge HE-2 (induced by source paper "causality control flow"):
  with members:
    - "sufficient and necessary causation are dual"
    - "program actions as actual causes a building block for accountability"
    - "graded causation and defaults"
    - "actual causation and the art of modeling"
    - "defaults and normality in causal structures"

Connected through hyperedge HE-3 (induced by source paper "towards a logical account of epistemic causality"):
  with members:
    - "reasoning about discrete and continuous noisy sensors and effectors in dynamical systems"
    - "counterfactual causality from first principles"
    - "axiomatizing causal reasoning"
    - "causes and explanations a structural model approach part ii explanations"
    - "reasoning about noisy sensors and effectors in the situation calculus"

Connected through hyperedge HE-4 (induced by source paper "extending causal models from machines into humans"):
  with members:
    - "understanding and formalizing accountability for cyber physical systems"
    - "dag based attack and defense modeling don t miss the forest for the attack trees"
    - "causes and explanations a structural model approach part ii explanations"

Connected through hyperedge HE-5 (induced by source paper "causality for general ltl definable properties"):
  with members:
    - "de composing causality in labeled transition systems"
    - "quantum quantitative safety analysis of uml models"

Connected through hyperedge HE-6 (induced by source paper "understanding and formalizing accountability for cyber physical systems"):
  with members:
    - "accbench a framework for comparing causality algorithms"
    - "accountability of ai under the law the role of explanation"

Connected through hyperedge HE-7 (induced by source paper "accbench a framework for comparing causality algorithms"):
  with members:
    - "towards a unified model of accountability infrastructures"
    - "distinguishing cause from effect using observational data methods and benchmarks"
    - "causes and explanations a structural model approach part ii explanations"

Connected through hyperedge HE-8 (induced by source paper "counterfactual causality from first principles"):
  with members:
    - "program actions as actual causes a building block for accountability"
    - "axiomatizing causal reasoning"
    - "actual causation and the art of modeling"

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)