human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "efficiently checking actual causality with sat solving"):
  Abstract: Recent formal approaches towards causality have made the concept ready for incorporation into the technical world. However, causality reasoning is computationally hard; and no general algorithmic approach exists that efficiently infers the causes for effects. Thus, checking causality in the context of complex, multi-agent, and distributed socio-technical systems is a significant challenge. Therefore, we conceptualize an intelligent and novel algorithmic approach towards checking causality in acyclic causal models with binary variables, utilizing the optimization power in the solvers of the Boolean Satisfiability Problem (SAT). We present two SAT encodings, and an empirical evaluation of their efficiency and scalability. We show that causality is computed efficiently in less than 5 seconds for models that consist of more than 4000 variables.

Includes members:
  Member "theoretical impediments to machine learning with seven sparks from the causal revolution":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "causal interpretability for machine learning problems methods and evaluation")
  Member "towards formal definitions of blameworthiness intention and moral responsibility":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "deep tractable probabilistic models for moral responsibility")
  Member "understanding and formalizing accountability for cyber physical systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "extending causal models from machines into humans")
  Member "from causes for database queries to repairs and model based diagnosis and back":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "data management for causal algorithmic fairness")
  Member "a modification of the halpern pearl definition of causality":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "causality control flow")
  Member "the computational complexity of structure based causality":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "appropriate causal models and the stability of causation")
  Member "the complexity of causality and responsibility for query answers and non answers":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "causality based explanation of classification outcomes")
  Member "what causes a system to satisfy a specification":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "the challenges in specifying and explaining synthesized implementations of reactive systems")

Question: Please tell me which class the source paper 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)