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 "augmenting ordered binary decision diagrams with conjunctive decomposition"):
  Abstract: This paper augments OBDD with conjunctive decomposition to propose a generalization called OBDD[^]. By imposing reducedness and the finest^-decomposition bounded by integer i (^b -decomposition) on OBDD[^], we identify a family of canonical languages called ROBDD[^bi ], where ROBDD[^b ] is equivalent to ROBDD. We show that the succinctness of ROBDD[^bi ] is strictly increasing when i increases. We introduce a new time-efficiency criterion called rapidity which reflects that exponential operations may be preferable if the language can be exponentially more succinct, and show that the rapidity of each operation on ROBDD[^bi ] is increasing when i increases; particularly, the rapidity of some operations (e.g., conjoining) is strictly increasing. Finally, our empirical results show that: a) the size of ROBDD[^bi ] is normally not larger than that of its equivalent ROBDD[^[+1 ]; b) conjoining two ROBDD[^b ]s is more efficient than conjoining two ROBDD[^b]s in most cases, where the former is NP-hard but the latter is in P; and c) the space-efficiency of ROBDD[^c 1] is comparable with that of d-DNNF and that of another canonical generalization of ROBDD called SDD.

Includes members:
  Member "reduced ordered binary decision diagram with implied literals a new knowledge compilation approach":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "approximate model counting by partial knowledge compilation")
  Member "and or multi valued decision diagrams aomdds for graphical models":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "compiling stochastic constraint programs to and or decision diagrams")
  Member "a knowledge compilation map":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "abstracting probabilistic models a logical perspective")

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)