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 "rewriting recursive aggregates in answer set programming back to monotonicity"):
  Abstract: Aggregation functions are widely used in answer set programming for representing and reasoning on knowledge involving sets of objects collectively. Current implementations simplify the structure of programs in order to optimize the overall performance. In particular, aggregates are rewritten into simpler forms known as monotone aggregates. Since the evaluation of normal programs with monotone aggregates is in general on a lower complexity level than the evaluation of normal programs with arbitrary aggregates, any faithful translation function must introduce disjunction in rule heads in some cases. However, no function of this kind is known. The paper closes this gap by introducing a polynomial, faithful, and modular translation for rewriting common aggregation functions into the simpler form accepted by current solvers. A prototype system allows for experimenting with arbitrary recursive aggregates, which are  also supported in the recent version 4.5  of the grounder gringo, using the methods presented in this paper.

Includes members:
  Member "anytime computation of cautious consequences in answer set programming":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "abstract solvers for computing cautious consequences of asp programs")
  Member "vicious circle principle and logic programs with aggregates":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "an asp semantics for constraints involving conditional aggregates")
  Member "conflict driven asp solving with external sources":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "inlining external sources in answer set programs")
  Member "unfounded sets and well founded semantics of answer set programs with aggregates":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "asp core 2 input language format")
  Member "relating weight constraint and aggregate programs semantics and representation":
    also connected through other hyperedges:
      (none)
  Member "logic programs with propositional connectives and aggregates":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "an asp semantics for constraints involving conditional aggregates")
  Member "design and implementation of aggregate functions in the dlv system":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "shared aggregate sets in answer set programming")
  Member "properties and applications of programs with monotone and convex constraints":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "complexity and compilation of gz aggregates in answer set programming")

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)