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 "modeling variations of first order horn abduction in answer set programming using on demand constraints and flexible value invention"):
  Abstract: We study abduction in First Order Horn logic theories where all atoms can be abduced and we are looking for prefered solutions with respect to objective functions cardinality minimality, Coherence, or Weighted Abduction. We represent this reasoning problem in Answer Set Programming (ASP), in order to obtain a flexible framework for experimenting with global constraints and objective functions, and to test the boundaries of what is possible with ASP, because realizing this problem in ASP is challenging as it requires value invention and equivalence between certain constants as the Unique Names Assumption does not hold in general. For permitting reasoning in cyclic theories, we formally describe fine-grained variations of limiting Skolemization. We evaluate our encodings and extensions experimentally on the ACCEL benchmark for plan recognition in Natural Language Understanding. Our encodings are publicly available, modular, and our approach is more efficient than state-of-the-art solvers on the ACCEL benchmark. We identify term equivalence as a main instantiation bottleneck, and experiment with on-demand constraints that were used to eliminate the same bottleneck in state-of-the-art solvers and make them applicable for larger datasets. Surprisingly, experiments show that this method is beneficial only for cardinality minimality with our ASP encodings.

Includes members:
  Member "a model building framework for answer set programming with external computations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a logic based framework leveraging neural networks for studying the evolution of neurological disorders")
  Member "modeling variations of first order horn abduction in answer set programming":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the external interface for extending wasp")
  Member "asperix a first order forward chaining approach for answer set computing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the seventh answer set programming competition design and results")
  Member "lazy model expansion interleaving grounding with search":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "extensions to justification theory")
  Member "clingo asp control preliminary report":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the external interface for extending wasp")
  Member "the ciff proof procedure for abductive logic programming with constraints theory implementation and experiments":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "programming in logic without logic 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)