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 "the rise and fall of semantic rule updates based on se models"):
  Abstract: Logic programs under the stable model semantics, or answer-set programs, provide an expressive rule-based knowledge representation framework, featuring a formal, declarative and well-understood semantics. However, handling the evolution of rule bases is still a largely open problem. The Alchourr ´ on, Gand Makinson (AGM) framework for belief change was shown to give inappropriate results when directly applied to logic programs under a non-monotonic semantics such as the stable models. The approaches to address this issue, developed so far, proposed update semantics based on manipulating the syntactic structure of programs and rules. More recently, AGM revision has been successfully applied to a significantly more expressive semantic characterisation of logic programs based on SE-models. This is an important step, as it changes the focus from the evolution of a syntactic representation of a rule base to the evolution of its semantic content. In this paper, we borrow results from the area of belief update to tackle the problem of updating (instead of revising) answer-set programs. We prove a representation theorem which makes it possible to constructively define any operator satisfying a set of postulates derived from Katsuno and Mendelzon's postulates for belief update. We define a specific operator based on this theorem, examine its computational complexity and compare the behaviour of this operator with syntactic rule update semantics from the literature. Perhaps surprisingly, we uncover a serious drawback of all rule update operators based on Katsuno and Mendelzon's approach to update and on SE-models.

Includes members:
  Member "splitting and updating hybrid knowledge bases":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "exception based knowledge updates")
  Member "a program level approach to revising logic programs under the answer set semantics":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "syntax preserving belief change operators for logic programs")
  Member "propositional theories are strongly equivalent to logic programs":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "implementing dynamic answer set programming")
  Member "updates in answer set programming an approach based on basic structural properties":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "syntax preserving belief change operators for logic programs")
  Member "an abductive framework for computing knowledge base updates":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "exception based knowledge updates")
  Member "strong equivalence made easy nested expressions and weight constraints":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on uniform equivalence of epistemic logic programs")
  Member "on properties of update sequences based on causal rejection":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "belief base revision for further improvement of unified 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)