human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "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.

Connected through hyperedge HE-1 (induced by source paper "syntax preserving belief change operators for logic programs"):
  with members:
    - "characterization of logic program revision as an extension of propositional revision"
    - "a program level approach to revising logic programs under the answer set semantics"
    - "updates in answer set programming an approach based on basic structural properties"
    - "strong equivalence made easy nested expressions and weight constraints"
    - "a semantic framework for preference handling in answer set programming"
    - "a framework for compiling preferences in logic programs"
    - "on properties of update sequences based on causal rejection"

Connected through hyperedge HE-2 (induced by source paper "exception based knowledge updates"):
  with members:
    - "on the evolution of the instance level of dl lite knowledge bases"
    - "splitting and updating hybrid knowledge bases"
    - "updates in answer set programming an approach based on basic structural properties"
    - "an abductive framework for computing knowledge base updates"
    - "strong equivalence made easy nested expressions and weight constraints"
    - "on properties of update sequences based on causal rejection"

Connected through hyperedge HE-3 (induced by source paper "when you must forget beyond strong persistence when forgetting in answer set programming"):
  with members:
    - "the logical difference for the lightweight description logic el"
    - "a system of interaction and structure"
    - "on the practical use of variable elimination in constraint optimization problems still life as a case study"
    - "semantical characterizations and complexity of equivalences in answer set programming"
    - "an abductive framework for computing knowledge base updates"
    - "propositional independence formula variable independence and forgetting"

Connected through hyperedge HE-4 (induced by source paper "characterization of logic program revision as an extension of propositional revision"):
  with members:
    - "linear logic based analysis of constraint handling rules with disjunction"
    - "propositional theories are strongly equivalent to logic programs"
    - "an abductive framework for computing knowledge base updates"
    - "strong equivalence made easy nested expressions and weight constraints"
    - "on properties of update sequences based on causal rejection"

Connected through hyperedge HE-5 (induced by source paper "a denotational semantics for equilibrium logic"):
  with members:
    - "a general framework for equivalences in answer set programming by countermodels in the logic of here and there"
    - "propositional theories are strongly equivalent to logic programs"
    - "a common view on strong uniform and other notions of equivalence in answer set programming"
    - "stable models and an alternative logic programming paradigm"

Connected through hyperedge HE-6 (induced by source paper "on minimal change in evolving multi context systems preliminary report"):
  with members:
    - "multi context systems for reactive reasoning in dynamic environments"
    - "towards efficient evolving multi context systems preliminary report"

Connected through hyperedge HE-7 (induced by source paper "towards efficient evolving multi context systems preliminary report"):
  with members:
    - "multi context systems for reactive reasoning in dynamic environments"
    - "splitting and updating hybrid knowledge bases"

Question: Please tell me which class the center node 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)