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: "on properties of update sequences based on causal rejection"
  Abstract: We consider an approach to update nonmonotonic knowledge bases represented as extended logic programs under answer set semantics. New information is incorporated into the current knowledge base subject to a causal rejection principle enforcing that, in case of conflicts, more recent rules are preferred and older rules are overridden. Such a rejection principle is also exploited in other approaches to update logic programs, e.g., in dynamic logic programming by Alferes et al. We give a thorough analysis of properties of our approach, to get a better understanding of the causal rejection principle. We review postulates for update and revision operators from the area of theory change and nonmonotonic reasoning, and some new properties are considered as well. We then consider refinements of our semantics which incorporate a notion of minimality of change. As well, we investigate the relationship to other approaches, showing that our approach is semantically equivalent to inheritance programs by Buccafurri et al. and that it coincides with certain classes of dynamic logic programs, for which we provide characterizations in terms of graph conditions. Therefore, most of our results about properties of causal rejection principle apply to these approaches as well. Finally, we deal with computational complexity of our approach, and outline how the update semantics and its refinements can be implemented on top of existing logic programming engines.

Connected through hyperedge HE-1 (induced by source paper "belief base revision for further improvement of unified answer set programming"):
  with members:
    - "a unified framework for nonmonotonic reasoning with vagueness and uncertainty"

Connected through hyperedge HE-2 (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"
    - "the rise and fall of semantic rule updates based on se models"
    - "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"

Connected through hyperedge HE-3 (induced by source paper "exception based knowledge updates"):
  with members:
    - "the rise and fall of semantic rule updates based on se models"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "characterization of logic program revision as an extension of propositional revision"):
  with members:
    - "the rise and fall of semantic rule updates based on se models"
    - "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"

Connected through hyperedge HE-5 (induced by source paper "the rise and fall of semantic rule updates based on se models"):
  with members:
    - "splitting and updating hybrid knowledge bases"
    - "a program level approach to revising logic programs under the answer set semantics"
    - "propositional theories are strongly equivalent to logic programs"
    - "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"

Connected through hyperedge HE-6 (induced by source paper "splitting and updating hybrid knowledge bases"):
  with members:
    - "towards closed world reasoning in dynamic open worlds"
    - "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"

Connected through hyperedge HE-7 (induced by source paper "back and forth between rules and se models extended version"):
  with members:
    - "an abductive framework for computing knowledge base updates"
    - "strong equivalence made easy nested expressions and weight constraints"

Connected through hyperedge HE-8 (induced by source paper "a program level approach to revising logic programs under the answer set semantics"):
  with members:
    - "the dlv system for knowledge representation and reasoning"

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)