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: "admissible and restrained revision"
  Abstract: As partial justification of their framework for iterated belief revision Darwiche and Pearl convincingly argued against Boutilier's natural revision and provided a prototypical revision operator that fits into their scheme. We show that the Darwiche-Pearl arguments lead naturally to the acceptance of a smaller class of operators which we refer to as admissible. Admissible revision ensures that the penultimate input is not ignored completely, thereby eliminating natural revision, but includes the Darwiche-Pearl operator, Nayak's lexicographic revision operator, and a newly introduced operator called restrained revision. We demonstrate that restrained revision is the most conservative of admissible revision operators, effecting as few changes as possible, while lexicographic revision is the least conservative, and point out that restrained revision can also be viewed as a composite operator, consisting of natural revision preceded by an application of a "backwards revision" operator previously studied by Papini. Finally, we propose the establishment of a principled approach for choosing an appropriate revision operator in different contexts and discuss future work.

Connected through hyperedge HE-1 (induced by source paper "elementary iterated revision and the levi identity"):
  with members:
    - "on strengthening the logic of iterated belief revision proper ordinal interval operators"
    - "extending the harper identity to iterated belief change"
    - "what does a conditional knowledge base entail"
    - "another perspective on default reasoning"
    - "the lexicographic closure as a revision process"

Connected through hyperedge HE-2 (induced by source paper "iterated belief base revision a dynamic epistemic logic approach"):
  with members:
    - "nonmonotonic reasoning preferential models and cumulative logics"

Connected through hyperedge HE-3 (induced by source paper "on strengthening the logic of iterated belief revision proper ordinal interval operators"):
  with members:
    - "extending the harper identity to iterated belief change"
    - "distance semantics for belief revision"

Connected through hyperedge HE-4 (induced by source paper "extending the harper identity to iterated belief change"):
  with members:
    - "what does a conditional knowledge base entail"

Connected through hyperedge HE-5 (induced by source paper "dynamics of belief abduction horn knowledge base and database updates"):
  with members:
    - "comparative study of view update algorithms in rational choice theory"
    - "on the complexity of second best abductive explanations"
    - "a new rational algorithm for view updating in relational databases"
    - "an abductive framework for horn knowledge base dynamics"
    - "a rational and efficient algorithm for view revision in databases"
    - "each normal logic program has a 2 valued minimal hypotheses semantics"
    - "coherent integration of databases by abductive logic programming"
    - "new polynomial classes for logic based abduction"

Connected through hyperedge HE-6 (induced by source paper "iterated belief change due to actions and observations"):
  with members:
    - "knowledge and the action description language a"

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)