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 "dynamics of belief abduction horn knowledge base and database updates"):
  Abstract: The dynamics of belief and knowledge is one of the major components of any autonomous system that should be able to incorporate new pieces of information. In order to apply the rationality result of belief dynamics theory to various practical problems, it should be generalized in two respects: first it should allow a certain part of belief to be declared as immutable; and second, the belief state need not be deductively closed. Such a generalization of belief dynamics, referred to as base dynamics, is presented in this paper, along with the concept of a generalized revision algorithm for knowledge bases (Horn or Horn logic with stratified negation). We show that knowledge base dynamics has an interesting connection with kernel change via hitting set and abduction. In this paper, we show how techniques from disjunctive logic programming can be used for efficient (deductive) database updates. The key idea is to transform the given database together with the update request into a disjunctive (datalog) logic program and apply disjunctive techniques (such as minimal model reasoning) to solve the original update problem. The approach extends and integrates standard techniques for efficient query answering and integrity checking. The generation of a hitting set is carried out through a hyper tableaux calculus and magic set that is focused on the goal of minimality. The present paper provides a comparative study of view update algorithms in rational approach. For, understand the basic concepts with abduction, we provide an abductive framework for knowledge base dynamics. Finally, we demonstrate how belief base dynamics can provide an axiomatic characterization for insertion a view atom to the database. We give a quick overview of the main operators for belief change, in particular, belief update versus database update.

Includes members:
  Member "comparative study of view update algorithms in rational choice theory":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a new rational algorithm for view updating in relational databases")
  Member "on the complexity of second best abductive explanations":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "an abductive framework for horn knowledge base dynamics")
  Member "a new rational algorithm for view updating in relational databases":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "comparative study of view update algorithms in rational choice theory")
  Member "an abductive framework for horn knowledge base dynamics":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a new rational algorithm for view updating in relational databases")
  Member "a rational and efficient algorithm for view revision in databases":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a new rational algorithm for view updating in relational databases")
  Member "each normal logic program has a 2 valued minimal hypotheses semantics":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "an abductive framework for horn knowledge base dynamics")
  Member "admissible and restrained revision":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "elementary iterated revision and the levi identity")
  Member "coherent integration of databases by abductive logic programming":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "example driven query intent discovery abductive reasoning using semantic similarity")

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.LO(Logic in Computer Science)