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 "on minimal corrections in asp"):
  Abstract: As a programming paradigm, answer set programming (ASP) brings about the usual issue of the human error. Hence, it is desirable to provide automated techniques that could help the programmer to find the error. This paper addresses the question of computing a subset-minimal correction of a contradictory ASP program. A contradictory ASP program is often undesirable and we wish to provide an automated way of fixing it. We consider a minimal correction set of a contradictory program to be an irreducible set of rules whose removal makes the program consistent. In contrast to propositional logic, corrections of ASP programs behave non-monotonically. Nevertheless, we show that a variety of algorithms for correction set computation in propositional logic can be ported to ASP. An experimental evaluation was carried showing that having a portfolio of such algorithms is indeed of benefit.

Includes members:
  Member "complex optimization in answer set programming":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "beyond np quantifying over answer sets")
  Member "catching the ouroboros on debugging non ground answer set programs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "debugging non ground asp programs technique and graphical tools")
  Member "testing and debugging techniques for answer set solver development":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "origins of answer set programming some background and two personal accounts")
  Member "extending the stable model semantics with more expressive rules":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "expressing preferences using preference set constraint atoms")

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)