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: "variable forgetting in reasoning about knowledge"
  Abstract: In this paper, we investigate knowledge reasoning within a simple framework called knowledge structure. We use variable forgetting as a basic operation for one agent to reason about its own or other agents' knowledge. In our framework, two notions namely agents' observable variables and the weakest sufficient condition play important roles in knowledge reasoning. Given a background knowledge base Γ and a set of observable variables Oi for each agent i, we show that the notion of agent i knowing a formula ϕ can be defined as a weakest sufficient condition of ϕ over Oi under Γ Moreover, we show how to capture the notion of common knowledge by using a generalized notion of weakest sufficient condition. Also, we show that public announcement operator can be conveniently dealt with via our notion of knowledge structure. Further, we explore the computational complexity of the problem whether an epistemic formula is realized in a knowledge structure. In the general case, this problem is PSPACE-hard; however, for some interesting subcases, it can be reduced to co-NP. Finally, we discuss possible applications of our framework in some interesting domains such as the automated analysis of the well-known muddy children puzzle and the verification of the revised Needham-Schroeder protocol. We believe that there are many scenarios where the natural presentation of the available information about knowledge is under the form of a knowledge structure. What makes it valuable compared with the corresponding multi-agent S5 Kripke structure is that it can be much more succinct.

Connected through hyperedge HE-1 (induced by source paper "on sufficient and necessary conditions in bounded ctl"):
  with members:
    - "foundations for uniform interpolation and forgetting in expressive description logics"
    - "propositional independence formula variable independence and forgetting"
    - "compiling causal theories to successor state axioms and strips like systems"

Connected through hyperedge HE-2 (induced by source paper "a logic algebraic tool for reasoning with knowledge based systems"):
  with members:
    - "on the practical use of variable elimination in constraint optimization problems still life as a case study"
    - "propositional independence formula variable independence and forgetting"

Connected through hyperedge HE-3 (induced by source paper "inseparability and conservative extensions of description logic ontologies a survey"):
  with members:
    - "query based entailment and inseparability for alc ontologies full version"
    - "ontology based data access a study through disjunctive datalog csp and mmsnp"
    - "the logical difference for the lightweight description logic el"
    - "reasoning over ontologies with hidden content the import by query approach"
    - "foundations for uniform interpolation and forgetting in expressive description logics"
    - "description logic tboxes model theoretic characterizations and rewritability"
    - "the dl lite family and relations"
    - "conjunctive query answering for the description logic shiq"

Connected through hyperedge HE-4 (induced by source paper "forgetting and consolidation for incremental and cumulative knowledge acquisition systems"):
  with members:
    - "propositional independence formula variable independence and forgetting"
    - "a model of inductive bias learning"

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.LO(Logic in Computer Science)