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: "multi shot asp solving with clingo"
  Abstract: We introduce a new flexible paradigm of grounding and solving in Answer Set Programming (ASP), which we refer to as multi-shot ASP solving, and present its implementation in the ASP system clingo. #R##N#Multi-shot ASP solving features grounding and solving processes that deal with continuously changing logic programs. In doing so, they remain operative and accommodate changes in a seamless way. For instance, such processes allow for advanced forms of search, as in optimization or theory solving, or interaction with an environment, as in robotics or query-answering. Common to them is that the problem specification evolves during the reasoning process, either because data or constraints are added, deleted, or replaced. This evolutionary aspect adds another dimension to ASP since it brings about state changing operations. We address this issue by providing an operational semantics that characterizes grounding and solving processes in multi-shot ASP solving. This characterization provides a semantic account of grounder and solver states along with the operations manipulating them. #R##N#The operative nature of multi-shot solving avoids redundancies in relaunching grounder and solver programs and benefits from the solver's learning capacities. clingo accomplishes this by complementing ASP's declarative input language with control capacities. On the declarative side, a new directive allows for structuring logic programs into named and parameterizable subprograms. The grounding and integration of these subprograms into the solving process is completely modular and fully controllable from the procedural side. To this end, clingo offers a new application programming interface that is conveniently accessible via scripting languages.

Connected through hyperedge HE-1 (induced by source paper "selp a single shot epistemic logic program solver"):
  with members:
    - "a survey of advances in epistemic logic program solvers"
    - "the power of non ground rules in answer set programming"
    - "a parallel memory efficient epistemic logic program solver harder better faster"
    - "lpopt a rule optimization tool for answer set programming"
    - "clingo asp control preliminary report"
    - "revisiting epistemic specifications"
    - "well founded and stable semantics of logic programs with aggregates"

Connected through hyperedge HE-2 (induced by source paper "a logic based framework leveraging neural networks for studying the evolution of neurological disorders"):
  with members:
    - "the seventh answer set programming competition design and results"
    - "the external interface for extending wasp"
    - "asp core 2 input language format"
    - "a comprehensive survey on graph neural networks"
    - "interpreting cnns via decision trees"
    - "constraint answer set programming without grounding"
    - "automated verification of neural networks advances challenges and perspectives"
    - "visual interpretability for deep learning a survey"

Connected through hyperedge HE-3 (induced by source paper "better paracoherent answer sets with less resources"):
  with members:
    - "on the computation of paracoherent answer sets"
    - "query answering in resource based answer set semantics"
    - "combining answer set programming and domain heuristics for solving hard industrial problems application paper"
    - "anytime answer set optimization via unsatisfiable core shrinking"
    - "improved answer set programming encodings for abstract argumentation"
    - "on the tractability of minimal model computation for some cnf theories"
    - "the dlv system for knowledge representation and reasoning"
    - "flux a logic programming method for reasoning agents"

Connected through hyperedge HE-4 (induced by source paper "reasoning in highly reactive environments"):
  with members:
    - "general video game ai a multi track framework for evaluating agents games and content generation algorithms"
    - "reactive multi context systems heterogeneous reasoning in dynamic environments"
    - "ticker a system for incremental asp based stream reasoning"
    - "deep learning for video game playing"

Connected through hyperedge HE-5 (induced by source paper "incremental answer set programming with overgrounding"):
  with members:
    - "optimizing answer set computation via heuristic based decomposition"
    - "ticker a system for incremental asp based stream reasoning"
    - "asperix a first order forward chaining approach for answer set computing"

Connected through hyperedge HE-6 (induced by source paper "conversational ai open domain question answering and commonsense reasoning"):
  with members:
    - "constraint answer set programming without grounding"
    - "squad 100 000 questions for machine comprehension of text"

Connected through hyperedge HE-7 (induced by source paper "experimenting with robotic intra logistics domains"):
  with members:
    - "lifelong multi agent path finding for online pickup and delivery tasks"
    - "clingcon the next generation"
    - "multi agent path planning and network flow"

Connected through hyperedge HE-8 (induced by source paper "temporal answer set programming on finite traces"):
  with members:
    - "on the complexity of temporal equilibrium logic"

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)