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: "routing driverless transport vehicles in car assembly with answer set programming"
  Abstract: Automated storage and retrieval systems are principal components of modern production and warehouse facilities. In particular, automated guided vehicles nowadays substitute human-operated pallet trucks in transporting production materials between storage locations and assembly stations. While low-level control systems take care of navigating such driverless vehicles along programmed routes and avoid collisions even under unforeseen circumstances, in the common case of multiple vehicles sharing the same operation area, the problem remains how to set up routes such that a collection of transport tasks is accomplished most effectively. We address this prevalent problem in the context of car assembly at Mercedes-Benz Ludwigsfelde GmbH, a large-scale producer of commercial vehicles, where routes for automated guided vehicles used in the production process have traditionally been hand-coded by human engineers. Such ad-hoc methods may suffice as long as a running production process remains in place, while any change in the factory layout or production targets necessitates tedious manual reconfiguration, not to mention the missing portability between different production plants. Unlike this, we propose a declarative approach based on Answer Set Programming to optimize the routes taken by automated guided vehicles for accomplishing transport tasks. The advantages include a transparent and executable problem formalization, provable optimality of routes relative to objective criteria, as well as elaboration tolerance towards particular factory layouts and production targets. Moreover, we demonstrate that our approach is efficient enough to deal with the transport tasks evolving in realistic production processes at the car factory of Mercedes-Benz Ludwigsfelde GmbH.

Connected through hyperedge HE-1 (induced by source paper "inconsistency proofs for asp the asp drupe format"):
  with members:
    - "asp core 2 input language format"
    - "shared aggregate sets in answer set programming"
    - "textsf qrat generalizing qrat by a more powerful qbf redundancy property"
    - "efficient certified rat verification"
    - "vicious circle principle and logic programs with aggregates"
    - "team building with answer set programming in the gioia tauro seaport"
    - "detecting inconsistencies in large biological networks with answer set programming"
    - "trichotomy and dichotomy results on the complexity of reasoning with disjunctive logic programs"

Connected through hyperedge HE-2 (induced by source paper "asp core 2 input language format"):
  with members:
    - "relating two dialects of answer set programming"
    - "abstract gringo"
    - "rewriting recursive aggregates in answer set programming back to monotonicity"
    - "vicious circle principle and logic programs with aggregates"
    - "the third open answer set programming competition"
    - "unfounded sets and well founded semantics of answer set programs with aggregates"
    - "well founded and stable semantics of logic programs with aggregates"

Connected through hyperedge HE-3 (induced by source paper "solving a flowshop scheduling problem with answer set programming exploiting the problem to reduce the number of combinations"):
  with members:
    - "team building with answer set programming in the gioia tauro seaport"

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)