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: "time window temporal logic"
  Abstract: This paper introduces time window temporal logic (TWTL), a rich expressivity language for describing various time bounded specifications. In particular, the syntax and semantics of TWTL enable the compact representation of serial tasks, which are typically seen in robotics and control applications. This paper also discusses the relaxation of TWTL formulae with respect to deadlines of tasks. Efficient automata-based frameworks to solve synthesis, verification and learning problems are also presented. The key ingredient to the presented solution is an algorithm to translate a TWTL formula to an annotated finite state automaton that encodes all possible temporal relaxations of the specification. Case studies illustrating the expressivity of the logic and the proposed algorithms are included.

Connected through hyperedge HE-1 (induced by source paper "average based robustness for continuous time signal temporal logic"):
  with members:
    - "arithmetic geometric mean robustness for control from signal temporal logic specifications"
    - "a policy search method for temporal logic specified reinforcement learning tasks"
    - "an milp approach for real time optimal controller synthesis with metric temporal logic specifications"
    - "cooperative planning for coupled multi agent systems under timed temporal specifications"

Connected through hyperedge HE-2 (induced by source paper "arithmetic geometric mean robustness for control from signal temporal logic specifications"):
  with members:
    - "a policy search method for temporal logic specified reinforcement learning tasks"
    - "an milp approach for real time optimal controller synthesis with metric temporal logic specifications"
    - "temporal logic as filtering"

Connected through hyperedge HE-3 (induced by source paper "metrics for signal temporal logic formulae"):
  with members:
    - "mining parametric temporal logic properties in model based design for cyber physical systems"
    - "diagnosis and repair for synthesis from signal temporal logic specifications"
    - "on the minimal revision problem of specification automata"
    - "on line monitoring for temporal logic robustness"

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.FL(Formal Languages and Automata Theory)