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: "automated synthesis of distributed controllers"
  Abstract: Synthesis is a particularly challenging problem for concurrent programs. At the same time it is a very promising approach, since concurrent programs are difficult to get right, or to analyze with traditional verification techniques. This paper gives an introduction to distributed synthesis in the setting of Mazurkiewicz traces, and its applications to decentralized runtime monitoring. 1 Context Modern computing systems are increasingly distributed and heterogeneous. Software needs to be able to exploit these advances, providing means for applications to be more performant. Traditional concurrent programming paradigms, as in Java, are based on threads, shared-memory, and locking mechanisms that guard access to common data. More recent paradigms like the reactive programming model of Erlang [4] and Scala [35,36] replace shared memory by asynchronous message passing, where sending a message is non-blocking. In all these concurrent frameworks, writing reliable software is a serious challenge. Programmers tend to think about code mostly in a sequential way, and it is hard to grasp all possible schedulings of events in a concurrent execution. For similar reasons, verification and analysis of concurrent programs is a difficult task. Testing, which is still the main method for error detection in software, has low coverage for concurrent programs. The reason is that bugs in such programs are difficult to reproduce: they may happen under very specific thread schedules and the likelihood of taking such corner-case schedules is very low. Automated verification, such as model-checking and other traditional exploration techniques, can handle very limited instances of concurrent programs, mostly because of the very large number of possible states and of possible interleavings of executions. Formal analysis of programs requires as a prerequisite a clean mathematical model for programs. Verification of sequential programs starts usually with an abstraction step -- reducing the value domains of variables to finite domains, viewing conditional branching as non-determinism, etc. Another major simplification consists in disallowing recursion. This leads to a very robust computational model, namely finite-state automata and regular languages. Regular languages of words (and trees) are particularly well understood notions. The deep connections between logic and automata revealed by the foundational work of B\"uchi, Rabin, and others, are the main ingredients in automata-based verification .

Connected through hyperedge HE-1 (induced by source paper "parameterized synthesis for fragments of first order logic over data words"):
  with members:
    - "synthesis of data word transducers"
    - "playing with repetitions in data words using energy games"
    - "bounded synthesis of register transducers"
    - "distributed synthesis for parameterized temporal logics"
    - "playing games in the baire space"
    - "optimal strategy synthesis for request response games"
    - "petri games synthesis of distributed systems with causal memory"
    - "solving parity games on integer vectors"

Connected through hyperedge HE-2 (induced by source paper "translating asynchronous games for distributed synthesis full version"):
  with members:
    - "high level representation of benchmark families for petri games"
    - "symbolic vs bounded synthesis for petri games"
    - "synthesis in distributed environments"
    - "on the control of asynchronous automata"
    - "distributed synthesis for acyclic architectures"
    - "petri games synthesis of distributed systems with causal memory"
    - "asynchronous games over tree architectures"

Connected through hyperedge HE-3 (induced by source paper "soundness in negotiations"):
  with members:
    - "on negotiation as concurrency primitive ii deterministic cyclic negotiations"

Connected through hyperedge HE-4 (induced by source paper "a class of zielonka automata with a decidable controller synthesis problem"):
  with members:
    - "on the controller synthesis problem for distributed systems with causal memory"
    - "distributed synthesis for acyclic architectures"
    - "asynchronous games over tree architectures"

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)