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: "window parity games an alternative approach toward parity games with time bounds"
  Abstract: Classical objectives in two-player zero-sum games played on graphs often deal with limit behaviors of infinite plays: e.g., mean-payoff and total-payoff in the quantitative setting, or parity in the qualitative one (a canonical way to encode omega-regular properties). Those objectives offer powerful abstraction mechanisms and often yield nice properties such as memoryless determinacy. However, their very nature provides no guarantee on time bounds within which something good can be witnessed. In this work, we consider two approaches toward inclusion of time bounds in parity games. The first one, parity-response games, is based on the notion of finitary parity games [CHH09] and parity games with costs [FZ14,WZ16]. The second one, window parity games, is inspired by window mean-payoff games [CDRR15]. We compare the two approaches and show that while they prove to be equivalent in some contexts, window parity games offer a more tractable alternative when the time bound is given as a parameter (P-c. vs. PSPACE-c.). In particular, it provides a conservative approximation of parity games computable in polynomial time. Furthermore, we extend both approaches to the multi-dimension setting. We give the full picture for both types of games with regard to complexity and memory bounds. #R##N#[CHH09] K. Chatterjee, T.A. Henzinger, F. Horn (2009): Finitary winning in omega-regular games. ACM Trans. Comput. Log. 11(1). [FZ14] N. Fijalkow, M. Zimmermann (2014): Parity and Streett Games with Costs. LMCS 10(2). [WZ16] A. Weinert, M. Zimmermann (2016): Easy to Win, Hard to Master: Optimal Strategies in Parity Games with Costs. Proc. of CSL, LIPIcs, Schloss Dagstuhl - LZI. To appear. [CDRR15] K. Chatterjee, L. Doyen, M. Randour, J.-F. Raskin (2015): Looking at mean-payoff and total-payoff through windows. Information and Computation 242, pp. 25-52.

Connected through hyperedge HE-1 (induced by source paper "games where you can play optimally with finite memory"):
  with members:
    - "concurrent games and semi random determinacy"
    - "extending finite memory determinacy by boolean combination of winning conditions"
    - "trading bounds for memory in games with counters"
    - "average energy games"
    - "non zero sum games for reactive synthesis"
    - "fixed dimensional energy games are in pseudo polynomial time"
    - "first cycle games"
    - "looking at mean payoff and total payoff through windows"

Connected through hyperedge HE-2 (induced by source paper "life is random time is not markov decision processes with window objectives"):
  with members:
    - "multi weighted markov decision processes with reachability objectives"
    - "expected window mean payoff"
    - "universal trees grow inside separating automata quasi polynomial lower bounds for parity games"
    - "the complexity of mean payoff games using universal graphs"
    - "extending finite memory determinacy by boolean combination of winning conditions"
    - "value iteration for long run average reward in markov decision processes"
    - "threshold constraints with guarantees for parity objectives in markov decision processes"
    - "a storm is coming a modern probabilistic model checker"

Connected through hyperedge HE-3 (induced by source paper "quantitative reductions and vertex ranked infinite games"):
  with members:
    - "easy to win hard to master optimal strategies in parity games with costs"
    - "average energy games"
    - "parametric linear dynamic logic"
    - "meet your expectations with guarantees beyond worst case synthesis in quantitative games"
    - "the complexity of multi mean payoff and multi energy games"
    - "measuring permissiveness in parity games mean payoff parity games revisited"
    - "generalized mean payoff and energy games"
    - "energy parity games"

Connected through hyperedge HE-4 (induced by source paper "quantitative reductions and vertex ranked infinite games full version"):
  with members:
    - "easy to win hard to master optimal strategies in parity games with costs"
    - "average energy games"
    - "parametric linear dynamic logic"
    - "parity and streett games with costs"
    - "down the borel hierarchy solving muller games via safety games"
    - "playing muller games in a hurry"
    - "energy parity games"

Connected through hyperedge HE-5 (induced by source paper "window parity games an alternative approach toward parity games with time bounds full version"):
  with members:
    - "easy to win hard to master optimal strategies in parity games with costs"
    - "parity and streett games with costs"
    - "strategy synthesis for multi dimensional quantitative objectives"
    - "the surprizing complexity of generalized reachability games"

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)