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: "an exponential lower bound for the latest deterministic strategy iteration algorithms"
  Abstract: This paper presents a new exponential lower bound for the two most popular#N#deterministic variants of the strategy improvement algorithms for solving#N#parity, mean payoff, discounted payoff and simple stochastic games. The first#N#variant improves every node in each step maximizing the current valuation#N#locally, whereas the second variant computes the globally optimal improvement#N#in each step. We outline families of games on which both variants require#N#exponentially many strategy iterations.

Connected through hyperedge HE-1 (induced by source paper "a parity game tale of two counters"):
  with members:
    - "simple fixpoint iteration to solve parity games"
    - "solving parity games using an automata based algorithm"
    - "parity games zielonka s algorithm in quasi polynomial time"
    - "oink an implementation and evaluation of modern parity game solvers"
    - "attracting tangles to solve parity games"
    - "robust exponential worst cases for divide et impera algorithms for parity games"
    - "efficient parallel strategy improvement for parity games"
    - "succinct progress measures for solving parity games"

Connected through hyperedge HE-2 (induced by source paper "an ordered approach to solving parity games in quasi polynomial time and quasi linear space"):
  with members:
    - "symmetric strategy improvement"
    - "improved algorithms for one pair and k pair streett objectives"
    - "non oblivious strategy improvement"
    - "from nondeterministic b uchi and streett automata to deterministic parity automata"

Connected through hyperedge HE-3 (induced by source paper "efficient parallel strategy improvement for parity games"):
  with members:
    - "the complexity of all switches strategy improvement"
    - "benchmarks for parity games"
    - "strategy iteration using non deterministic strategies for solving parity games"

Connected through hyperedge HE-4 (induced by source paper "the complexity of all switches strategy improvement"):
  with members:
    - "on simplex pivoting rules and complexity theory"
    - "the complexity of the simplex method"
    - "the simplex algorithm is np mighty"
    - "non oblivious strategy improvement"
    - "the complexity of the homotopy method equilibrium selection and lemke howson solutions"
    - "exponential lower bounds for policy iteration"
    - "linear complementarity algorithms for infinite games"

Connected through hyperedge HE-5 (induced by source paper "symmetric strategy improvement"):
  with members:
    - "non oblivious strategy improvement"
    - "exponential lower bounds for policy iteration"
    - "from nondeterministic b uchi and streett automata to deterministic parity automata"

Connected through hyperedge HE-6 (induced by source paper "benchmarks for parity games extended version"):
  with members:
    - "gist a solver for probabilistic games"
    - "a super polynomial lower bound for the parity game strategy improvement algorithm as we know it"

Connected through hyperedge HE-7 (induced by source paper "the complexity of ergodic mean payoff games"):
  with members:
    - "exact algorithms for solving stochastic games"
    - "solving simple stochastic games with few coin toss positions"
    - "the complexity of solving reachability games using value and strategy iteration"
    - "exponential lower bounds for policy iteration"
    - "recursive concurrent stochastic games"
    - "stochastic limit average games are in exptime"

Connected through hyperedge HE-8 (induced by source paper "the complexity of the simplex method"):
  with members:
    - "on simplex pivoting rules and complexity theory"
    - "the simplex method is strongly polynomial for deterministic markov decision processes"
    - "the complexity of the homotopy method equilibrium selection and lemke howson solutions"
    - "exponential lower bounds for policy iteration"
    - "settling the complexity of computing two player nash equilibria"
    - "smoothed analysis of algorithms why the simplex algorithm usually takes polynomial time"

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.GT(Computer Science and Game Theory)