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: "asynchronous forward bounding for distributed cops"
  Abstract: A new search algorithm for solving distributed constraint optimization problems (DisCOPs) is presented. Agents assign variables sequentially and compute bounds on partial assignments asynchronously. The asynchronous bounds computation is based on the propagation of partial assignments. The asynchronous forward-bounding algorithm (AFB) is a distributed optimization search algorithm that keeps one consistent partial assignment at all times. The algorithm is described in detail and its correctness proven. Experimental evaluation shows that AFB outperforms synchronous branch and bound by many orders of magnitude, and produces a phase transition as the tightness of the problem increases. This is an analogous effect to the phase transition that has been observed when local consistency maintenance is applied to MaxCSPs. The AFB algorithm is further enhanced by the addition of a backjumping mechanism, resulting in the AFB-BJ algorithm. Distributed backjumping is based on accumulated information on bounds of all values and on processing concurrently a queue of candidate goals for the next move back. The AFB-BJ algorithm is compared experimentally to other DisCOP algorithms (ADOPT, DPOP, OptAPO) and is shown to be a very efficient algorithm for DisCOPs.

Connected through hyperedge HE-1 (induced by source paper "rmb dpop refining mb dpop by reducing redundant inferences"):
  with members:
    - "hs cai a hybrid dcop algorithm via combining search with context based inference"
    - "bnb adopt an asynchronous branch and bound dcop algorithm"

Connected through hyperedge HE-2 (induced by source paper "hs cai a hybrid dcop algorithm via combining search with context based inference"):
  with members:
    - "pt isabb a hybrid tree based complete algorithm to solve asymmetric distributed constraint optimization problems"
    - "distributed constraint optimization problems and applications a survey"

Connected through hyperedge HE-3 (induced by source paper "pt isabb a hybrid tree based complete algorithm to solve asymmetric distributed constraint optimization problems"):
  with members:
    - "bnb adopt an asynchronous branch and bound dcop algorithm"
    - "asymmetric distributed constraint optimization problems"

Connected through hyperedge HE-4 (induced by source paper "aed an anytime evolutionary dcop algorithm"):
  with members:
    - "a particle swarm based algorithm for functional distributed constraint optimization problems"
    - "bnb adopt an asynchronous branch and bound dcop algorithm"

Connected through hyperedge HE-5 (induced by source paper "a generic approach for accelerating belief propagation based dcop algorithms via a branch and bound technique"):
  with members:
    - "bnb adopt an asynchronous branch and bound dcop algorithm"

Connected through hyperedge HE-6 (induced by source paper "distributed constraint optimization problems and applications a survey"):
  with members:
    - "accelerating exact and approximate inference for distributed discrete optimization with gpus"
    - "a realistic dataset for the smart home device scheduling problem for dcops"
    - "bnb adopt an asynchronous branch and bound dcop algorithm"
    - "asymmetric distributed constraint optimization problems"
    - "regret based multi agent coordination with uncertain task rewards"
    - "graphical models for game theory"
    - "message passing algorithms for quadratic programming formulations of map estimation"
    - "completeness and performance of the apo algorithm"

Connected through hyperedge HE-7 (induced by source paper "solving distributed constraint optimization problems using logic programming"):
  with members:
    - "bnb adopt an asynchronous branch and bound dcop algorithm"
    - "logic and constraint logic programming for distributed constraint optimization"
    - "cologne a declarative distributed constraint optimization platform"
    - "autonomous agents coordination action languages meet clp fd and linda"
    - "logic programming for finding models in the logics of knowledge and its applications a case study"
    - "stable models and an alternative logic programming paradigm"

Connected through hyperedge HE-8 (induced by source paper "a realistic dataset for the smart home device scheduling problem for dcops"):
  with members:
    - "distributed constraint optimization problems and applications a survey"
    - "bnb adopt an asynchronous branch and bound dcop algorithm"
    - "coalition structure generation over graphs"

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)