human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "distributed constraint optimization problems and applications a survey"):
  Abstract: The field of multi-agent system (MAS) is an active area of research within artificial intelligence, with an increasingly important impact in industrial and other real-world applications. In a MAS, autonomous agents interact to pursue personal interests and/or to achieve common objectives. Distributed Constraint Optimization Problems (DCOPs) have emerged as a prominent agent model to govern the agents' autonomous behavior, where both algorithms and communication models are driven by the structure of the specific problem. During the last decade, several extensions to the DCOP model have been proposed to enable support of MAS in complex, real-time, and uncertain environments.#N##N#This survey provides an overview of the DCOP model, offering a classification of its multiple extensions and addressing both resolution methods and applications that find a natural mapping within each class of DCOPs. The proposed classification suggests several future perspectives for DCOP extensions and identifies challenges in the design of efficient resolution algorithms, possibly through the adaptation of strategies from different areas.

Includes members:
  Member "accelerating exact and approximate inference for distributed discrete optimization with gpus":
    also connected through other hyperedges:
      (none)
  Member "a realistic dataset for the smart home device scheduling problem for dcops":
    also connected through other hyperedges:
      (none)
  Member "bnb adopt an asynchronous branch and bound dcop algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "rmb dpop refining mb dpop by reducing redundant inferences")
  Member "asymmetric distributed constraint optimization problems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "pt isabb a hybrid tree based complete algorithm to solve asymmetric distributed constraint optimization problems")
  Member "regret based multi agent coordination with uncertain task rewards":
    also connected through other hyperedges:
      (none)
  Member "graphical models for game theory":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "complexity theory game theory and economics the barbados lectures")
  Member "message passing algorithms for quadratic programming formulations of map estimation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "lpqp for map putting lp solvers to better use")
  Member "asynchronous forward bounding for distributed cops":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "rmb dpop refining mb dpop by reducing redundant inferences")

Question: Please tell me which class the source paper 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)