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: "reaching unanimous agreements within agent based negotiation teams with linear and monotonic utility functions"
  Abstract: In this article, an agent-based negotiation model for negotiation teams that negotiate a deal with an opponent is presented. Agent-based negotiation teams are groups of agents that join together as a single negotiation party because they share an interest that is related to the negotiation process. The model relies on a trusted mediator that coordinates and helps team members in the decisions that they have to take during the negotiation process: which offer is sent to the opponent, and whether the offers received from the opponent are accepted. The main strength of the proposed negotiation model is the fact that it guarantees unanimity within team decisions since decisions report a utility to team members that is greater than or equal to their aspiration levels at each negotiation round. This work analyzes how unanimous decisions are taken within the team and the robustness of the model against different types of manipulations. An empirical evaluation is also performed to study the impact of the different parameters of the model.

Connected through hyperedge HE-1 (induced by source paper "can we reach pareto optimal outcomes using bottom up approaches"):
  with members:
    - "unanimously acceptable agreements for negotiation teams in unpredictable domains"
    - "tasks for agent based negotiation teams analysis review and challenges"
    - "studying the impact of negotiation environments on negotiation teams performance"
    - "evolutionary aided negotiation model for bilateral bargaining in ambient intelligence domains with complex utility functions"
    - "achieving fully proportional representation is easy in practice"
    - "techniques for highly multiobjective optimisation some nondominated points are better than others"

Connected through hyperedge HE-2 (induced by source paper "unanimously acceptable agreements for negotiation teams in unpredictable domains"):
  with members:
    - "evolutionary aided negotiation model for bilateral bargaining in ambient intelligence domains with complex utility functions"
    - "an anytime algorithm for optimal coalition structure generation"

Connected through hyperedge HE-3 (induced by source paper "intra team strategies for teams negotiating against competitor matchers and conceders"):
  with members:
    - "studying the impact of negotiation environments on negotiation teams performance"

Connected through hyperedge HE-4 (induced by source paper "tasks for agent based negotiation teams analysis review and challenges"):
  with members:
    - "studying the impact of negotiation environments on negotiation teams performance"
    - "an anytime algorithm for optimal coalition structure generation"
    - "the strategy proofness landscape of merging"

Connected through hyperedge HE-5 (induced by source paper "studying the impact of negotiation environments on negotiation teams performance"):
  with members:
    - "evolutionary aided negotiation model for bilateral bargaining in ambient intelligence domains with complex utility functions"
    - "multi issue negotiation with deadlines"

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.MA(Multiagent Systems)