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: "extending agents by transmitting protocols in open systems"
  Abstract: ABSTRACT Agentsinanopensystemcommunicateusinginteractionprotocols.Suppose that we have a system of agents and that we want to add anew protocol thatall(orsome) agentsshould beabletounderstand.Clearly, modifying the source code for each agent implementationis not practical. A solution to this problem of upgrading an opensystem is to have a mechanism that allows agents to receive a de-scription of an interaction protocol and use it. In this paper wepro-pose a representation for protocols based on extending Petri nets.However, this is not enough: in an open system the source of a pro-tocol may not be trusted and a protocol that is received may con-tain steps that are erroneous or that make conﬁdential informationpublic. We therefore also describe an analysis method that inferswhether a protocol is safe. Finally, we give an execution model forextended Petri nets. 1. INTRODUCTION An intelligent agent is situated, reactive, proactive, autonomousand social [9]. The social ability of an agent is exercised in amulti-agent system, which constitutes a collection of such agents.A multi-agent system where agents are created by different organi-sations using possibly different agent architectures is often termedan open system. For example, the Agentcities network.Open systems introduce issues for agents that want to communi-cate. For example, issues of

Connected through hyperedge HE-1 (induced by source paper "representing conversations for scalable overhearing"):
  with members:
    - "relational bayesian networks"
    - "monitoring teams by overhearing a multi agent plan recognition approach"
    - "parameter learning of logic programs for symbolic statistical modeling"
    - "statistical inference and probabilistic modelling for constraint based nlp"

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)