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 "analysis of demand control policies using an agent based multi layer power system model"):
  Abstract: This paper studies how the communication network affects the power utilization and fairness in a simplified power system model, composed by three coupled layers: physical, communication and regulatory. Using an agent-based approach, we build a scenario where individuals may cooperate (by removing a load) or not (by keeping their loads or adding one more). The agent decision reflects its desire of maximizing the delivered power based on its internal state, its global state perception, a randomized selfishness related to its willingness to follow demand-side control requests, and the state information received from its neighbors in the communication network. Our focus is to understand how the network topology and errors in the communication layer affect the agents' behavior, reflected in the power utilization and fairness for different demand-side policies. Our results show that for optimal power utilization and fairness a global knowledge about the system is needed. We show that close to optimal results can be archived with either a demand control signal or a global pricing for energy.

Includes members:
  Member "why smart appliances may result in a stupid energy grid":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "energy internet via packetized management enabling technologies and deployment challenges")
  Member "dynamics of complex systems built as coupled physical communication and decision layers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "energy internet via packetized management enabling technologies and deployment challenges")
  Member "agent based model for spot and balancing electricity markets":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "energy internet via packetized management enabling technologies and deployment challenges")
  Member "models for the modern power grid":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "energy internet via packetized management enabling technologies and deployment challenges")
  Member "a game theoretic approach to energy trading in the smart grid":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "when energy trading meets blockchain in electrical power system the state of the art")

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.MA(Multiagent Systems)