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: "analysis of dynamic task allocation in multi robot systems"
  Abstract: Dynamic task allocation is an essential requirement for multi-robot systems operating in unknown dynamic environments. It allows robots to change their behavior in response to environmental changes or actions of other robots in order to improve overall system performance. Emergent coordination algorithms for task allocation that use only local sensing and no direct communication between robots are attractive because they are robust and scalable. However, a lack of formal analysis tools makes emergent coordination algorithms difficult to design. In this paper we present a mathematical model of a general dynamic task allocation mechanism. Robots using this mechanism have to choose between two types of task, and the goal is to achieve a desired task division in the absence of explicit communication and global knowledge. Robots estimate the state of the environment from repeated local observations and decide which task to choose based on these observations. We model the robots and observations as stochastic processes and study the dynamics of the collective behavior. Specifically, we analyze the effect that the number of observations and the choice of the decision function have on the performance of the system. The mathematical models are validated in a multi-robot multi-foraging scenario. The model's predictions agree very closely with experimental results from sensor-based simulations.

Connected through hyperedge HE-1 (induced by source paper "adaptive task allocation for heterogeneous multi robot teams with evolving and unknown robot capabilities"):
  with members:
    - "control barrier functions theory and applications"
    - "an optimal task allocation strategy for heterogeneous multi robot systems"
    - "self adaptive decision making mechanisms to balance the execution of multiple tasks for a multi robots team"
    - "constraint driven coordinated control of multi robot systems"
    - "the robotarium a remotely accessible swarm robotics research testbed"

Connected through hyperedge HE-2 (induced by source paper "scalable decision theoretic planning in open and typed multiagent systems"):
  with members:
    - "interactive pomdp lite towards practical planning to predict and exploit intentions for interacting with self interested agents"
    - "online planning algorithms for pomdps"

Connected through hyperedge HE-3 (induced by source paper "decentralized cooperative communication less multi agent task assignment with monte carlo tree search"):
  with members:
    - "high performance cryptographically secure pseudo random number generation via bitslicing"
    - "generating high quality random numbers a high throughput parallel bitsliced approach"

Connected through hyperedge HE-4 (induced by source paper "a distributed version of the hungarian method for multi robot assignment"):
  with members:
    - "target assignment for robotic networks asymptotic performance under limited communication"

Connected through hyperedge HE-5 (induced by source paper "pde based optimization for stochastic mapping and coverage strategies using robotic ensembles"):
  with members:
    - "efficient multi robot motion planning for unlabeled discs in simple polygons"
    - "modeling and mathematical analysis of swarms of microscopic robots"

Connected through hyperedge HE-6 (induced by source paper "partitioning strategies and task allocation for target tracking with multiple guards in polygonal environments"):
  with members:
    - "on guarding orthogonal polygons with sliding cameras"
    - "clearing an orthogonal polygon using sliding robots"
    - "guarding and searching polyhedra"
    - "multi agent deployment for visibility coverage in polygonal environments with holes"

Connected through hyperedge HE-7 (induced by source paper "decentralized autonomous navigation strategies for multi robot search and rescue"):
  with members:
    - "dynamic coverage of mobile sensor networks"

Connected through hyperedge HE-8 (induced by source paper "stochastic models of user contributory web sites"):
  with members:
    - "predicting the popularity of online content"
    - "analysis of social voting patterns on digg"
    - "novelty and collective attention"
    - "social information processing in news aggregation"
    - "social networks and social information filtering on digg"
    - "modeling and mathematical analysis of swarms of microscopic robots"

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.RO(Robotics)