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: "fragility of the commons under prospect theoretic risk attitudes"
  Abstract: We study a common-pool resource game where the resource experiences failure with a probability that grows with the aggregate investment in the resource. To capture decision making under such uncertainty, we model each player's risk preference according to the value function from prospect theory. We show the existence and uniqueness of a pure Nash equilibrium when the players have heterogeneous risk preferences and under certain assumptions on the rate of return and failure probability of the resource. Greater competition, vis-a-vis the number of players, increases the failure probability at the Nash equilibrium; we quantify this effect by obtaining bounds on the ratio of the failure probability at the Nash equilibrium to the failure probability under investment by a single user. We further show that heterogeneity in attitudes towards loss aversion leads to higher failure probability of the resource at the equilibrium.

Connected through hyperedge HE-1 (induced by source paper "cumulative prospect theory based dynamic pricing for shared mobility on demand services"):
  with members:
    - "integrating energy storage into the smart grid a prospect theoretic approach"

Connected through hyperedge HE-2 (induced by source paper "dynamic psychological game theory for secure internet of battlefield things iobt systems"):
  with members:
    - "dynamic connectivity game for adversarial internet of battlefield things systems"
    - "prospect theory for enhanced cyber physical security of drone delivery systems a network interdiction game"
    - "how much does users psychology matter in engineering mean field type games"
    - "caching in the sky proactive deployment of cache enabled unmanned aerial vehicles for optimized quality of experience"
    - "on bounded rationality in cyber physical systems security game theoretic analysis with application to smart grid protection"

Connected through hyperedge HE-3 (induced by source paper "controlling human utilization of failure prone systems via taxes"):
  with members:
    - "interdependent security games on networks under behavioral probability weighting"
    - "strategic communication between prospect theoretic agents over a gaussian test channel"
    - "prospect theory for enhanced smart grid resilience using distributed energy storage"
    - "modeling human decision making in generalized gaussian multi armed bandits"

Connected through hyperedge HE-4 (induced by source paper "interdependent security games on networks under behavioral probability weighting"):
  with members:
    - "interdependent security with strategic agents and cascades of infection"
    - "stochastic games for security in networks with interdependent nodes"
    - "decision and game theory for security"

Connected through hyperedge HE-5 (induced by source paper "game theoretic vaccination against networked sis epidemics and impacts of human decision making"):
  with members:
    - "game theoretic choice of curing rates against networked sis epidemics by human decision makers"
    - "designing virus resistant high performance networks a game formation approach"
    - "interdependent security games on networks under behavioral probability weighting"
    - "effects of degree correlations in interdependent security good or bad"
    - "prospect theory for enhanced cyber physical security of drone delivery systems a network interdiction game"
    - "analysis of exact and approximated epidemic models over complex networks"
    - "networked sis epidemics with awareness"
    - "disease dynamics on a network game a little empathy goes a long way"

Connected through hyperedge HE-6 (induced by source paper "smart routing of electric vehicles for load balancing in smart grids"):
  with members:
    - "optimal pricing to manage electric vehicles in coupled power and transportation networks"
    - "stochastic games for smart grid energy management with prospect prosumers"
    - "load shifting in the smart grid to participate or not"
    - "towards a consumer centric grid a behavioral perspective"
    - "charging games in networks of electrical vehicles"
    - "playing the wrong game smoothness bounds for congestion games with behavioral biases"

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.GT(Computer Science and Game Theory)