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: "on the value of penalties in time inconsistent planning"
  Abstract: People tend to behave inconsistently over time due to an inherent present bias. As this may impair performance, social and economic settings need to be adapted accordingly. Common tools to reduce the impact of time-inconsistent behavior are penalties and prohibition. Such tools are called commitment devices. In recent work Kleinberg and Oren connect the design of prohibition-based commitment devices to a combinatorial problem in which edges are removed from a task graph $G$ with $n$ nodes. However, this problem is NP-hard to approximate within a ratio less than $\sqrt{n}/3$. To address this issue, we propose a penalty-based commitment device that does not delete edges but raises their cost. The benefits of our approach are twofold. On the conceptual side, we show that penalties are up to $1/\beta$ times more efficient than prohibition, where $\beta \in (0,1]$ parameterizes the present bias. On the computational side, we significantly improve approximability by presenting a $2$-approximation algorithm for allocating the penalties. To complement this result, we prove that optimal penalties are NP-hard to approximate within a ratio of $1.08192$.

Connected through hyperedge HE-1 (induced by source paper "time inconsistent planning simple motivation is hard to find"):
  with members:
    - "planning with multiple biases"
    - "the price of uncertainty in present biased planning"
    - "motivating time inconsistent agents a computational approach"
    - "planning problems for sophisticated agents with present bias"
    - "time inconsistent planning a computational problem in behavioral economics"

Connected through hyperedge HE-2 (induced by source paper "monopoly pricing with buyer search"):
  with members:
    - "planning with multiple biases"
    - "revenue gaps for discriminatory and anonymous sequential posted pricing"
    - "the menu size complexity of revenue approximation"
    - "efficient empirical revenue maximization in single parameter auction environments"
    - "sampling and representation complexity of revenue maximization"
    - "time inconsistent planning a computational problem in behavioral economics"
    - "on the complexity of dynamic mechanism design"
    - "combinatorial auctions via posted prices"

Connected through hyperedge HE-3 (induced by source paper "combinatorial auctions with endowment effect"):
  with members:
    - "the communication complexity of local search"
    - "planning with multiple biases"
    - "the price of uncertainty in present biased planning"
    - "motivating time inconsistent agents a computational approach"
    - "procrastination with variable present bias"
    - "planning problems for sophisticated agents with present bias"
    - "computational issues in time inconsistent planning"
    - "time inconsistent planning a computational problem in behavioral economics"

Connected through hyperedge HE-4 (induced by source paper "the price of uncertainty in present biased planning"):
  with members:
    - "planning with multiple biases"
    - "motivating time inconsistent agents a computational approach"
    - "procrastination with variable present bias"
    - "planning problems for sophisticated agents with present bias"
    - "time inconsistent planning a computational problem in behavioral economics"

Connected through hyperedge HE-5 (induced by source paper "motivating time inconsistent agents a computational approach"):
  with members:
    - "planning with multiple biases"
    - "the price of uncertainty in present biased planning"
    - "procrastination with variable present bias"
    - "planning problems for sophisticated agents with present bias"
    - "computational issues in time inconsistent planning"
    - "time inconsistent planning a computational problem in behavioral economics"

Connected through hyperedge HE-6 (induced by source paper "time inconsistent planning a computational problem in behavioral economics"):
  with members:
    - "planning with multiple biases"
    - "motivating time inconsistent agents a computational approach"
    - "procrastination with variable present bias"
    - "planning problems for sophisticated agents with present bias"
    - "computational issues in time inconsistent planning"

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.DS(Data Structures and Algorithms)