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 "symbol emergence as an interpersonal multimodal categorization"):
  Abstract: This study focuses on category formation for individual agents and the dynamics of symbol emergence in a multi-agent system through semiotic communication. Semiotic communication is defined, in this study, as the generation and interpretation of signs associated with the categories formed through the agent's own sensory experience or by exchange of signs with other agents. From the viewpoint of language evolution and symbol emergence, organization of a symbol system in a multi-agent system is considered as a bottom-up and dynamic process, where individual agents share the meaning of signs and categorize sensory experience. A constructive computational model can explain the mutual dependency of the two processes and has mathematical support that guarantees a symbol system's emergence and sharing within the multi-agent system. In this paper, we describe a new computational model that represents symbol emergence in a two-agent system based on a probabilistic generative model for multimodal categorization. It models semiotic communication via a probabilistic rejection based on the receiver's own belief. We have found that the dynamics by which cognitively independent agents create a symbol system through their semiotic communication can be regarded as the inference process of a hidden variable in an interpersonal multimodal categorizer, if we define the rejection probability based on the Metropolis-Hastings algorithm. The validity of the proposed model and algorithm for symbol emergence is also verified in an experiment with two agents observing daily objects in the real-world environment. The experimental results demonstrate that our model reproduces the phenomena of symbol emergence, which does not require a teacher who would know a pre-existing symbol system. Instead, the multi-agent system can form and use a symbol system without having pre-existing categories.

Includes members:
  Member "emergent linguistic phenomena in multi agent communication games":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the interaction between supervision and self play in emergent communication")
  Member "online spatial concept and lexical acquisition with simultaneous localization and mapping":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "spatial concept based navigation with human speech instructions via probabilistic inference on bayesian generative model")
  Member "serket an architecture for connecting stochastic models to realize a large scale cognitive model":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "neuro serket development of integrative cognitive system through the composition of deep probabilistic generative models")
  Member "emergent translation in multi agent communication":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "multi step retriever reader interaction for scalable open domain question answering")
  Member "spatial concept acquisition for a mobile robot that integrates self localization and unsupervised word discovery from spoken sentences":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "spatial concept based navigation with human speech instructions via probabilistic inference on bayesian generative model")
  Member "sensorimotor input as a language generalisation tool a neurorobotics model for generation and generalisation of noun verb combinations with sensorimotor inputs":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "afa prednet the action modulation within predictive coding")
  Member "multi agent cooperation and the emergence of natural language":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the hanabi challenge a new frontier for ai research")
  Member "symbol emergence in robotics a survey":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "spatial concept based navigation with human speech instructions via probabilistic inference on bayesian generative model")

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.CL(Computation and Language)