mlsanityData to 7 Oct 2026

Symbol Emergence in Cognitive Developmental Systems: a Survey

arXiv 1801.08829 ↗First posted 26 Jan 2018cs.AI cs.ROcited by 39

Not on the map. Why?

Abstract (arXiv)

Humans use signs, e.g., sentences in a spoken language, for communication and thought. Hence, symbol systems like language are crucial for our communication with other agents and adaptation to our real-world environment. The symbol systems we use in our human society adaptively and dynamically change over time. In the context of artificial intelligence (AI) and cognitive systems, the symbol grounding problem has been regarded as one of the central problems related to it symbols. However, the symbol grounding problem was originally posed to connect symbolic AI and sensorimotor information and did not consider many interdisciplinary phenomena in human communication and dynamic symbol systems in our society, which semiotics considered. In this paper, we focus on the symbol emergence problem, addressing not only cognitive dynamics but also the dynamics of symbol systems in society, rather than the symbol grounding problem. We first introduce the notion of a symbol in semiotics from the humanities, to leave the very narrow idea of symbols in symbolic AI. Furthermore, over the years, it became more and more clear that symbol emergence has to be regarded as a multifaceted problem. Therefore, secondly, we review the history of the symbol emergence problem in different fields, including both biological and artificial systems, showing their mutual relations. We summarize the discussion and provide an integrative viewpoint and comprehensive overview of symbol emergence in cognitive systems. Additionally, we describe the challenges facing the creation of cognitive systems that can be part of symbol emergence systems.

Key facts. Cited by 39 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Jan 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 12; 2022: 5; 2023: 13; 2024: 3; 2025: 5; 2026: 1.

39 papers.

Sort:

By area:

  1. 2021From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligencecited by 35
  2. 2023World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challengescited by 35
  3. 2021Symbolic Behaviour in Artificial Intelligencecited by 24
  4. 2022Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Modelscited by 16
  5. 2024Generative Emergent Communication: Large Language Model is a Collective World Modelcited by 15
  6. 2021Multiagent Multimodal Categorization for Symbol Emergence: Emergent Communication via Interpersonal Cross-modal Inferencecited by 10
  7. 2021Symbol Emergence and The Solutions to Any Taskcited by 9
  8. 2021Philosophical Specification of Empathetic Ethical Artificial Intelligencecited by 8
  9. 2023Recursive Metropolis-Hastings Naming Game: Symbol Emergence in a Multi-agent System based on Probabilistic Generative Modelscited by 8
  10. 2021Compression, The Fermi Paradox and Artificial Super-Intelligencecited by 7
  11. 2022Computable Artificial General Intelligencecited by 6
  12. 2023Goal Space Abstraction in Hierarchical Reinforcement Learning via Set-Based Reachability Analysiscited by 6
27 more
  1. 2026Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understandingcited by 6
  2. 2021Hippocampal formation-inspired probabilistic generative modelcited by 5
  3. 2023Metropolis-Hastings algorithm in joint-attention naming game: Experimental semiotics studycited by 5
  4. 2024Constructive Approach to Bidirectional Influence between Qualia Structure and Language Emergencecited by 5
  5. 2021A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robotscited by 4
  6. 2021The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligencecited by 3
  7. 2023Discovering Predictive Relational Object Symbols with Symbolic Attentive Layerscited by 3
  8. 2021Intensional Artificial Intelligence: From Symbol Emergence to Explainable and Empathetic AIcited by 2
  9. 2021High-level Features for Resource Economy and Fast Learning in Skill Transfercited by 2
  10. 2022Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formationcited by 2
  11. 2023Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minimacited by 2
  12. 2023Emergence of Symbols in Neural Networks for Semantic Understanding and Communicationcited by 2
  13. 2023Learning Type-Generalized Actions for Symbolic Planningcited by 2
  14. 2023Multi-Object Graph Affordance Network: Goal-Oriented Planning through Learned Compound Object Affordancescited by 2
  15. 2025System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systemscited by 2
  16. 2021Bootstrapping Concept Formation in Small Neural Networkscited by 1
  17. 2022Hierarchical Path-planning from Speech Instructions with Spatial Concept-based Topometric Semantic Mappingcited by 1
  18. 2023Bridging Neural and Symbolic Representations with Transitional Dictionary Learningcited by 1
  19. 2023From the Pursuit of Universal AGI Architecture to Systematic Approach to Heterogenous AGI: Addressing Alignment, Energy, & AGI Grand Challengescited by 1
  20. 2024SimSiam Naming Game: A Unified Approach for Emergent Communication and Representation Learningcited by 1
  21. 2022Kernel Based Cognitive Architecture for Autonomous Agentscited by 0
  22. 2023Symbol emergence as interpersonal cross-situational learning: the emergence of lexical knowledge with combinatorialitycited by 0
  23. 2023Goal Space Abstraction in Hierarchical Reinforcement Learning via Reachability Analysiscited by 0
  24. 2025Co-Creative Learning via Metropolis-Hastings Interaction between Humans and AIcited by 0
  25. 2025Beyond Individuals: Collective Predictive Coding for Memory, Attention, and the Emergence of Languagecited by 0
  26. 2025Curiosity-Driven Development of Action and Language in Robots Through Self-Explorationcited by 0
  27. 2025Can LLMs Translate Human Instructions into a Reinforcement Learning Agent's Internal Emergent Symbolic Representation?cited by 0