Description
Book SynopsisChapter 1 Introduction.- Part I: Foundations of Symbol Emergence Systems.- Chapter 2 Symbol Emergence Systems — Toward a World Where Humans and AI Co-Discover Meaning.- Chapter 3 Semiotics and Semiology — Two Perspectives on Capturing Meaning.- Chapter 4 Pragmatism — What Is the Meaning of Symbols?.- Chapter 5 Uexküll's Theory of Umwelt — The Worlds as Seen by Living Beings.- Chapter 6 Developmental Psychology and Constructivism: From Piaget to Contemporary Theory.- Chapter 7 Neo-Cybernetics and Information — What Is Information?.- Part II: Symbol Emergence in Robotics.- Chapter 8 Symbol Emergence in Robotics — A Constructive Approach to Overcoming the Symbol Grounding Problem.- Chapter 9 Language Acquisition — Statistical Learning and Social Cognitive Skills.- Chapter 10 Vocabulary Acquisition by Robots — Modeling Vocabulary Learning Using Probabilistic Generative Models.- Chapter 11 Probabilistic Generative Models — Foundational Theory for Cognitive Modeling Based on Bayesian Inference.- Chapter 12 Multimodal Object Concept Formation — Concept Modeling Based on Probabilistic Models.- Chapter 13 Multimodal Spatial Concept Formation — Spatial Cognition and Semantics for Mobile Robots.- Part III: Cognitive Development in the Environment.- Chapter 14 Cognitive Developmental Robotics — A Constructive Approach to Understanding and Designing Cognitive Development.- Chapter 15 Free-Energy Principle and Predictive Coding – A Computational TheoryExplaining Various Brain Functions.- Chapter 16 Curiosity and Exploration —Why Do We Want to Learn?.- Chapter 17 Emotion and Predictive Processing — How Are Emotions Made?.- Chapter 18 Neurorobotics — Controlling Robots with Neural Systems.- Chapter 19 Deep Learning and Representation Learning — Foundational Theories Underpinning Modern AI.- Chapter 20 World Models — Agents That Learn About the World from Subjective Experience.- Part IV: Embodiment, Mind, and Consciousness.- Chapter 21 Embodiment and the Emergence of Intelligence— From Embodied Cognitive Science to Soft Robotics.- Chapter 22 Enactivism—Cognition as Non-representational, Embodied Action.- Chapter 23 Phenomenology — Philosophical Thinking Based on Appearance and Experience.- Chapter 24 Consciousness and Qualia— How Do Consciousness and Symbols Relate?.- Chapter 25 AI Robot Society — Coexisting with Robots Using Symbols.- Part V: Dynamics of Culture, Norms, and Language.- Chapter 26 Cultural Psychology and Semiosphere— Capturing the Tension Between Micro and Macro.- Chapter 27 The Evolution and Emergence of Language ?How Did Humans Acquire Language?.- Chapter 28 Large Language Models and Distributional Semantics — Do Large Language Models Understand Language?.- Chapter 29 Multimodal Language Education — Pragmatic Interaction with the Environment.- Chapter 30 Emerging Ethics—The Future of Ethics from the Symbol Emergence Systems Perspective.- Chapter 31 The Legal System and Symbol Emergence — The Reciprocal Relationship Between Humans and Symbols.- Part VI: Symbol Emergence Systems and Beyond.- Chapter 32 Language in the Era of Generative AI — Insights from Large Language Models.- Chapter 33 Constructive Approaches to Symbol Emergence Systems — Probabilistic Generative Models and Language Games.- Chapter 34 The Collective Predictive Coding Hypothesis — If Language Exists to Help Us Predict the World.- Chapter 35 Three-Layered Model of Social Intelligence — Collective Intelligence in Symbol Emergence Systems and Temporal Dynamics.- Chapter 36 Toward a Symbiotic Society with Generative AI — For Living Together into the Future.
