Emergence of Communication and Language

1. Front Matter

   Pages i-xI

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2. Introduction

   1. Front Matter

      Pages 1-1

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   2. Introduction

      • Chrystopher L. Nehaniv, Caroline Lyon, Angelo Cangelosi

      Pages 1-27

3. Empirical Investigations on Human Language

   1. Front Matter

      Pages 28-28

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   2. Evolving Meaning: The Roles of Kin Selection, Allomothering and Paternal Care in Language Evolution

      • W. Tecumseh Fitch

      Pages 29-51

   3. ‘Needs only’ Analysis in Linguistic Ontogeny and Phylogeny

      • Alison Wray

      Pages 53-70

   4. Clues from Information Theory Indicating a Phased Emergence of Grammar

      • Caroline Lyon, Chrystopher L. Nehaniv, Bob Dickerson

      Pages 71-85

   5. Emergence of a Communication System: International Sign

      • Rachel Rosenstock

      Pages 87-103

   6. Distributed Language: Biomechanics, Functions, and the Origins of Talk

      • Stephen J. Cowley

      Pages 105-127

4. Synthesis of Communication and Language in Artificial Systems

   1. Front Matter

      Pages 128-128

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   2. The Recruitment Theory of Language Origins

      • Luc Steels

      Pages 129-150

   3. In silico Evolutionary Developmental Neurobiology and the Origin of Natural Language

      • Eörs Szathmáry, Zoltán Szathmáry, Péter Ittzés, GeroŐ Orbaán, István Zachár, Ferenc Huszár et al.

      Pages 151-187

   4. Communication in Natural and Artificial Organisms: Experiments in Evolutionary Robotics

      • Davide Marocco, Stefano Nolfi

      Pages 189-205

   5. From Vocal Replication to Shared Combinatorial Speech Codes: A Small Step for Evolution, A Big Step for Language

      • Pierre-Yves Oudeyer

      Pages 207-221

   6. Learning and Transition of Symbols: Towards a Dynamical Model of a Symbolic Individual

      • Takashi Hashimoto, Akira Masumi

      Pages 223-236

   7. Language Change among ‘Memoryless Learners’ Simulated in Language Dynamics Equations

      • Makoto Nakamura, Takashi Hashimoto, Satoshi Tojo

      Pages 237-252

   8. The Evolution of Meaning-Space Structure through Iterated Learning

      • Simon Kirby

      Pages 253-267

   9. The Emergence of Language: How to Simulate It

      • Domenico Parisi, Marco Mirolli

      Pages 269-285

   10. Lexical Acquisition with and without Metacommunication

       • Jonathan Ginzburg, Zoran Macura*

       Pages 287-303

   11. Agent Based Modelling of Communication Costs: Why Information Can Be Free

       • Ivana Čače, Joanna J. Bryson

       Pages 305-321

Current Work and Open Problems: A Road-Map for Research into the Emergence of Communication and Language Chrystopher L. Nehaniv, Caroline Lyon, and Angelo Cangelosi 1.1. Introduction This book brings together work on the emergence of communication and language from researchers working in a broad array of scientific paradigms in North America, Europe, Japan and Africa. We hope that its multi-disciplinary approach will encourage cross-fertilization and promote further advances in this active research field. The volume draws on diverse disciplines, including linguistics, psychology, neuroscience, ethology, anthropology, robotics, and computer science. Computational simulations of the emergence of phenomena associated with communication and language play a key role in illuminating some of the most significant issues, and the renewed scientific interest in language emergence has benefited greatly from research in Artificial Intelligence and Cognitive Science. The book starts with this road map chapter by the editors, pointing to the ways in which disparate disciplines can inform and stimulate each other. It examines the role of simulations as a novel way to express theories in science, and their contribution to the development of a new approach to the study of the emergence of communication and language. We will also discuss and collect the most promising directions and grand challenge problems for future research. The present volume, is organized into three parts: I. Empirical Investi- tions on Human Language, II. Synthesis and Simulation of Communication and Language in Artificial Systems, and III. Insights from Animal Communication.

• Computational modelling
• Evolution
• Intelligent agents
• Language
• Linguistic communication
• agents
• artificial intelligence
• cognition
• learning
• linguistics
• modeling
• natural language
• robot
• robotics
• speech recognition

• School of Computer Science, University of Hertfordshire, Hatfield, UK

  Caroline Lyon, Chrystopher L. Nehaniv

• School of Computing Communications and Electronics, University of Plymouth, Plymouth, UK

  Angelo Cangelosi

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