Simulating The Evolution Of Language

This book is the first to provide a comprehensive survey of the computational models and methodologies used for studying the evolution and origin of language and communication. Comprising contributions from the most influential figures in the field, it presents and summarises the state-of-the-art in computational approaches to language evolution, and highlights new lines of development. Essential reading for researchers and students in the fields of evolutionary and adaptive systems, language evolution modelling and linguistics, it will also be of interest to researchers working on applications of neural networks to language problems. Furthermore, due to the fact that language evolution models use multi-agent methodologies, it will also be of great interest to computer scientists working on multi-agent systems, robotics and internet agents.

This volume comprises refereed papers and abstracts of the 10th International Conference on the Evolution of Language (EVOLANGX), held in Vienna on 14–17th April 2014. As the leading international conference in the field, the biennial EVOLANG meeting is characterised by an invigorating, multidisciplinary approach to the origins and evolution of human language, and brings together researchers from many subject areas, including anthropology, archaeology, biology, cognitive science, computer science, genetics, linguistics, neuroscience, palaeontology, primatology and psychology. For this 10th conference, the proceedings will include a special perspectives section featuring prominent researchers reflecting on the history of the conference and its impact on the field of language evolution since the inaugural EVOLANG conference in 1996. Contents:Diachronic Processes in Language as Signaling Under Conflicting Interests (Christopher Ahern and Robin Clark)Syntactic Development in Phenotypic Space (Lluís Barceló-Coblijn and Antoni Gomila Benejam)Linguistic Animals: Understanding Language Through a Comparative Approach (Piera Filippi)Social Interaction Influences the Evolution of Cognitive Biases for Language (Seán G Roberts, Bill Thompson and Kenny Smith)Symbol Extension and Meaning Generation in Cultural Evolution for Displaced Communication (Kaori Tamura and Takashi Hashimoto)The Origins of Combinatorial Communication (Richard A Blythe and Thomas C Scott-Phillips)Social Origins of Rhythm? Synchrony and Temporal Regularity in Human Vocalization (Daniel L Bowling, Christian T Herbst and W Tecumseh Fitch)The Effect of Pitch Enhancement on Spoken Language Acquisition (Piera Filippi, Bruno Gingras and W Tecumseh Fitch)Bow-and-Arrow Technology: Mapping Human Cognition and Perhaps Language Evolution (Alexandra Regina Kratschmer, Miriam Noël Haidle and Marlize Lombard)The Cognitive Underspinnings of Metaphor as the Driving Force of Language Evolution (Andrew D M Smith and Stefan H Höfler)Model Fitting and Prediction for Language Evolution (Bill Thompson and Vanessa Ferdinand)and other papers Readership: Graduate students, academics and researchers working on the evolution of language, artificial intelligence, genetics and psychology. Key Features:Keywords:Evolution;Language;Evolang;Origin;Protolanguage

This volume comprises refereed papers and abstracts from the 6th International Conference on the Evolution of Language (EVOLANG6). The biennial EVOLANG conference focuses on the origins and evolution of human language, and brings together researchers from many disciplines including anthropology, archaeology, artificial life, biology, cognitive science, computer science, ethology, genetics, linguistics, neuroscience, palaeontology, primatology, and psychology.The collection presents the latest theoretical, experimental and modeling research on language evolution, and includes contributions from the leading scientists in the field, including T Fitch, V Gallese, S Mithen, D Parisi, A Piazza & L Cavali Sforza, R Seyfarth & D Cheney, L Steels, L Talmy and M Tomasello.

This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).

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.

One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to problems. These systems utilize a search space and algorithms in order to reach a solution. Artificial Intelligence for Advanced Problem Solving Techniques offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques.