Complexity approaches, developed in physics and biology for almost two decades, show today a huge potential for investigating challenging issues in Humanities and Cognitive Sciences and obviously in the study of language(s). Theoretical approaches that integrate self-organization, emergence, non linearity, adaptive systems, information theory, etc., have already been developed to provide a unifying framework that sheds new light on the duality between linguistic diversity on the one hand and unique cognitive capacity of language processing on the other hand. Nevertheless, most of the linguistics literature written in this framework focuses on the syntactic level addressed through computational complexity or performance optimization, while other linguistic components have been somewhat neglected. In this context, the proposed volume draws on an interdisciplinary sketch of the phonetics-phonology interface in the light of complexity. Composed of several first-order contributions, it will consequently be a significant landmark at the time of the rise of several projects linking complexity and linguistics around the world.

The question of complexity, as in what makes one language more 'complex' than another, is a long-established topic of debate amongst linguists. Recently, this issue has been complemented with the view that languages are complex adaptive systems, in which emergence and self-organization play major roles. However, few students of the phenomenon have gone beyond the basic assessment of the number of units and rules in a language (what has been characterized as 'bit complexity') or shown some familiarity with the science of complexity. This book reveals how much can be learned by overcoming these limitations, especially by adopting developmental and evolutionary perspectives. The contributors include specialists of language acquisition, evolution and ecology, grammaticization, phonology, and modeling, all of whom approach languages as dynamical, emergent, and adaptive complex systems.

The question of complexity, as in what makes one language more 'complex' than another, is a long-established topic of debate amongst linguists. Recently, this issue has been complemented with the view that languages are complex adaptive systems, in which emergence and self-organization play major roles. However, few students of the phenomenon have gone beyond the basic assessment of the number of units and rules in a language (what has been characterized as 'bit complexity') or shown some familiarity with the science of complexity. This book reveals how much can be learned by overcoming these limitations, especially by adopting developmental and evolutionary perspectives. The contributors include specialists of language acquisition, evolution and ecology, grammaticization, phonology, and modeling, all of whom approach languages as dynamical, emergent, and adaptive complex systems.