Explores a new approach to studying language as a complex adaptive system, illustrating its commonalities across many areas of language research Brings together a team of leading researchers in linguistics, psychology, and complex systems to discuss the groundbreaking significance of this perspective for their work Illustrates its application across a variety of subfields, including languages usage, language evolution, language structure, and first and second language acquisition "What a breath of fresh air! As interesting a collection of papers as you are likely to find on the evolution, learning, and use of language from the point of view of both cognitive underpinnings and communicative functions." Michael Tomasello, Max Planck Institute for Evolutionary Anthropology

The ASLAN labex - Advanced studies on language complexity - brings together a unique set of expertise and varied points of view on language. In this volume, we employ three main sections showcasing diverse empirical work to illustrate how language within human interaction is a complex and adaptive system. The first section – epistemological views on complexity – pleads for epistemological plurality, an end to dichotomies, and proposes different ways to connect and translate between frameworks. The second section – complexity, pragmatics and discourse – focuses on discourse practices at different levels of description. Other semiotic systems, in addition to language are mobilized, but also interlocutors’ perception, memory and understanding of culture. The third section – complexity, interaction, and multimodality – employs different disciplinary frameworks to weave between micro, meso, and macro levels of analyses. Our specific contributions include adding elements to and extending the field of application of the models proposed by others through new examples of emergence, interplay of heterogeneous elements, intrinsic diversity, feedback, novelty, self-organization, adaptation, multi-dimensionality, indeterminism, and collective control with distributed emergence. Finally, we argue for a change in vantage point regarding the search for linguistic universals.

The ASLAN labex - Advanced studies on language complexity - brings together a unique set of expertise and varied points of view on language. In this volume, we employ three main sections showcasing diverse empirical work to illustrate how language within human interaction is a complex and adaptive system. The first section — epistemological views on complexity — pleads for epistemological plurality, an end to dichotomies, and proposes different ways to connect and translate between frameworks. The second section — complexity, pragmatics and discourse — focuses on discourse practices at different levels of description. Other semiotic systems, in addition to language are mobilized, but also interlocutors’ perception, memory and understanding of culture. The third section — complexity, interaction, and multimodality — employs different disciplinary frameworks to weave between micro, meso, and macro levels of analyses. Our specific contributions include adding elements to and extending the field of application of the models proposed by others through new examples of emergence, interplay of heterogeneous elements, intrinsic diversity, feedback, novelty, self-organization, adaptation, multi-dimensionality, indeterminism, and collective control with distributed emergence. Finally, we argue for a change in vantage point regarding the search for linguistic universals.

This book constitutes the refereed proceedings of the 6th International Conference on Parallel Problem Solving from Nature, PPSN VI, held in Paris, France in September 2000. The 87 revised full papers presented together with two invited papers were carefully reviewed and selected from 168 submissions. The presentations are organized in topical sections on analysis and theory of evolutionary algorithms, genetic programming, scheduling, representations and operators, co-evolution, constraint handling techniques, noisy and non-stationary environments, combinatorial optimization, applications, machine learning and classifier systems, new algorithms and metaphors, and multiobjective optimization.

An overarching framework for comparing and steering complex adaptive systems is developed through understanding the mechanisms that generate their intricate signal/boundary hierarchies.

​This book emerged out of international conferences organized as part of the AAAI Fall Symposia series, and the Swarmfest 2017 conference. It brings together researchers from diverse fields studying these complex systems using CAS and agent-based modeling tools and techniques. In the past, the knowledge gained in each domain has largely remained exclusive to that domain. By bringing together scholars who study these phenomena, the book takes knowledge from one domain to provide insight into others. Most interesting phenomena in natural and social systems include constant transitions and oscillations among their various phases – wars, companies, societies, markets, and humans rarely stay in a stable, predictable state for long. Randomness, power laws, and human behavior ensure that the future is both unknown and challenging. How do events unfold? When do they take hold? Why do some initial events cause an avalanche while others do not? What characterizes these events? What are the thresholds that differentiate a sea change from a non-event? Complex adaptive systems (CAS) have proven to be a powerful tool for exploring these and other related phenomena. The authors characterize a general CAS model as having a large number of self-similar agents that: 1) utilize one or more levels of feedback; 2) exhibit emergent properties and self-organization; and 3) produce non-linear dynamic behavior. Advances in modeling and computing technology have led not only to a deeper understanding of complex systems in many areas, but they have also raised the possibility that similar fundamental principles may be at work across these systems, even though the underlying principles may manifest themselves differently.

In this very short introduction, John Holland presents an introduction to the science of complexity. Using examples from biology and economics, he shows how complexity science models the behaviour of complex systems.