Simplistic Complexity

ACMES (Algorithms and Complexity in Mathematics, Epistemology, and Science) is a multidisciplinary conference series that focuses on epistemological and mathematical issues relating to computation in

This book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its pur

This book examines rural tourism across three different contexts, acknowledging the complexity of rural places. It applies a systematic comparative framework across nine case studies from Australia, C

This book describes for the first time the complexity of the Northeastern Transbaikalia province of Russia. This province is one of the largest Early Proterozoic metallogenic provinces on Earth. It co

This book presents state of the art biophysical approaches to issues in glycobiology that have cutting-edge applications. Despite the importance of glycosylation, the complexity, heterogeneity, and fl

This authored brief discusses how to conceptualize the socio-material complexity of contested energy spaces in the Canadian North, specifically in the context of indigenous communities that have

Around the globe, there is an increasingly urgent need to provide opportunities for learners to embrace complexity; to develop the many skills and habits of mind that are relevant to today's complex a

The main focus of this book is to help better understand the multidimensionality and complexity of population displacement and the role that reconstruction and recovery knowledge and practice play in

The book analyses the landscape as a geosystem in all its complexity (from the abiotic environment, and land use to socio-economic character) as an integrated natural resource, as society’s life space

Ecology studies biodiversity in its variety and complexity. It describes how species distribute and perform in response to environmental changes. Ecological processes and structures are highly complex

This text demonstrates the process of comprehensive applied mathematical modeling through the introduction of various case studies. The case studies are arranged in increasing order of complexity bas

This book provides an overview of multiple aspects of spatial language understanding and explores recent trends of modeling based on very large foundational models and their applications. The authors address the following five main themes: spatial semantic representations in both symbolic and sub-symbolic spaces; spatial information extraction computational models; reasoning over spatial language; commonsense spatial understanding; and multiple modern and state-of-the-art downstream applications of spatial language understanding including dialogue systems, narrative discourse, and grounding language in the physical world with the multi-modal problem settings. One of the essential functions of natural language is to express spatial relationships between objects. Linguistic constructs can encode highly complex structures of objects, spatial relations between them, and patterns of motion through space relative to a reference point. The complexity of spatial language understanding and its

This volume of the Encyclopedia of Complexity and Systems Science, Second Edition, focuses on current challenges in the field from materials and mechanics to applications of statistical and nonlinear physics in the life sciences. Challenges today are mostly in the realm of non-equilibrium systems, although certain equilibrium systems also present serious hurdles. Where possible, pairwise articles focus on a single topic, one from a theoretical perspective and the other from an experimental one, providing valuable insights. In other cases, theorists and experimentalists have collaborated on a single article. Coverage includes both quantum and classical systems, and emphasizes 1) mature fields that are not covered in the current specialist literature, (2) topics that fall through the cracks in disciplinary journals/books, or (3) developing areas where the knowledge base is large and robust and upon which future developments will depend. The result is an invaluable resource for condensed