Ever since the origins of both linguistics and evolutionary biology in the 19th century, scholars have noted the similarity between biological evolution and language change. Yet until recently neither linguists nor biologists have developed a model of evolution to apply across the two fields. Explaining Language Change presents the first integrated theory of all aspects of lang...(展开全部)

Through eight successful editions, and over nearly 40 years, Biogeography: An Ecological and Evolutionary Approach has provided a thorough and comprehensive exploration of the varied scientific disciplines and research that are essential to understanding the subject. The text has been praised for its solid background in historical biogeography and basic biology, that is enhance...(展开全部)

In this forcefully argued book, the leading evolutionary theorist of language draws on evidence from evolutionary biology, genetics, physical anthropology, anatomy, and neuroscience, to provide a framework for studying the evolution of human language and cognition. </p> Philip Lieberman argues forcibly that the widely influential theories of language's development, adv...(展开全部)

"This fourth edition of the book is completely revised and updated. It incorporates the updated International Code of Nomenclature for Algae, Fungi and Plants (Shenzhen Code, 2018), the new version of PhyloCode (Beta version of Phylocode 5, 2014), APweb version 14 (September, 2018), revised Angiosperm Phylogeny Group classification (APG IV, 2016), new Pteridophyte Phylogeny Gro...(展开全部)

This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. It avoids mathematical argumentation, often a stumbling block for students, teaching algorithmic thought rather than proofs and logic. This approach allows the student to learn a large number of algorithms within ...(展开全部)

Most applications in distributed computing center around a set of common subproblems. Distributed Systems: An Algorithmic Approach presents the algorithmic issues and necessary background theory that are needed to properly understand these challenges.

This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. It avoids mathematical argumentation, often a stumbling block for students, teaching algorithmic thought rather than proofs and logic. This approach allows the student to learn a large number of algorithms within ...(展开全部)