"The story of how ordinary Andean men and women maintained their family and community lives in the shadow of Colonial Ecuador's leading textile mill"--Provided by publisher.

Records one woman's response to pioneer life in Texas at the turn of the century.

Even before the deep learning revolution, the landscape of artificial intelligence (AI) was already changing drastically in the 90s. Embodied intelligence, it was proposed, must play a crucial role in the design of intelligent machines. This new wave was inspired by what is today known as Embodied and Enactive Cognitive Science or E-Cognition, which considers that cognitive activity does not reduce to the intellectual capacities of agents being able to represent their environments. E-cognition set AI and robotics in a new direction, in which intelligent machines are required to interact with the environment, and where this interaction does not reduce to explicit representations or prespecified algorithms. These ideas revolutionized the way we think about intelligent machines and cognition, but these theoretical advances are only partially reflected in modern approaches to AI and machine learning (ML). Despite deeply impressive achievements, AI/ML still struggles to recapitulate the kinds of intelligence we find in natural systems, whether we are considering individual insects (e.g. simultaneous localization and mapping), or swarm behaviour (e.g. forum sensing and ensemble inferences), and especially the kinds of flexibility and high-level reasoning characteristic of human cognition.

Published in conjunction with an exhibition held at The Metropolitan Museum of Art, New York, Sept. 16, 2013-Jan. 5, 2014.

The Genetics of Altruism covers the primary findings on social evolution, social trait, and altruism from a population genetics standpoint to establish a system of genetic boxes. It presents an evolutionary question with two faces: Why are there so many social species? Why, in all the diversity of the animal kingdom, are the social species so few? To address the evolutionary question, this book focuses on recognition of the fact that on an evolutionary time, scale genetics must underlie all changes in the capacity for social structure and other aspects of organic evolution. It presents comparative analyses framed in mathematical terms; mathematical concepts as a means of getting outside human, perhaps more generally primate and carnivore; frames of reference; and alternative network combinatorics as a natural basis for comparing social structures that are phylogenetically remote. It also discusses the comparative biology of social behavior on a purely descriptive basis through the social and evolutionary structures emergent. The book concludes by discussing major evolutionary pathways, various kinds of preadaptedness for sociality, and the use of cascade principle to suggest ways in which human evolution may have been a special case. This book is a valuable resource for biologists, social scientists, researchers, students, and all those who want to broaden their knowledge in the field of social behavior and altruism.

Formerly published by Chicago Business Press, now published by Sage Since strategy, organizational capabilities, and people management are increasingly intertwined in multinational firms The Global Challenge takes a general management perspective on the issues associated with international human resources. Each chapter in this book is a stand-alone guide to a particular aspect of international human resource management (HRM) – from the history and overview of international human resource management in the first chapter to the functional implications for human resource professionals in the last, from building multinational coordination to managing the human side of cross-border acquisitions. The authors build on the traditional agenda of international human resource management—how to respond to cultural and institutional differences, manage cross-border mobility, and develop global leaders. This new edition contains the latest advances from research and practice.