This book explains the role of human behavior research, from both a historical and modern perspective, in improving objective, measurable performance outcomes to include safety, strategic decision making, and organizational performance. The book builds upon empirically supported foundations of human cognition, but with a focus on applying this knowledge in a manner that can improve human decision-making to enhance safety and performance. It includes explanations of how the human mind processes information, including differences in novice versus expert information processing, and tools to combat various cognitive biases. Explained within the framework of complex adaptive systems, this book builds upon resources developed through the author’s years of combined applied research and graduate teaching and includes chapters on the roles of uncertainty and complexity within scientific research. Finally, the book offers tools that are rooted in empirical research and demonstrated within the context of contemporary, real-world scenarios, with a focus on improving organizational effectiveness through improved strategic decision making and the development of learning cultures within organizations.

An argument that representational decision making is more cognitively efficient, allowing an organism to adjust more easily to changes in the environment. Many organisms (including humans) make decisions by relying on mental representations. Not simply a reaction triggered by perception, representational decision making employs high-level, non-perceptual mental states with content to manage interactions with the environment. A person making a decision based on mental representations, for example, takes a step back from her perceptions at the time to assess the nature of the world she lives in. But why would organisms rely on representational decision making, and what evolutionary benefits does this reliance provide to the decision maker? In Efficient Cognition, Armin Schulz argues that representational decision making can be more cognitively efficient than non-representational decision making. Specifically, he shows that a key driver in the evolution of representational decision making is that mental representations can enable an organism to save cognitive resources and adjust more efficiently to changed environments. After laying out the foundations of his argument—clarifying the central questions, the characterization of representational decision making, and the relevance of an evidential form of evolutionary psychology—Schulz presents his account of the evolution of representational decision making and critically considers some of the existing accounts of the subject. He then applies his account to three open questions concerning the nature of representational decision making: the extendedness of decision making, and when we should expect cognition to extend into the environment; the specialization of decision making and the use of simple heuristics; and the psychological sources of altruistic behaviors.

This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

"This book presents an application and demonstration of a new mathematical technique for descriptions of complex systems"--Provided by publisher.

Although still true to its original focus on the person-machine interface, the field of human factors psychology (ergonomics) has expanded to include stress research, accident analysis and prevention, and nonlinear dynamical systems theory (how systems change over time), human group dynamics, and environmental psychology. Reflecting new development

“Intertwines history, philosophy, and science . . . A powerful challenge to conventional notions of individual responsibility” (Publishers Weekly). Few concepts are more unshakable in our culture than free will, the idea that individuals are fundamentally in control of the decisions they make, good or bad. And yet the latest research about how the brain functions seems to point in the opposite direction . . . In a work of breathtaking intellectual sweep and erudition, Heidi M. Ravven offers a riveting and accessible review of cutting-edge neuroscientific research into the brain’s capacity for decision-making—from “mirror” neurons and “self-mapping” to surprising new understandings of group psychology. The Self Beyond Itself also introduces readers to a rich, alternative philosophical tradition of ethics, rooted in the writing of Baruch Spinoza, that finds uncanny confirmation in modern science. Illustrating the results of today’s research with real-life examples, taking readers from elementary school classrooms to Nazi concentration camps, Ravven demonstrates that it is possible to build a theory of ethics that doesn’t rely on free will yet still holds both individuals and groups responsible for the decisions that help create a good society. The Self Beyond Itself is that rare book that injects new ideas into an old debate—and “an important contribution to the development of our thinking about morality” (Washington Independent Review of Books). “An intellectual hand-grenade . . . A magisterial survey of how contemporary neuroscience supports a vision of human morality which puts it squarely on the same plane as other natural phenomena.” —William D. Casebeer, author of Natural Ethical Facts

The Routledge Handbook of Translation and Cognition provides a comprehensive, state-of-the-art overview of how translation and cognition relate to each other, discussing the most important issues in the fledgling sub-discipline of Cognitive Translation Studies (CTS), from foundational to applied aspects. With a strong focus on interdisciplinarity, the handbook surveys concepts and methods in neighbouring disciplines that are concerned with cognition and how they relate to translational activity from a cognitive perspective. Looking at different types of cognitive processes, this volume also ventures into emergent areas such as neuroscience, artificial intelligence, cognitive ergonomics and human–computer interaction. With an editors’ introduction and 30 chapters authored by leading scholars in the field of Cognitive Translation Studies, this handbook is the essential reference and resource for students and researchers of translation and cognition and will also be of interest to those working in bilingualism, second-language acquisition and related areas.