Joan Vickers presents evidence on gaze control within visual perception and action in sport as well as the science underlying decision training.

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.

Judgment, Decision-Making, and Embodied Choices introduces a new concept of embodied choices which take sensorimotor experiences into account when limited time and resources forces a person to make a quick decision. This book combines areas of cognitive psychology and movement science, presenting an integrative approach to understanding human functioning in everyday scenarios. This is the first book focusing on the role of the gut as a second brain, introducing the link to risky behavior. The book's author engages readers by providing real-life experiences and scenarios connecting theory to practice. - Discusses the role of gut feelings and the brain-gut behavior connection - Demonstrates that behavior influences decision and other people's perceptions about mood or character - Includes research on medical decisions and shopping decisions - Illustrates how to train embodied choices

This volume investigates the implications of how our brain directs our movements on decision making. An extensive body of knowledge in chapters from international experts is presented as well as integrative group reports discussing new directions for future research.The understanding of how people make decisions is of central interest to experts working in fields such as psychology, economics, movement science, cognitive neuroscience, neuroinformatics, robotics, and sport science. For the first time the current volume provides a multidisciplinary overview of how action and cognition are integrated in the planning of and decisions about action. - Offers intense, focused, and genuine interdisciplinary perspective - Conveys state-of-the-art and outlines future research directions on the hot topic of mind and motion (or embodied cognition) - Includes contributions from psychologists, neuroscientists, movement scientists, economists, and others

Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

Cognitive Ecology lays the foundations for a field of study that integrates theory and data from evolutionary ecology and cognitive science to investigate how animal interactions with natural habitats shape cognitive systems, and how constraints imposed on nervous systems limit or bias animal behavior. Using critical literature reviews and theoretical models, the contributors provide new insights and raise novel questions about the adaptive design of specific brain capacities and about optimal behavior subject to the computational capabilities of brains.

Cognitive Psychology: The Basics provides a compact introduction to the core topics in the field, discussing the science behind the everyday cognitive phenomena experienced by us all. The book considers laboratory and applied theory and research alongside technological developments to demonstrate how our understanding of the brain’s role in cognition is improving all the time. Alongside coverage of traditional topics in the field, including attention and perception; learning and memory; thinking, problem-solving and decision-making; and language, the book also discusses developments in interrelated areas, such as neuroscience and computational cognitive science. New perspectives, including the contribution of evolutionary psychology to our understanding of cognition are also considered before a thoughtful discussion of future research directions. Using real-world examples throughout, the authors explain in an accessible and student-friendly manner the role our human cognition plays in all aspects of our lives. It is an essential introductory text suitable for all students of Cognitive Psychology and related disciplines. It will also be an ideal read for any reader interested in the role of the brain in human behavior.

"Takes you inside the amazing science of how the body affects the mind, and shows how to use that wisdom to live smarter and maximize what your body teaches your mind"--

An introduction to the application of dynamical systems science to the cognitive sciences. Dynamical Cognitive Science makes available to the cognitive science community the analytical tools and techniques of dynamical systems science, adding the variables of change and time to the study of human cognition. The unifying theme is that human behavior is an "unfolding in time" whose study should be augmented by the application of time-sensitive tools from disciplines such as physics, mathematics, and economics, where change over time is of central importance. The book provides a fast-paced, comprehensive introduction to the application of dynamical systems science to the cognitive sciences. Topics include linear and nonlinear time series analysis, chaos theory, complexity theory, relaxation oscillators, and metatheoretical issues of modeling and theory building. Tools and techniques are discussed in the context of their application to basic cognitive science problems, including perception, memory, psychophysics, judgment and decision making, and consciousness. The final chapter summarizes the contemporary study of consciousness and suggests how dynamical approaches to cognitive science can help to advance our understanding of this central concept.