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Author: Gianluca Baldassarre Publisher: Frontiers E-books ISBN: 2889193721 Category : Autonomous robots Languages : en Pages : 351
Book Description
The aim of this Research Topic for Frontiers in Psychology under the section of Cognitive Science and Frontiers in Neurorobotics is to present state-of-the-art research, whether theoretical, empirical, or computational investigations, on open-ended development driven by intrinsic motivations. The topic will address questions such as: How do motivations drive learning? How are complex skills built up from a foundation of simpler competencies? What are the neural and computational bases for intrinsically motivated learning? What is the contribution of intrinsic motivations to wider cognition? Autonomous development and lifelong open-ended learning are hallmarks of intelligence. Higher mammals, and especially humans, engage in activities that do not appear to directly serve the goals of survival, reproduction, or material advantage. Rather, a large part of their activity is intrinsically motivated - behavior driven by curiosity, play, interest in novel stimuli and surprising events, autonomous goal-setting, and the pleasure of acquiring new competencies. This allows the cumulative acquisition of knowledge and skills that can later be used to accomplish fitness-enhancing goals. Intrinsic motivations continue during adulthood, and in humans artistic creativity, scientific discovery, and subjective well-being owe much to them. The study of intrinsically motivated behavior has a long history in psychological and ethological research, which is now being reinvigorated by perspectives from neuroscience, artificial intelligence and computer science. For example, recent neuroscientific research is discovering how neuromodulators like dopamine and noradrenaline relate not only to extrinsic rewards but also to novel and surprising events, how brain areas such as the superior colliculus and the hippocampus are involved in the perception and processing of events, novel stimuli, and novel associations of stimuli, and how violations of predictions and expectations influence learning and motivation. Computational approaches are characterizing the space of possible reinforcement learning algorithms and their augmentation by intrinsic reinforcements of different kinds. Research in robotics and machine learning is yielding systems with increasing autonomy and capacity for self-improvement: artificial systems with motivations that are similar to those of real organisms and support prolonged autonomous learning. Computational research on intrinsic motivation is being complemented by, and closely interacting with, research that aims to build hierarchical architectures capable of acquiring, storing, and exploiting the knowledge and skills acquired through intrinsically motivated learning. Now is an important moment in the study of intrinsically motivated open-ended development, requiring contributions and integration across a large number of fields within the cognitive sciences. This Research Topic aims to contribute to this effort by welcoming papers carried out with ethological, psychological, neuroscientific and computational approaches, as well as research that cuts across disciplines and approaches.
Author: Gianluca Baldassarre Publisher: Frontiers E-books ISBN: 2889193721 Category : Autonomous robots Languages : en Pages : 351
Book Description
The aim of this Research Topic for Frontiers in Psychology under the section of Cognitive Science and Frontiers in Neurorobotics is to present state-of-the-art research, whether theoretical, empirical, or computational investigations, on open-ended development driven by intrinsic motivations. The topic will address questions such as: How do motivations drive learning? How are complex skills built up from a foundation of simpler competencies? What are the neural and computational bases for intrinsically motivated learning? What is the contribution of intrinsic motivations to wider cognition? Autonomous development and lifelong open-ended learning are hallmarks of intelligence. Higher mammals, and especially humans, engage in activities that do not appear to directly serve the goals of survival, reproduction, or material advantage. Rather, a large part of their activity is intrinsically motivated - behavior driven by curiosity, play, interest in novel stimuli and surprising events, autonomous goal-setting, and the pleasure of acquiring new competencies. This allows the cumulative acquisition of knowledge and skills that can later be used to accomplish fitness-enhancing goals. Intrinsic motivations continue during adulthood, and in humans artistic creativity, scientific discovery, and subjective well-being owe much to them. The study of intrinsically motivated behavior has a long history in psychological and ethological research, which is now being reinvigorated by perspectives from neuroscience, artificial intelligence and computer science. For example, recent neuroscientific research is discovering how neuromodulators like dopamine and noradrenaline relate not only to extrinsic rewards but also to novel and surprising events, how brain areas such as the superior colliculus and the hippocampus are involved in the perception and processing of events, novel stimuli, and novel associations of stimuli, and how violations of predictions and expectations influence learning and motivation. Computational approaches are characterizing the space of possible reinforcement learning algorithms and their augmentation by intrinsic reinforcements of different kinds. Research in robotics and machine learning is yielding systems with increasing autonomy and capacity for self-improvement: artificial systems with motivations that are similar to those of real organisms and support prolonged autonomous learning. Computational research on intrinsic motivation is being complemented by, and closely interacting with, research that aims to build hierarchical architectures capable of acquiring, storing, and exploiting the knowledge and skills acquired through intrinsically motivated learning. Now is an important moment in the study of intrinsically motivated open-ended development, requiring contributions and integration across a large number of fields within the cognitive sciences. This Research Topic aims to contribute to this effort by welcoming papers carried out with ethological, psychological, neuroscientific and computational approaches, as well as research that cuts across disciplines and approaches.
Author: Srini Pillay, M.D. Publisher: Ballantine Books ISBN: 1101883669 Category : Psychology Languages : en Pages : 306
Book Description
Harness your mind’s innate tendency to wander, stall, rest, and unfocus and become more productive—in the boardroom, living room, or classroom. Named one of Coastal Living’s Best Books for the Beach This Summer To finish tasks and achieve goals, most people believe that more focus is the solution. We rely on to-do lists, calendar reminders, noise-blocking headphones, and sometimes medication to help us concentrate—even though these tactics often fail to substantially improve productivity. Drawing on the latest brain research, compelling stories from his psychological practice, and colorful examples of counterintuitive success from sports, business, education, and the arts, neuroscientist Srini Pillay, M.D., challenges traditional ideas about productivity, revealing the lasting, positive benefits of adding deliberate and regular unfocus to your repertoire. A fascinating tour through brain wavelengths and rhythm, mindsets, and mental relaxation, Tinker Dabble Doodle Try demonstrates how specific kinds of planned unfocus stimulate cognitive calmness, jumpstart productivity, enhance innovation, inspire creativity, improve long-term memory, and, of course, help you stay on target. Tinkering with ideas and with things releases your mind to wander from a state of stuckness into a possibility frame of mind, triggering neural connections and new insights. Dabbling in a new endeavor—whether a hobby or fantasy—disrupts your habitual and reactive thinking, helping you find new solutions to old problems. Doodling can help you tap into another brain frequency to remove obstacles and create opportunities and inspiration. With techniques for training the brain to unfocus, concepts for scheduling busy lives, and ideas for controlling this new cognitive-toggling capability, Tinker Dabble Doodle Try will change how you think about daydreaming, relaxing, leaving work unfinished, and even multitasking. What you’ll discover is a greater freedom, a deeper intelligence, and a more profound joy in your life. Praise for Tinker Dabble Doodle Try “Pillay’s effortless writing style, combined with an excellent balance of popular psychology and self-help, makes this a helpful read for those who enjoy a light dive into psychology with practical applications.”—Library Journal “Pillay cites an intriguing range of brain studies to support his argument, and his case studies of individuals with whom he has worked provide useful insights.”—Kirkus Reviews “Dr. Srini Pillay offers a brilliant, deeply researched, and even more deeply imagined blueprint for using one’s full mental armamentarium, conscious, unconscious, and all the undiscovered rest! A fantastic book!”—Edward M. Hallowell, M.D., co-author of Delivered from Distraction “Dr. Pillay’s new book will help you create a new, fun, more playful destiny and unlock your brain’s inner potential.”—Daniel G. Amen, M.D., co-author of The Brain Warrior’s Way “This book not only gives you license to step off the hamster wheel of focus, focus, focus, but it will show you how to strategically and productively do so.”—JJ Virgin, author of JJ Virgin’s Sugar Impact Diet “This brilliant book shows how to manipulate your brain to alternate between intense concentration and deliberate mind-wandering.”—Mark Robert Waldman, co-author of How God Changes Your Brain
Author: Mark Robert Waldman Publisher: Diversion Books ISBN: 1682303047 Category : Self-Help Languages : en Pages : 312
Book Description
Perfect for readers of How God Changes Your Brain, two researchers present over thirty brain exercises to help readers generate happiness and success, in business and in life. ”This remarkable book translates state-of-the art neuroscience into practical techniques that rapidly promote personal transformation. If you want to double your happiness and your income, start using these powerful brain-changing exercises today!” ―John Assaraf, New York Times bestselling author and CEO of NeuroGym Adapted from a business school course they created for professionals, bestselling author Mark Waldman and Chris Manning present simple brain exercises, based on the latest neuroscience research, to guide readers to improvement in all parts of life, from work to home, from how we think to how we feel. Their promise is to help people create more "wealth" in their lives, defined as the combination of money, happiness, and success. Using the latest research studied by two experts in their field, the book presents both the scientific background and sets of “NeuroWisdom” exercises that will help people reduce neurological stress and increase happiness, motivation, and productivity. The “worry” centers of the brain are turned off and the optimism circuits are turned on. Work becomes more pleasurable and creativity is increased, enabling the brain to anticipate and solve problems more efficiently. From the cutting edge of brain science to real-world solutions, these exercises help readers gain the wisdom that leads to greater fulfillment.
Author: K. Ann Renninger Publisher: Cambridge University Press ISBN: 1316832473 Category : Psychology Languages : en Pages : 1172
Book Description
Written by leading researchers in educational and social psychology, learning science, and neuroscience, this edited volume is suitable for a wide-academic readership. It gives definitions of key terms related to motivation and learning alongside developed explanations of significant findings in the field. It also presents cohesive descriptions concerning how motivation relates to learning, and produces a novel and insightful combination of issues and findings from studies of motivation and/or learning across the authors' collective range of scientific fields. The authors provide a variety of perspectives on motivational constructs and their measurement, which can be used by multiple and distinct scientific communities, both basic and applied.
Author: Gianluca Baldassarre Publisher: Springer Science & Business Media ISBN: 3642323758 Category : Computers Languages : en Pages : 453
Book Description
It has become clear to researchers in robotics and adaptive behaviour that current approaches are yielding systems with limited autonomy and capacity for self-improvement. To learn autonomously and in a cumulative fashion is one of the hallmarks of intelligence, and we know that higher mammals engage in exploratory activities that are not directed to pursue goals of immediate relevance for survival and reproduction but are instead driven by intrinsic motivations such as curiosity, interest in novel stimuli or surprising events, and interest in learning new behaviours. The adaptive value of such intrinsically motivated activities lies in the fact that they allow the cumulative acquisition of knowledge and skills that can be used later to accomplish fitness-enhancing goals. Intrinsic motivations continue during adulthood, and in humans they underlie lifelong learning, artistic creativity, and scientific discovery, while they are also the basis for processes that strongly affect human well-being, such as the sense of competence, self-determination, and self-esteem. This book has two aims: to present the state of the art in research on intrinsically motivated learning, and to identify the related scientific and technological open challenges and most promising research directions. The book introduces the concept of intrinsic motivation in artificial systems, reviews the relevant literature, offers insights from the neural and behavioural sciences, and presents novel tools for research. The book is organized into six parts: the chapters in Part I give general overviews on the concept of intrinsic motivations, their function, and possible mechanisms for implementing them; Parts II, III, and IV focus on three classes of intrinsic motivation mechanisms, those based on predictors, on novelty, and on competence; Part V discusses mechanisms that are complementary to intrinsic motivations; and Part VI introduces tools and experimental frameworks for investigating intrinsic motivations. The contributing authors are among the pioneers carrying out fundamental work on this topic, drawn from related disciplines such as artificial intelligence, robotics, artificial life, evolution, machine learning, developmental psychology, cognitive science, and neuroscience. The book will be of value to graduate students and academic researchers in these domains, and to engineers engaged with the design of autonomous, adaptive robots. The contributing authors are among the pioneers carrying out fundamental work on this topic, drawn from related disciplines such as artificial intelligence, robotics, artificial life, evolution, machine learning, developmental psychology, cognitive science, and neuroscience. The book will be of value to graduate students and academic researchers in these domains, and to engineers engaged with the design of autonomous, adaptive robots.
Author: Eleanor H. Simpson Publisher: Springer ISBN: 3319269356 Category : Medical Languages : en Pages : 584
Book Description
This volume covers the current status of research in the neurobiology of motivated behaviors in humans and other animals in healthy condition. This includes consideration of the psychological processes that drive motivated behavior and the anatomical, electrophysiological and neurochemical mechanisms which drive these processes and regulate behavioural output. The volume also includes chapters on pathological disturbances in motivation including apathy, or motivational deficit as well as addictions, the pathological misdirection of motivated behavior. As with the chapters on healthy motivational processes, the chapters on disease provide a comprehensive up to date review of the neurobiological abnormalities that underlie motivation, as determined by studies of patient populations as well as animal models of disease. The book closes with a section on recent developments in treatments for motivational disorders.
Author: Lawrence K. Saul Publisher: MIT Press ISBN: 9780262195348 Category : Computers Languages : en Pages : 1710
Book Description
Papers presented at NIPS, the flagship meeting on neural computation, held in December 2004 in Vancouver.The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only twenty-five percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains the papers presented at the December, 2004 conference, held in Vancouver.
Author: Thomas Parr Publisher: MIT Press ISBN: 0262362287 Category : Science Languages : en Pages : 313
Book Description
The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines. Active inference is a way of understanding sentient behavior—a theory that characterizes perception, planning, and action in terms of probabilistic inference. Developed by theoretical neuroscientist Karl Friston over years of groundbreaking research, active inference provides an integrated perspective on brain, cognition, and behavior that is increasingly used across multiple disciplines including neuroscience, psychology, and philosophy. Active inference puts the action into perception. This book offers the first comprehensive treatment of active inference, covering theory, applications, and cognitive domains. Active inference is a “first principles” approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The book emphasizes the implications of the free energy principle for understanding how the brain works. It first introduces active inference both conceptually and formally, contextualizing it within current theories of cognition. It then provides specific examples of computational models that use active inference to explain such cognitive phenomena as perception, attention, memory, and planning.
Author: A. David Redish Publisher: MIT Press ISBN: 9780262181945 Category : Medical Languages : en Pages : 452
Book Description
There are currently two major theories about the role of the hippocampus, a distinctive structure in the back of the temporal lobe. One says that it stores a cognitive map, the other that it is a key locus for the temporary storage of episodic memories. A. David Redish takes the approach that understanding the role of the hippocampus in space will make it possible to address its role in less easily quantifiable areas such as memory. Basing his investigation on the study of rodent navigation--one of the primary domains for understanding information processing in the brain--he places the hippocampus in its anatomical context as part of a greater functional system. Redish draws on the extensive experimental and theoretical work of the last 100 years to paint a coherent picture of rodent navigation. His presentation encompasses multiple levels of analysis, from single-unit recording results to behavioral tasks to computational modeling. From this foundation, he proposes a novel understanding of the role of the hippocampus in rodents that can shed light on the role of the hippocampus in primates, explaining data from primate studies and human neurology. The book will be of interest not only to neuroscientists and psychologists, but also to researchers in computer science, robotics, artificial intelligence, and artificial life.
Author: Gianluca Baldassarre
Author: Gianluca Baldassarre
Author: Srini Pillay, M.D.
Author: Mark Robert Waldman
Author: K. Ann Renninger
Author: Judy Cameron
Author: Gianluca Baldassarre
Author: Eleanor H. Simpson
Author: Lawrence K. Saul
Author: Thomas Parr
Author: A. David Redish