Value And Reward Based Learning In Neurobots
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Value And Reward Based Learning In Neurobots
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Author : Jeffrey L Krichmar
language : en
Publisher: Frontiers Media SA
Release Date : 2015-03-05
Value And Reward Based Learning In Neurobots written by Jeffrey L Krichmar and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-05 with Neurosciences. Biological psychiatry. Neuropsychiatry categories.
Organisms are equipped with value systems that signal the salience of environmental cues to their nervous system, causing a change in the nervous system that results in modification of their behavior. These systems are necessary for an organism to adapt its behavior when an important environmental event occurs. A value system constitutes a basic assumption of what is good and bad for an agent. These value systems have been effectively used in robotic systems to shape behavior. For example, many robots have used models of the dopaminergic system to reinforce behavior that leads to rewards. Other modulatory systems that shape behavior are acetylcholine’s effect on attention, norepinephrine’s effect on vigilance, and serotonin’s effect on impulsiveness, mood, and risk. Moreover, hormonal systems such as oxytocin and its effect on trust constitute as a value system. This book presents current research involving neurobiologically inspired robots whose behavior is: 1) Shaped by value and reward learning, 2) adapted through interaction with the environment, and 3) shaped by extracting value from the environment.
Neuromorphic And Brain Based Robots
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Author : Jeffrey L. Krichmar
language : en
Publisher: Cambridge University Press
Release Date : 2011-09-01
Neuromorphic And Brain Based Robots written by Jeffrey L. Krichmar and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-01 with Medical categories.
Neuromorphic and brain-based robotics have enormous potential for furthering our understanding of the brain. By embodying models of the brain on robotic platforms, researchers can investigate the roots of biological intelligence and work towards the development of truly intelligent machines. This book provides a broad introduction to this groundbreaking area for researchers from a wide range of fields, from engineering to neuroscience. Case studies explore how robots are being used in current research, including a whisker system that allows a robot to sense its environment and neurally inspired navigation systems that show impressive mapping results. Looking to the future, several chapters consider the development of cognitive, or even conscious robots that display the adaptability and intelligence of biological organisms. Finally, the ethical implications of intelligent robots are explored, from morality and Asimov's three laws to the question of whether robots have rights.
Neural Plasticity For Rich And Uncertain Robotic Information Streams
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Author : Andrea Soltoggio
language : en
Publisher: Frontiers Media SA
Release Date : 2016-10-31
Neural Plasticity For Rich And Uncertain Robotic Information Streams written by Andrea Soltoggio and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-31 with Neurosciences. Biological psychiatry. Neuropsychiatry categories.
Models of adaptation and neural plasticity are often demonstrated in robotic scenarios with heavily pre-processed and regulated information streams to provide learning algorithms with appropriate, well timed, and meaningful data to match the assumptions of learning rules. On the contrary, natural scenarios are often rich of raw, asynchronous, overlapping and uncertain inputs and outputs whose relationships and meaning are progressively acquired, disambiguated, and used for further learning. Therefore, recent research efforts focus on neural embodied systems that rely less on well timed and pre-processed inputs, but rather extract autonomously relationships and features in time and space. In particular, realistic and more complete models of plasticity must account for delayed rewards, noisy and ambiguous data, emerging and novel input features during online learning. Such approaches model the progressive acquisition of knowledge into neural systems through experience in environments that may be affected by ambiguities, uncertain signals, delays, or novel features.
Bayesian Brain
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Author : Kenji Doya
language : en
Publisher: MIT Press
Release Date : 2007
Bayesian Brain written by Kenji Doya and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Bayesian statistical decision theory categories.
Experimental and theoretical neuroscientists use Bayesian approaches to analyze the brain mechanisms of perception, decision-making, and motor control.
Intrinsically Motivated Learning In Natural And Artificial Systems
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Author : Gianluca Baldassarre
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-29
Intrinsically Motivated Learning In Natural And Artificial Systems written by Gianluca Baldassarre and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-29 with Computers categories.
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.
The Etiquette Of Social Media
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Author : Leonard Kim
language : en
Publisher:
Release Date : 2014-08-27
The Etiquette Of Social Media written by Leonard Kim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-27 with Reference categories.
Social Media is paving the way of the future. It is a new trend that is becoming standardized as a part of our daily lives. This new standard includes media outlets ranging from Facebook to LinkedIn to Quora and Twitter, along with many others. With how new social media is, there are no classes at our schools that cover the etiquette of social media. Whether you are in high school or a senior level executive, chances are you are oblivious to the guidelines of how to act on social media. In this day and age, that has been forgivable. Why? Because never before has there been a guide covering The Etiquette of Social Media, until now. Inspired by best-selling author James Altucher, Leonard Kim decided to write his first book of many. Being a personality with high visibility and a Top Writer on Quora, an Online Knowledge Market, Leonard has seen it all. From comments to messages to public attacks, Leonard has broken free from the viewpoint we all have of what is right in front of us. He has been able to expand outside of the myopic bubble of the Internet we have all come to see. He has expanded his view of our online society as a whole. In a single year, Leonard went from being a nobody to having over five million views on the internet. He went from being an introvert with less friends than he has fingers to cultivating friendships all across the world. Through decades of experience, Leonard has acquired a unique skill set. With a background in branding, Leonard understands the importance of your online reputation. He has been able to identify the key points to ensure that you come across as an approachable and likable human being. Are you looking to make new friends? Manage your online reputation? Or expand your business connections? This book will provide you with the essential tools you need to get ahead. The world is changing. Soon it will no longer be forgivable to be ignorant of your behavior on social media. People will start to judge you for each action you make. Read this guide to prepare yourself before that dreadfully awaited day finally arrives.
Neural Fields
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Author : Stephen Coombes
language : en
Publisher: Springer
Release Date : 2014-06-17
Neural Fields written by Stephen Coombes and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-17 with Mathematics categories.
Neural field theory has a long-standing tradition in the mathematical and computational neurosciences. Beginning almost 50 years ago with seminal work by Griffiths and culminating in the 1970ties with the models of Wilson and Cowan, Nunez and Amari, this important research area experienced a renaissance during the 1990ties by the groups of Ermentrout, Robinson, Bressloff, Wright and Haken. Since then, much progress has been made in both, the development of mathematical and numerical techniques and in physiological refinement und understanding. In contrast to large-scale neural network models described by huge connectivity matrices that are computationally expensive in numerical simulations, neural field models described by connectivity kernels allow for analytical treatment by means of methods from functional analysis. Thus, a number of rigorous results on the existence of bump and wave solutions or on inverse kernel construction problems are nowadays available. Moreover, neural fields provide an important interface for the coupling of neural activity to experimentally observable data, such as the electroencephalogram (EEG) or functional magnetic resonance imaging (fMRI). And finally, neural fields over rather abstract feature spaces, also called dynamic fields, found successful applications in the cognitive sciences and in robotics. Up to now, research results in neural field theory have been disseminated across a number of distinct journals from mathematics, computational neuroscience, biophysics, cognitive science and others. There is no comprehensive collection of results or reviews available yet. With our proposed book Neural Field Theory, we aim at filling this gap in the market. We received consent from some of the leading scientists in the field, who are willing to write contributions for the book, among them are two of the founding-fathers of neural field theory: Shun-ichi Amari and Jack Cowan.
Neurorobotics
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Author : Tiffany J. Hwu
language : en
Publisher: MIT Press
Release Date : 2022-11-29
Neurorobotics written by Tiffany J. Hwu and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-29 with Technology & Engineering categories.
An introduction to neurorobotics that presents approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. Neurorobotics is an interdisciplinary field that draws on artificial intelligence, cognitive sciences, computer science, engineering, psychology, neuroscience, and robotics. Because the brain is closely coupled to the body and situated in the environment, neurorobots—autonomous systems modeled after some aspect of the brain—offer a powerful tool for studying neural function and may also be a means for developing autonomous systems with intelligence that rivals that of biological organisms. This textbook introduces approaches and design principles for developing intelligent autonomous systems grounded in biology and neuroscience. It is written for anyone interested in learning about this topic and can be used in cognitive robotics courses for students in psychology, cognitive science, and computer science. Neurorobotics covers the background and foundations of the field, with information on early neurorobots, relevant principles of neuroscience, learning rules and mechanisms, and reinforcement learning and prediction; neurorobot design principles grounded in neuroscience and principles of neuroscience research; and examples of neurorobots for navigation, developmental robotics, and social robots, presented with the cognitive science and neuroscience background that inspired them. A supplementary website offers videos, robot simulations, and links to software repositories with neurorobot examples.
Advances In Neural Information Processing Systems 13
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Author : Todd K. Leen
language : en
Publisher: MIT Press
Release Date : 2001
Advances In Neural Information Processing Systems 13 written by Todd K. Leen and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Artificial intelligence categories.
The proceedings of the 2000 Neural Information Processing Systems (NIPS) Conference.The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. The conference is interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing, reinforcement learning and control, implementations, and diverse applications. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented at the 2000 conference.
Richard Learoyd 2018 2007
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Author :
language : en
Publisher:
Release Date : 2019
Richard Learoyd 2018 2007 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Landscape photography categories.
Bringing together more than 70 photographs from the past ten years, this luxurious volume includes Learoyd's (born 1966) widely acclaimed portraits of clothed or nude models, made with the massive camera obscura that he built in his studio, which produces one-of-a-kind color photographs. Sandra S. Phillips writes of these portraits: "There is something incontrovertibly present in the people he photographs; they are more alive, more beautiful, and more fallible?even more vulnerable?than the people we see in most pictures.0Also featured are landscapes made in California, England and Spain, as well as still lifes of animals and flowers. Presenting the highlights of Learoyd's career, and organized in reverse chronological order, this volume shows how Learoyd's images are rooted in the history of art, but were made with the intention of challenging the authority of painting.00Exhibition: Fundación MAPFRE Garriga Nogués , Barcelona, Spain (05.06.-08.09.2019) / Fotomuseum, The Hague, The Netherlands (05.10.2019-05.01.2020).