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Associative Learning For A Robot Intelligence
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Book Synopsis Associative Learning For A Robot Intelligence by : John H Andreae
Download or read book Associative Learning For A Robot Intelligence written by John H Andreae and published by World Scientific. This book was released on 1998-09-22 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: The explanation of brain functioning in terms of the association of ideas has been popular since the 17th century. Recently, however, the process of association has been dismissed as computationally inadequate by prominent cognitive scientists. In this book, a sharper definition of the term “association” is used to revive the process by showing that associative learning can indeed be computationally powerful. Within an appropriate organization, associative learning can be embodied in a robot to realize a human-like intelligence, which sets its own goals, exhibits unique unformalizable behaviour and has no hidden homunculi.Some believe that artificial intelligence is undergoing a paradigm shift. There are undoubtedly several competing ideas and ideals. Neural networks and dynamic systems are offered as alternatives to the information processing and digital computer models of the brain. One is asked to decide between symbolic and subsymbolic, between algorithmic and nonalgorithmic, and between information processing and interactive systems. Even in the short distance travelled in this book, associative learning is seen to embrace both sides of these dichotomies.
Book Synopsis Associative Learning for a Robot Intelligence by : John Hugh Andreae
Download or read book Associative Learning for a Robot Intelligence written by John Hugh Andreae and published by Imperial College Press. This book was released on 1998-01-01 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: "provides a number of implementation details that will be helpful to anyone following up on PURR-PUSS (PP). The book has an excellent index and a substantial bibliography".Computing Reviews, 1999
Book Synopsis An AGI Brain for a Robot by : John H. Andreae
Download or read book An AGI Brain for a Robot written by John H. Andreae and published by Academic Press. This book was released on 2021-03-04 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: An AGI Brain for a Robot is the first and only book to give a detailed account and practical demonstration of an Artificial General Intelligence (AGI). The brain is to be implemented in fast parallel hardware and embodied in the head of a robot moving in the real world. Associative learning is shown to be a powerful technique for novelty seeking, language learning, and planning. This book is for neuroscientists, robot designers, psychologists, philosophers and anyone curious about the evolution of the human brain and its specialized functions. The overarching message of this book is that an AGI, as the brain of a robot, is within our grasp and would work like our own brains. The featured brain, called PP, is not a computer program. Instead, PP is a collection of networks of associations built from J. A. Fodor’s modules and the author’s groups. The associations are acquired by intimate interaction between PP in its robot body and the real world. Simulations of PP in one of two robots in a simple world demonstrate PP learning from the second robot, which is under human control. "Both Professor Daniel C. Dennett and Professor Michael A. Arbib independently likened the book ‘An AGI Brain for a Robot’ to Valentino Braitenberg’s 1984 book ‘Vehicles: Experiments in Synthetic Psychology’." Daniel C. Dennett, Professor of Philosophy and Director of Center for Cognitive Studies, Tufts University. Author of "From Bacteria to Bach and Back: The Evolution of Minds." "Michael Arbib, a long time expert in brain modeling, observed that sometimes a small book can catch the interest of readers where a large book can overwhelm and turn them away. He noted, in particular, the success of Valentino Braitenberg’s ‘Vehicles’ (for which he wrote the foreword). At a time of explosive interest in AI, he suggests that PP and its antics may be just the right way to ease a larger audience into thinking about the technicalities of creating general artificial intelligence." Michael A Arbib, Professor Emeritus of Computer Science, Biomedical Engineering, Biological Sciences and Psychology, University of Southern California. Author of "How the Brain Got Language". "Robots seem to increasingly invade our lives, to the point that sometimes seems threatening and other-worldly. In this small book, John Andreae shows some of the basic principles of robotics in ways that are entertaining and easily understood, and touch on some of the basic questions of how the mind works." Michael C. Corballis, Professor of Psychology, University of Auckland. Author of "The Recursive Mind". "A little book that punches far beyond its weight." Nicholas Humphrey, Emeritus Professor of Psychology, London School of Economics. Author of "Soul Dust: The Magic of Consciousness". "A bold and rich approach to one of the major challenges for neuroscience, robotics and philosophy. Who will take up Andreae’s challenge and implement his model?" Matthew Cobb, Professor of Zoology, University of Manchester. Author of "The Idea of the Brain". "Here is a book that could change the direction of research into artificial general intelligence in a very productive and profitable way. It describes a radical new theory of the brain that goes some way towards answering many difficult questions concerning learning, planning, language, and even consciousness. Almost incredibly, the theory is operational, and expressed in a form that could—and should—inspire future, novel, research in AI that transcends existing paradigms." Ian H. Witten, Professor of Computer Science, Waikato University. Author with Eibe Frank of "Data Mining: Practical Machine Learning Tools and Techniques".
Book Synopsis Biomimetic Neural Learning for Intelligent Robots by : Stefan Wermter
Download or read book Biomimetic Neural Learning for Intelligent Robots written by Stefan Wermter and published by Springer Science & Business Media. This book was released on 2005-07-06 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This state-of-the-art survey contains selected papers contributed by researchers in intelligent systems, cognitive robotics, and neuroscience including contributions from the MirrorBot project and from the NeuroBotics Workshop 2004. The research work presented demonstrates significant novel developments in biologically inspired neural models for use in intelligent robot environments and biomimetic cognitive behavior.
Download or read book Robot Shaping written by Marco Dorigo and published by MIT Press. This book was released on 1998 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: foreword by Lashon Booker To program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction with its environment and then adapt its behavior, greatly simplifies the designer's work. A learning robot need not be given all of the details of its environment, and its sensors and actuators need not be finely tuned. Robot Shaping is about designing and building learning autonomous robots. The term "shaping" comes from experimental psychology, where it describes the incremental training of animals. The authors propose a new engineering discipline, "behavior engineering," to provide the methodologies and tools for creating autonomous robots. Their techniques are based on classifier systems, a reinforcement learning architecture originated by John Holland, to which they have added several new ideas, such as "mutespec," classifier system "energy,"and dynamic population size. In the book they present Behavior Analysis and Training (BAT) as an example of a behavior engineering methodology.
Book Synopsis Consciousness And Robot Sentience (Second Edition) by : Haikonen Pentti O A
Download or read book Consciousness And Robot Sentience (Second Edition) written by Haikonen Pentti O A and published by World Scientific. This book was released on 2019-05-23 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: THIS BOOK is the fully revised and updated second edition of 'Consciousness and Robot Sentience'. With lots of new material, it will provide new insights into artificial intelligence (AI) and machine consciousness, beyond materials published in the first edition. The organization of this book has been streamlined for better clarity and continuity of the lines of arguments.The perspective of AI has been added to this edition. It is shown that contemporary AI has a hidden problem, which prevents it from becoming a true intelligent agent. A self-evident solution to this problem is given in this book.This solution is surprisingly connected with the concepts of qualia, the mind-body problem and consciousness. These are the hard problems of consciousness that so far have been without viable solution. Unfortunately, the solution to the hidden problem of AI cannot be satisfactorily implemented, unless the phenomena of qualia and consciousness are first understood. In this book an explanation of consciousness is presented, one that rejects material and immaterial substances, dualism, panpsychism, emergence and metaphysics. What remains is obvious. This explanation excludes consciousness in digital computers, but allows the artificial creation of consciousness in one natural-like way, by associative non-computational neural networks.The proof of a theory calls for empirical verification. In this case, the proof could be in the form of a sentient robot. This book describes a step towards this in the form of the author's small experimental robot XCR-1. This robot has evolved through the years, and has now new cognitive abilities, which are described.
Book Synopsis Biomimetic Neural Learning for Intelligent Robots by : Stefan Wermter
Download or read book Biomimetic Neural Learning for Intelligent Robots written by Stefan Wermter and published by Springer. This book was released on 2005-08-25 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This state-of-the-art survey contains selected papers contributed by researchers in intelligent systems, cognitive robotics, and neuroscience including contributions from the MirrorBot project and from the NeuroBotics Workshop 2004. The research work presented demonstrates significant novel developments in biologically inspired neural models for use in intelligent robot environments and biomimetic cognitive behavior.
Book Synopsis Artificial Intelligence by : Ronald Chrisley
Download or read book Artificial Intelligence written by Ronald Chrisley and published by Taylor & Francis. This book was released on 2000 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Neuromorphic Photonic Devices and Applications by : Min Gu
Download or read book Neuromorphic Photonic Devices and Applications written by Min Gu and published by Elsevier. This book was released on 2023-12-15 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuromorphic Photonic Devices and Applications synthesizes the most critical advances in photonic neuromorphic models, photonic material platforms and accelerators for neuromorphic computing. The book discusses fields and applications that can leverage these new platforms. A brief review of the historical development of the field is followed by a discussion of the emerging 2D photonic materials platforms and recent work in implementing neuromorphic models and 3D neuromorphic systems. The application of artificial intelligence (AI), such as neuromorphic models to inverse design neuromorphic materials and devices and predict performance challenges is discussed throughout. Finally, a comprehensive overview of the applications of neuromorphic photonic technologies and the challenges, opportunities and future prospects is discussed, making the book suitable for researchers and practitioners in academia and R&D in the multidisciplinary field of photonics. Includes overview of primary scientific concepts for the research topic of neuromorphic photonics such as neurons as computational units, artificial intelligence, machine learning and neuromorphic models Reviews the latest advances in photonic materials, device platforms and enabling technology drivers of neuromorphic photonics Discusses potential applications in computing and optical communications
Book Synopsis Robot Learning from Human Teachers by : Sonia Chernova
Download or read book Robot Learning from Human Teachers written by Sonia Chernova and published by Morgan & Claypool Publishers. This book was released on 2014-04-01 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning from Demonstration (LfD) explores techniques for learning a task policy from examples provided by a human teacher. The field of LfD has grown into an extensive body of literature over the past 30 years, with a wide variety of approaches for encoding human demonstrations and modeling skills and tasks. Additionally, we have recently seen a focus on gathering data from non-expert human teachers (i.e., domain experts but not robotics experts). In this book, we provide an introduction to the field with a focus on the unique technical challenges associated with designing robots that learn from naive human teachers. We begin, in the introduction, with a unification of the various terminology seen in the literature as well as an outline of the design choices one has in designing an LfD system. Chapter 2 gives a brief survey of the psychology literature that provides insights from human social learning that are relevant to designing robotic social learners. Chapter 3 walks through an LfD interaction, surveying the design choices one makes and state of the art approaches in prior work. First, is the choice of input, how the human teacher interacts with the robot to provide demonstrations. Next, is the choice of modeling technique. Currently, there is a dichotomy in the field between approaches that model low-level motor skills and those that model high-level tasks composed of primitive actions. We devote a chapter to each of these. Chapter 7 is devoted to interactive and active learning approaches that allow the robot to refine an existing task model. And finally, Chapter 8 provides best practices for evaluation of LfD systems, with a focus on how to approach experiments with human subjects in this domain.
Book Synopsis Artificial General Intelligence by : Matthew Iklé
Download or read book Artificial General Intelligence written by Matthew Iklé and published by Springer. This book was released on 2018-08-02 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 11th International Conference on Artificial General Intelligence, AGI 2018, held in Prague, Czech Republic, in August 2018. The 19 regular papers and 10 poster papers presented in this book were carefully reviewed and selected from 52 submissions. The conference encourage interdisciplinary research based on different understandings of intelligence, and exploring different approaches. As the AI field becomes increasingly commercialized and well accepted, maintaining and emphasizing a coherent focus on the AGI goals at the heart of the field remains more critical than ever.
Book Synopsis Design and Control of Intelligent Robotic Systems by : Dikai Liu
Download or read book Design and Control of Intelligent Robotic Systems written by Dikai Liu and published by Springer. This book was released on 2009-01-22 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers. This edited book entitled “Design and Control of Intelligent Robotic Systems” in the book series of “Studies in Computational Intelligence” is a collection of some advanced research on design and control of intelligent robots. The works presented range in scope from design methodologies to robot development. Various design approaches and al- rithms, such as evolutionary computation, neural networks, fuzzy logic, learning, etc. are included. We also would like to mention that most studies reported in this book have been implemented in physical systems. An overview on the applications of computational intelligence in bio-inspired robotics is given in Chapter 1 by M. Begum and F. Karray, with highlights of the recent progress in bio-inspired robotics research and a focus on the usage of computational intelligence tools to design human-like cognitive abilities in the robotic systems. In Chapter 2, Lisa L. Grant and Ganesh K. Venayagamoorthy present greedy search, particle swarm optimization and fuzzy logic based strategies for navigating a swarm of robots for target search in a hazardous environment, with potential applications in high-risk tasks such as disaster recovery and hazardous material detection.
Book Synopsis Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence by : Gogate, Lakshmi
Download or read book Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence written by Gogate, Lakshmi and published by IGI Global. This book was released on 2013-02-28 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: The process of learning words and languages may seem like an instinctual trait, inherent to nearly all humans from a young age. However, a vast range of complex research and information exists in detailing the complexities of the process of word learning. Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence strives to combine cross-disciplinary research into one comprehensive volume to help readers gain a fuller understanding of the developmental processes and influences that makeup the progression of word learning. Blending together developmental psychology and artificial intelligence, this publication is intended for researchers, practitioners, and educators who are interested in language learning and its development as well as computational models formed from these specific areas of research.
Book Synopsis Advances in Neural Networks – ISNN 2014 by : Zhigang Zeng
Download or read book Advances in Neural Networks – ISNN 2014 written by Zhigang Zeng and published by Springer. This book was released on 2014-11-28 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014. The 71 revised full papers presented were carefully reviewed and selected from 119 submissions. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research as follows. The focus is on following topics such as analysis, modeling, and applications.
Book Synopsis A Robotic Framework for Semantic Concept Learning by : Patrick Gordon Xavier
Download or read book A Robotic Framework for Semantic Concept Learning written by Patrick Gordon Xavier and published by . This book was released on 2004 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report describes work carried out under a Sandia National Laboratories Excellence in Engineering Fellowship in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. Our research group (at UIUC) is developing a intelligent robot, and attempting to teach it language. While there are many aspects of this research, for the purposes of this report the most important are the following ideas. Language is primarily based on semantics, not syntax. To truly learn meaning, the language engine must be part of an embodied intelligent system, one capable of using associative learning to form concepts from the perception of experiences in the world, and further capable of manipulating those concepts symbolically. In the work described here, we explore the use of hidden Markov models (HMMs) in this capacity. HMMs are capable of automatically learning and extracting the underlying structure of continuous-valued inputs and representing that structure in the states of the model. These states can then be treated as symbolic representations of the inputs. We describe a composite model consisting of a cascade of HMMs that can be embedded in a small mobile robot and used to learn correlations among sensory inputs to create symbolic concepts. These symbols can then be manipulated linguistically and used for decision making. This is the project final report for the University Collaboration LDRD project, 'A Robotic Framework for Semantic Concept Learning'.
Book Synopsis Unconventional Computation by : Cristian S. Calude
Download or read book Unconventional Computation written by Cristian S. Calude and published by Springer. This book was released on 2005-09-27 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Fourth International Conference on Unconventional Computation, UC 2005, organized under the auspices of EATCS by the Centre for Discrete Mathematics and Theoretical Computer Science and the Department of C- puter Science and Arti?cial Intelligence of the University of Seville, was held in Seville, October 3–7, 2005. Seville, one of the most beautiful cities in Spain, is at its best in October. An explosion of colour and contrast: ?amenco, bull?ghting, and a lively at- sphere in the streets due to the open and friendly nature of its people. The river Guadalquivir, the Cathedral and the Golden Tower are all places full of magic where the visitor can feel the spirit of a city which is eternally romantic. The series of International Conferences Unconventional Computation (UC),https://www.cs.auckland.ac.nz/CDMTCS/conferences/uc/isdevoted to all aspects of unconventional computation, theory as well as experiments and applications. Typical, but not exclusive, topics are: natural computing including quantum, cellular,molecular, neural and evolutionarycomputing; chaosand - namical systems based computing; and various proposals for computations that go beyond the Turing model. The ?rst venue of the Unconventional Computation Conference (formerly called Unconventional Models of Computation) was Auckland, New Zealand in 1998; subsequent sites of the conference were Brussels, Belgium in 2000 and Kobe, Japan in 2002. The titles of the proceedings volumes from past UC Conferences are as follows: 1. C.S. Calude, J. Casti, M.J. Dinneen (eds.). Unconventional Models of C- putation, Springer-Verlag, Singapore, 1998, viii + 426 pp. ISBN: 981-3083- 69-7.
Book Synopsis Understanding Intelligence by : Rolf Pfeifer
Download or read book Understanding Intelligence written by Rolf Pfeifer and published by MIT Press. This book was released on 2001-07-27 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. By the mid-1980s researchers from artificial intelligence, computer science, brain and cognitive science, and psychology realized that the idea of computers as intelligent machines was inappropriate. The brain does not run "programs"; it does something entirely different. But what? Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control our behavior, to ensure our survival. Researchers now agree that intelligence always manifests itself in behavior—thus it is behavior that we must understand. An exciting new field has grown around the study of behavior-based intelligence, also known as embodied cognitive science, "new AI," and "behavior-based AI." This book provides a systematic introduction to this new way of thinking. After discussing concepts and approaches such as subsumption architecture, Braitenberg vehicles, evolutionary robotics, artificial life, self-organization, and learning, the authors derive a set of principles and a coherent framework for the study of naturally and artificially intelligent systems, or autonomous agents. This framework is based on a synthetic methodology whose goal is understanding by designing and building. The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. The reader is guided through a series of case studies that illustrate the design principles of embodied cognitive science.
