Biomimetic Neural Learning for Intelligent Robots

Biomimetic Neural Learning for Intelligent Robots PDF Author: Stefan Wermter
Publisher: Springer
ISBN: 3540318968
Category : Technology & Engineering
Languages : en
Pages : 390

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Book Description
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.

Biomimetic Neural Learning for Intelligent Robots

Biomimetic Neural Learning for Intelligent Robots PDF Author: Stefan Wermter
Publisher: Springer
ISBN: 3540318968
Category : Technology & Engineering
Languages : en
Pages : 390

Get Book Here

Book Description
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.

Biomimetic Neural Learning for Intelligent Robots

Biomimetic Neural Learning for Intelligent Robots PDF Author: Stefan Wermter
Publisher: Springer Science & Business Media
ISBN: 3540274405
Category : Technology & Engineering
Languages : en
Pages : 390

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Book Description
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.

Biomimetic Neural Learning for Intelligent Robots

Biomimetic Neural Learning for Intelligent Robots PDF Author: Stefan Wermter
Publisher: Springer
ISBN: 9783540812982
Category : Technology & Engineering
Languages : en
Pages : 383

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Book Description


Biomimetics

Biomimetics PDF Author: Maki K. Habib
Publisher: BoD – Books on Demand
ISBN: 1839621702
Category : Medical
Languages : en
Pages : 188

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Book Description
Bioinspired systems, technologies and techniques known as “biomimetics” or the “mimicry of nature,” represent a ground-breaking method of scientific research based on innovation and a creative design approach of the ‘nature’ laboratory to be applied to any scientific discipline. This approach and the associated way of thinking facilitates the cross-fertilization of scientific fields, integrating biology and the interdisciplinary knowledge featuring the evolution of models that have refined in nature within any scientific discipline.

On Biomimetics

On Biomimetics PDF Author: Lilyana Pramatarova
Publisher: BoD – Books on Demand
ISBN: 9533072717
Category : Medical
Languages : en
Pages : 658

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Book Description
Bio-mimicry is fundamental idea "How to mimic the Nature" by various methodologies as well as new ideas or suggestions on the creation of novel materials and functions. This book comprises seven sections on various perspectives of bio-mimicry in our life; Section 1 gives an overview of modeling of biomimetic materials; Section 2 presents a processing and design of biomaterials; Section 3 presents various aspects of design and application of biomimetic polymers and composites are discussed; Section 4 presents a general characterization of biomaterials; Section 5 proposes new examples for biomimetic systems; Section 6 summarizes chapters, concerning cells behavior through mimicry; Section 7 presents various applications of biomimetic materials are presented. Aimed at physicists, chemists and biologists interested in biomineralization, biochemistry, kinetics, solution chemistry. This book is also relevant to engineers and doctors interested in research and construction of biomimetic systems.

Principles of Synthetic Intelligence

Principles of Synthetic Intelligence PDF Author: Joscha Bach
Publisher: Oxford University Press
ISBN: 019970810X
Category : Psychology
Languages : en
Pages : 401

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Book Description
From the Foreword: "In this book Joscha Bach introduces Dietrich Dörner's PSI architecture and Joscha's implementation of the MicroPSI architecture. These architectures and their implementation have several lessons for other architectures and models. Most notably, the PSI architecture includes drives and thus directly addresses questions of emotional behavior. An architecture including drives helps clarify how emotions could arise. It also changes the way that the architecture works on a fundamental level, providing an architecture more suited for behaving autonomously in a simulated world. PSI includes three types of drives, physiological (e.g., hunger), social (i.e., affiliation needs), and cognitive (i.e., reduction of uncertainty and expression of competency). These drives routinely influence goal formation and knowledge selection and application. The resulting architecture generates new kinds of behaviors, including context dependent memories, socially motivated behavior, and internally motivated task switching. This architecture illustrates how emotions and physical drives can be included in an embodied cognitive architecture. The PSI architecture, while including perceptual, motor, learning, and cognitive processing components, also includes several novel knowledge representations: temporal structures, spatial memories, and several new information processing mechanisms and behaviors, including progress through types of knowledge sources when problem solving (the Rasmussen ladder), and knowledge-based hierarchical active vision. These mechanisms and representations suggest ways for making other architectures more realistic, more accurate, and easier to use. The architecture is demonstrated in the Island simulated environment. While it may look like a simple game, it was carefully designed to allow multiple tasks to be pursued and provides ways to satisfy the multiple drives. It would be useful in its own right for developing other architectures interested in multi-tasking, long-term learning, social interaction, embodied architectures, and related aspects of behavior that arise in a complex but tractable real-time environment. The resulting models are not presented as validated cognitive models, but as theoretical explorations in the space of architectures for generating behavior. The sweep of the architecture can thus be larger-it presents a new cognitive architecture attempting to provide a unified theory of cognition. It attempts to cover perhaps the largest number of phenomena to date. This is not a typical cognitive modeling work, but one that I believe that we can learn much from." --Frank E. Ritter, Series Editor Although computational models of cognition have become very popular, these models are relatively limited in their coverage of cognition-- they usually only emphasize problem solving and reasoning, or treat perception and motivation as isolated modules. The first architecture to cover cognition more broadly is PSI theory, developed by Dietrich Dorner. By integrating motivation and emotion with perception and reasoning, and including grounded neuro-symbolic representations, PSI contributes significantly to an integrated understanding of the mind. It provides a conceptual framework that highlights the relationships between perception and memory, language and mental representation, reasoning and motivation, emotion and cognition, autonomy and social behavior. It is, however, unfortunate that PSI's origin in psychology, its methodology, and its lack of documentation have limited its impact. The proposed book adapts Psi theory to cognitive science and artificial intelligence, by elucidating both its theoretical and technical frameworks, and clarifying its contribution to how we have come to understand cognition.

The Rewiring Brain

The Rewiring Brain PDF Author: Arjen van Ooyen
Publisher: Academic Press
ISBN: 0128038721
Category : Science
Languages : en
Pages : 586

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Book Description
The adult brain is not as hard-wired as traditionally thought. By modifying their small- or large-scale morphology, neurons can make new synaptic connections or break existing ones (structural plasticity). Structural changes accompany memory formation and learning, and are induced by neurogenesis, neurodegeneration and brain injury such as stroke. Exploring the role of structural plasticity in the brain can be greatly assisted by mathematical and computational models, as they enable us to bridge the gap between system-level dynamics and lower level cellular and molecular processes. However, most traditional neural network models have fixed neuronal morphologies and a static connectivity pattern, with plasticity merely arising from changes in the strength of existing synapses (synaptic plasticity). In The Rewiring Brain, the editors bring together for the first time contemporary modeling studies that investigate the implications of structural plasticity for brain function and pathology. Starting with an experimental background on structural plasticity in the adult brain, the book covers computational studies on homeostatic structural plasticity, the impact of structural plasticity on cognition and cortical connectivity, the interaction between synaptic and structural plasticity, neurogenesis-related structural plasticity, and structural plasticity in neurological disorders. Structural plasticity adds a whole new dimension to brain plasticity, and The Rewiring Brain shows how computational approaches may help to gain a better understanding of the full adaptive potential of the adult brain. The book is written for both computational and experimental neuroscientists. - Reviews the current state of knowledge of structural plasticity in the adult brain - Gives a comprehensive overview of computational studies on structural plasticity - Provides insights into the potential driving forces of structural plasticity and the functional implications of structural plasticity for learning and memory - Serves as inspiration for developing novel treatment strategies for stimulating functional repair after brain damage

A survey of the development of biomimetic intelligence and robotics

A survey of the development of biomimetic intelligence and robotics PDF Author: YÜCEL BEYAZIT
Publisher: YÜCEL BEYAZIT
ISBN:
Category : Juvenile Nonfiction
Languages : en
Pages : 10

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Book Description
Keywords: Biomimetics Robotics Biomimetic intelligence Biomimetic robotics Biomimetics is the development of novel theories and technologies by emulating the models and systems of nature. The transfer of function from biological science into engineering promotes emerging research areas across many disparate disciplines. Recently, advances in biomimetic intelligence and robotics have gained great popularity. Biomimetic robotics are designed with biological characteristics and functions to be applied in different scenarios, such as humanoid robots in the home environment, quadruped robots in the field, and bird-like flying robots in the sky. Biomimetic intelligence aims to solve many complex problems by studying the principles of biological systems, resulting in a series of efficient algorithms, such as the genetic algorithm and neural network. Biomimetic intelligence further facilitates the performance of biomimetic robotics, making it possible to be deployed in more and more practical applications.

Handbook of Research on Biomimetics and Biomedical Robotics

Handbook of Research on Biomimetics and Biomedical Robotics PDF Author: Habib, Maki
Publisher: IGI Global
ISBN: 1522529942
Category : Technology & Engineering
Languages : en
Pages : 554

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Book Description
Biomimetic research is an emerging field that aims to draw inspiration and substances from natural sources and create biological systems in structure, mechanism, and function through robotics. The products have a wide array of application including surgical robots, prosthetics, neurosurgery, and biomedical image analysis. The Handbook of Research on Biomimetics and Biomedical Robotics provides emerging research on robotics, mechatronics, and the application of biomimetic design. While highlighting mechatronical challenges in today’s society, readers will find new opportunities and innovations in design capabilities in intelligent robotics and interdisciplinary biomedical products. This publication is a vital resource for senior and graduate students, researchers, and scientists in engineering seeking current research on best ways to globally expand online higher education.

Advances in Reinforcement Learning

Advances in Reinforcement Learning PDF Author: Abdelhamid Mellouk
Publisher: BoD – Books on Demand
ISBN: 9533073691
Category : Computers
Languages : en
Pages : 486

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Book Description
Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different applications. Based on 24 Chapters, it covers a very broad variety of topics in RL and their application in autonomous systems. A set of chapters in this book provide a general overview of RL while other chapters focus mostly on the applications of RL paradigms: Game Theory, Multi-Agent Theory, Robotic, Networking Technologies, Vehicular Navigation, Medicine and Industrial Logistic.