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| Author | : Chenwei Deng |
| Publisher | : Frontiers Media SA |
| Total Pages | : 223 |
| Release | : 2023-04-19 |
| Genre | : Science |
| ISBN | : 2832521169 |
| Author | : Angeliki Pantazi |
| Publisher | : Frontiers Media SA |
| Total Pages | : 160 |
| Release | : 2022-08-29 |
| Genre | : Science |
| ISBN | : 2889768562 |
| Author | : Robert Kozma |
| Publisher | : Academic Press |
| Total Pages | : 398 |
| Release | : 2023-10-27 |
| Genre | : Computers |
| ISBN | : 0323958168 |
Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters. Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN Authored by top experts, global field pioneers, and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making Edited by high-level academics and researchers in intelligent systems and neural networks Includes all new chapters, including topics such as Frontiers in Recurrent Neural Network Research; Big Science, Team Science, Open Science for Neuroscience; A Model-Based Approach for Bridging Scales of Cortical Activity; A Cognitive Architecture for Object Recognition in Video; How Brain Architecture Leads to Abstract Thought; Deep Learning-Based Speech Separation and Advances in AI, Neural Networks
| Author | : BICA Society. Annual Meeting |
| Publisher | : IOS Press |
| Total Pages | : 264 |
| Release | : 2010 |
| Genre | : Computers |
| ISBN | : 1607506602 |
"This book presents the proceedings of the First International Conference on Biologically Inspired Cognitive Architectures (BICA 2010), which is also the First Annual Meeting of the BICA Society. A cognitive architecture is a computational framework for the design of intelligent, even conscious, agents. It may draw inspiration from many sources, such as pure mathematics, physics or abstract theories of cognition. A biologically inspired cognitive architecture (BICA) is one which incorporates formal mechanisms from computational models of human and animal cognition, which currently provide the only physical examples with the robustness, flexibility, scalability and consciousness that artificial intelligence aspires to achieve. The BICA approach has several different goals: the broad aim of creating intelligent software systems without focusing on any one area of application; attempting to accurately simulate human behavior or gain an understanding of how the human mind works, either for purely scientific reasons or for applications in a variety of domains; understanding how the brain works at a neuronal and sub-neuronal level; or designing artificial systems which can perform the cognitive tasks important to practical applications in human society, and which at present only humans are capable of. The papers presented in this volume reflect the cross-disciplinarity and integrative nature of the BICA approach and will be of interest to anyone developing their own approach to cognitive architectures. Many insights can be found here for inspiration or to import into one's own architecture, directly or in modified form."--Publisher description.
| Author | : Hakwan Lau |
| Publisher | : Oxford University Press |
| Total Pages | : 241 |
| Release | : 2022-02-10 |
| Genre | : Psychology |
| ISBN | : 0192598805 |
In Consciousness We Trust is a synthesis of Hakwan Lau's 20-year research programme exploring the neuroscience of consciousness. Discussing studies from his own laboratory, Lau uses various neuroscience techniques to address challenging philosophical questions about the nature of our subjective experience. Considering the qualitative nature of subjective experience, the book reviews the current cognitive neuroscience literature on conscious perception, attention, and metacognition and puts forward a mechanistic account of experience through the context of personal journey. Chapters cover different major theoretical positions, to relate the nature of consciousness to relevant phenomena such as attention, metacognition, rational control, emotion, and sense of agency. This is a must-read for graduate students and researchers in cognitive neuroscience and philosophy, and an important contribution to the consciousness literature. This is an open access title available under the terms of a [CC BY-NC-ND 4.0 International] licence.
| Author | : Rong Chen |
| Publisher | : Frontiers Media SA |
| Total Pages | : 290 |
| Release | : 2021-04-16 |
| Genre | : Science |
| ISBN | : 2889666832 |
| Author | : Jinchang Ren |
| Publisher | : Springer |
| Total Pages | : 870 |
| Release | : 2018-10-05 |
| Genre | : Computers |
| ISBN | : 3030005631 |
This book constitutes the refereed proceedings of the 9th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2018, held in Xi’an, China, in July 2018. The 83 papers presented in this volume were carefully reviewed and selected from 137 submissions. The papers were organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection, tracking and classification; data analysis and natural language processing; and applications.
| Author | : Jeff Hawkins |
| Publisher | : Basic Books |
| Total Pages | : 251 |
| Release | : 2021-03-02 |
| Genre | : Computers |
| ISBN | : 1541675800 |
A bestselling author, neuroscientist, and computer engineer unveils a theory of intelligence that will revolutionize our understanding of the brain and the future of AI. For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world—not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought. A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word. One of the Financial Times' Best Books of 2021 One of Bill Gates' Five Favorite Books of 2021
| Author | : Julien Mayor |
| Publisher | : World Scientific |
| Total Pages | : 287 |
| Release | : 2013-11-18 |
| Genre | : Science |
| ISBN | : 9814458856 |
Computational Models of Cognitive Processes collects refereed versions of papers presented at the 13th Neural Computation and Psychology Workshop (NCPW13) that took place July 2012, in San Sebastian (Spain). This workshop series is a well-established and unique forum that brings together researchers from such diverse disciplines as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their latest work on models of cognitive processes.
| Author | : Antonio Chella |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 361 |
| Release | : 2012-09-29 |
| Genre | : Computers |
| ISBN | : 3642342736 |
The challenge of creating a real-life computational equivalent of the human mind requires that we better understand at a computational level how natural intelligent systems develop their cognitive and learning functions. In recent years, biologically inspired cognitive architectures have emerged as a powerful new approach toward gaining this kind of understanding (here “biologically inspired” is understood broadly as “brain-mind inspired”). Still, despite impressive successes and growing interest in BICA, wide gaps separate different approaches from each other and from solutions found in biology. Modern scientific societies pursue related yet separate goals, while the mission of the BICA Society consists in the integration of many efforts in addressing the above challenge. Therefore, the BICA Society shall bring together researchers from disjointed fields and communities who devote their efforts to solving the same challenge, despite that they may “speak different languages”. This will be achieved by promoting and facilitating the transdisciplinary study of cognitive architectures, and in the long-term perspective – creating one unifying widespread framework for the human-level cognitive architectures and their implementations. This book is a proceedings of the Third Annual Meeting of the BICA Society, which was hold in Palermo-Italy from October 31 to November 2, 2012. The book describes recent advances and new challenges around the theme of understanding how to create general-purpose humanlike artificial intelligence using inspirations from studies of the brain and the mind.
