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Bio Inspired Artificial Intelligence

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Bio Inspired Artificial Intelligence

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Author : Dario Floreano
language : en
Publisher: MIT Press
Release Date : 2008-08-22

Bio Inspired Artificial Intelligence written by Dario Floreano and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-22 with Computers categories.

A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.

Bio Inspired Artificial Intelligence

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Author : Dario Floreano
language : en
Publisher: MIT Press
Release Date : 2023-04-04

Engineering Applications Of Bio Inspired Artificial Neural Networks

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Author : Jose Mira
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-05-19

Engineering Applications Of Bio Inspired Artificial Neural Networks written by Jose Mira 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 1999-05-19 with Computers categories.

This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial and Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 91 revised papers presented were carefully reviewed and selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation and implementation, image processing, and engineering applications.

Advances In Quantum Inspired Artificial Intelligence

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Author : Satchidananda Dehuri
language : en
Publisher: Springer Nature
Release Date : 2025-06-02

Advances In Quantum Inspired Artificial Intelligence written by Satchidananda Dehuri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-02 with Computers categories.

This book advances the artificial intelligence techniques by strongly inspired from quantum computing. Quantum computing (QC), rooted in the mysterious principles of quantum mechanics, has fascinated scientists, researchers, and visionaries for a long time. Its potential lies in changing how we compute, moving from classical bits to quantum bits (qubits), and unlocking incredible processing capabilities. At the same time, artificial intelligence (AI) has been on a trajectory of rapid advancement, with deep learning becoming proficient at tasks that were once deemed impossible. At this juncture, integrating these two fields through various means can play a pivotal role to bring a technological revolution.

Bioinspired Systems For Translational Applications From Robotics To Social Engineering

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Author : José Manuel Ferrández Vicente
language : en
Publisher: Springer Nature
Release Date : 2024-05-30

Bioinspired Systems For Translational Applications From Robotics To Social Engineering written by José Manuel Ferrández Vicente and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-30 with Computers categories.

The two volume set LNCS 14674 and 14675 constitutes the proceedings of the 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, which took place in Olhâo, Portugal, during June 4–7, 2024. The 99 full papers presented in these proceedings were carefully reviewed and selected from 193 submissions. They were organized in topical sections as follows: Part I: Machine learning in neuroscience; artificial intelligence in neurophysiology; neuromotor and cognitive disorders; intelligent systems for assessment, treatment, and assistance in early stages of Alzheimer's disease and other dementias; socio-cognitive, affective and physiological computing; affective computing and context awareness in ambientintelliigence; learning tools to lecture; Part II: Machine learning in computer vision and robotics; bio-inspired computing approaches; social and civil engineering through human AI translations; smart renewable energies: advancing AI algorithms in the renewable energy industry; bioinspired applications.

Bio Inspired Data Driven Distributed Energy In Robotics And Enabling Technologies

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Author : Abhishek Kumar
language : en
Publisher: CRC Press
Release Date : 2024-12-10

Bio Inspired Data Driven Distributed Energy In Robotics And Enabling Technologies written by Abhishek Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-10 with Computers categories.

This book begins by introducing bio-inspired data-driven computation techniques, discussing bio-inspired swarm models, and highlighting the development of interactive bio-inspired energy harvesting systems to drive transportation infrastructure. It further covers important topics such as efficient control systems for distributed and hybrid renewable energy sources, and smart energy management systems for developing intelligent systems. This book: Presents data-driven intelligent heuristics for improving and advancing environmental sustainability in both eco-cities and smart cities. Discusses various efficient control systems for distributed and hybrid renewable energy sources and enhance the scope of smart energy management systems for developing even intelligent systems. Showcases how distributed energy systems improve the data-driven robots in the Internet of Medical Things. Highlights practical approaches to optimize power generation, reduce costs through efficient energy, and reduce greenhouse gas emissions to the possible minimum. Covers bio-inspired swarm models, smart data-driven sensing to combat environmental issues, and futuristic data-driven enabled schemes in blockchain-fog-cloud assisted medical eny ecosystem. The text is primarily written for graduate students, and academic researchers in diverse fiergelds including electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering.

Decoding Artificial Intelligence

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Author : Pabitra Banerjee
language : en
Publisher: Pabitra Banerjee
Release Date : 2023-12-31

Decoding Artificial Intelligence written by Pabitra Banerjee and has been published by Pabitra Banerjee this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-31 with Computers categories.

Decoding Artificial Intelligence stands as a testament to the profound expertise and passion of its author, Pabitra Banerjee. In this illuminating journey through the realms of technology, Pabitra, a distinguished Full-Stack AI Engineer and visionary tech enthusiast, extends an invitation to readers to unravel the intricacies of artificial intelligence. This comprehensive guide transcends the ordinary, providing a nuanced understanding of AI's evolution, from its historical roots to the cutting-edge advancements in deep learning and machine learning. Pabitra's expertise shines through as he meticulously guides readers through the development of AI models, algorithm selection, and the critical evaluation processes that define the landscape of artificial intelligence. More than just a technical manual, Decoding Artificial Intelligence delves into the ethical considerations of AI, emphasizing the responsible application of these technologies for the betterment of society. Pabitra skillfully weaves real-world applications, case studies, and future trends into the narrative, making this book an invaluable companion for both novices and seasoned professionals on the AI journey. As you turn the pages, you'll not only gain a profound understanding of the intricate workings of AI but also embark on a thought-provoking exploration of its societal impact. Decoding Artificial Intelligence is not just a book; it's a guided tour through the fascinating world of AI, where Pabitra Banerjee serves as your trusted navigator, leading you through the complexities and possibilities of artificial intelligence.

Bio Inspired Optimization Techniques In Blockchain Systems

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Author : Vignesh, U.
language : en
Publisher: IGI Global
Release Date : 2024-01-29

Bio Inspired Optimization Techniques In Blockchain Systems written by Vignesh, U. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-29 with Computers categories.

In the dynamic landscape of bioinformatics and blockchain technology, a profound challenge is evident: ensuring secure exchange and analysis of complex biological data while maintaining data integrity and ownership. Traditional methods fall short in seamlessly transferring genomic data, spurring the fusion of blockchain innovation and optimization algorithms as a groundbreaking solution. Biology-Inspired Optimization Techniques in Blockchain Systems directly addresses the data integrity and ownership dilemma in bioinformatics and blockchain. Despite the intricacies of genomic data, blockchain's potential solution faces obstacles like data volume and slow transactions. These challenges are adeptly overcome through optimization algorithms. The book, authored by experts in bioinformatics, blockchain, and optimization, offers a comprehensive guide, showcasing how blockchain architecture and biological data intricacies can harmonize. It provides a blueprint for using blockchain to store genomic variants and aligned reads. This work empowers developers, data scientists, and researchers to overcome technological barriers, redefining the landscape of bioinformatics and beyond.

Artificial Intelligence Evolutionary Computing And Metaheuristics

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Author : Xin-She Yang
language : en
Publisher: Springer
Release Date : 2012-07-27

Artificial Intelligence Evolutionary Computing And Metaheuristics written by Xin-She Yang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-27 with Technology & Engineering categories.

Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it is hard to imagine how the world would be without computers and the Internet. Without Turing's work, especially the core concept of Turing Machine at the heart of every computer, mobile phone and microchip today, so many things on which we are so dependent would be impossible. 2012 is the Alan Turing year -- a centenary celebration of the life and work of Alan Turing. To celebrate Turing's legacy and follow the footsteps of this brilliant mind, we take this golden opportunity to review the latest developments in areas of artificial intelligence, evolutionary computation and metaheuristics, and all these areas can be traced back to Turing's pioneer work. Topics include Turing test, Turing machine, artificial intelligence, cryptography, software testing, image processing, neural networks, nature-inspired algorithms such as bat algorithm and cuckoo search, and multiobjective optimization and many applications. These reviews and chapters not only provide a timely snapshot of the state-of-art developments, but also provide inspiration for young researchers to carry out potentially ground-breaking research in the active, diverse research areas in artificial intelligence, cryptography, machine learning, evolutionary computation, and nature-inspired metaheuristics. This edited book can serve as a timely reference for graduates, researchers and engineers in artificial intelligence, computer sciences, computational intelligence, soft computing, optimization, and applied sciences.

Choice Computing Machine Learning And Systemic Economics For Choosing

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Author : Parag Kulkarni
language : en
Publisher: Springer Nature
Release Date : 2022-08-28

Choice Computing Machine Learning And Systemic Economics For Choosing written by Parag Kulkarni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-28 with Technology & Engineering categories.

This book presents thoughts and pathways to build revolutionary machine learning models with the new paradigm of machine learning to adapt behaviorism. It focuses on two aspects – one focuses on architecting a choice process to lead users on the certain choice path while the second focuses on developing machine learning models based on choice paradigm. This book is divided in three parts where part one deals with human choice and choice architecting models with stories of choice architects. Second part closely studies human choosing models and deliberates on developing machine learning models based on the human choice paradigm. Third part takes you further to look at machine learning based choice architecture. The proposed pioneering choice-based paradigm for machine learning presented in the book will help readers to develop products – help readers to solve problems in a more humanish way and to negotiate with uncertainty in a more graceful but in an objective way. It will help to create unprecedented value for business and society. Further, it will unveil a new paradigm for modern intelligent businesses to embark on the new journey; the journey of transition from shackled feature rich and choice poor systems to feature flexible and choice rich natural behaviors.

Bio Inspired Artificial Intelligence

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