Introduction to Artificial Life

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Author :
Release : 1998
Genre : Computers
Kind :
Book Rating : 467/5 ( reviews)

Introduction to Artificial Life - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Artificial Life write by Christoph Adami. This book was released on 1998. Introduction to Artificial Life available in PDF, EPUB and Kindle. For students, researchers and professional scientist eager to gain insight into the emerging frontiers of Artifical Life, Chris Adami's work provides the basic underpinnings for properly understanding this interdisciplinary research area. The CD-ROM accompanying the book invites readers to actively experience artificial evolution in "real time" by using a proprietary simulation software program, AVIDA, which is contained on the CD.

Artificial Life

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Author :
Release : 1997
Genre : Computers
Kind :
Book Rating : 120/5 ( reviews)

Artificial Life - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Life write by Christopher G. Langton. This book was released on 1997. Artificial Life available in PDF, EPUB and Kindle. This book brings together a series of overview articles that appeared in the first three issues of the groundbreaking journal Artificial Life.

Artificial Intelligence Basics

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Release : 2019-08-01
Genre : Computers
Kind :
Book Rating : 281/5 ( reviews)

Artificial Intelligence Basics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence Basics write by Tom Taulli. This book was released on 2019-08-01. Artificial Intelligence Basics available in PDF, EPUB and Kindle. Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, Taulli uses his expertise to expand on the bigger questions that surround AI. These include societal trends, ethics, and future impact AI will have on world governments, company structures, and daily life. Google, Amazon, Facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. AI is the present and the future of your business as well as your home life. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and Artificial Intelligence Basics is the indispensable guide that you’ve been seeking. What You Will Learn Study the core principles for AI approaches such as machine learning, deep learning, and NLP (Natural Language Processing)Discover the best practices to successfully implement AI by examining case studies including Uber, Facebook, Waymo, UiPath, and Stitch FixUnderstand how AI capabilities for robots can improve businessDeploy chatbots and Robotic Processing Automation (RPA) to save costs and improve customer serviceAvoid costly gotchasRecognize ethical concerns and other risk factors of using artificial intelligenceExamine the secular trends and how they may impact your business Who This Book Is For Readers without a technical background, such as managers, looking to understand AI to evaluate solutions.

Artificial Life

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Author :
Release : 1993
Genre : Artificial intelligence
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Book Rating : 052/5 ( reviews)

Artificial Life - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Life write by Steven Levy. This book was released on 1993. Artificial Life available in PDF, EPUB and Kindle. This book looks at artificial life science - A-Life, an important new area of scientific research involving the disciplines of microbiology, evolutionary theory, physics, chemistry and computer science. In the 1940s a mathematician named John von Neumann, a man with a claim to being the father of the modern computer, invented a hypothetical mathematical entity called a cellular automaton. His aim was to construct a machine that could reproduce itself. In the years since, with the development of hugely more sophisticated and complex computers, von Neumann's insights have gradually led to a point where scientists have created, within the wiring of these machines, something that so closely simulates life that it may, arguably, be called life. This machine reproduces itself, mutates, evolves through generations and dies.

Introduction to Artificial Intelligence

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Release : 2018-01-18
Genre : Computers
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Book Rating : 871/5 ( reviews)

Introduction to Artificial Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Artificial Intelligence write by Wolfgang Ertel. This book was released on 2018-01-18. Introduction to Artificial Intelligence available in PDF, EPUB and Kindle. This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning. Topics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW); examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes’ theorem and its relevance in everyday life (NEW); discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW); includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW). Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.