Creating an Artificial Intelligence with Predictable, But Not Deterministic, Behavior - 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 Creating an Artificial Intelligence with Predictable, But Not Deterministic, Behavior write by . This book was released on 2007. Creating an Artificial Intelligence with Predictable, But Not Deterministic, Behavior available in PDF, EPUB and Kindle.
AI for Game Developers
AI for Game Developers - 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 AI for Game Developers write by David M. Bourg. This book was released on 2004. AI for Game Developers available in PDF, EPUB and Kindle. From the author of "Physics for Game Developers," comes a new, non-threatening introduction to the complex subject of game programming.
Applying AI-Based IoT Systems to Simulation-Based Information Retrieval
Applying AI-Based IoT Systems to Simulation-Based Information Retrieval - 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 Applying AI-Based IoT Systems to Simulation-Based Information Retrieval write by Madhulika, Bhatia. This book was released on 2023-05-01. Applying AI-Based IoT Systems to Simulation-Based Information Retrieval available in PDF, EPUB and Kindle. Communication based on the internet of things (IoT) generates huge amounts of data from sensors over time, which opens a wide range of applications and areas for researchers. The application of analytics, machine learning, and deep learning techniques over such a large volume of data is a very challenging task. Therefore, it is essential to find patterns, retrieve novel insights, and predict future behavior using this large amount of sensory data. Artificial intelligence (AI) has an important role in facilitating analytics and learning in the IoT devices. Applying AI-Based IoT Systems to Simulation-Based Information Retrieval provides relevant frameworks and the latest empirical research findings in the area. It is ideal for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society and trust at the levels of the global economy, networks and organizations, teams and work groups, information systems, and individuals as actors in the networked environments. Covering topics such as blockchain visualization, computer-aided drug discovery, and health monitoring, this premier reference source is an excellent resource for business leaders and executives, IT managers, security professionals, data scientists, students and faculty of higher education, librarians, hospital administrators, researchers, and academicians.
AI for Game Developers
AI for Game Developers - 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 AI for Game Developers write by David M Bourg. This book was released on 2004-07-23. AI for Game Developers available in PDF, EPUB and Kindle. Written for the novice AI programmer, this text introduces the reader to techniques such as finite state machines, fuzzy logic, neural networks and many others in an easy-to-understand language, supported with code samples throughout the text.
Predictability of Chaotic Dynamics
Predictability of Chaotic Dynamics - 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 Predictability of Chaotic Dynamics write by Juan C. Vallejo. This book was released on 2019-10-25. Predictability of Chaotic Dynamics available in PDF, EPUB and Kindle. This book is primarily concerned with the computational aspects of predictability of dynamical systems - in particular those where observations, modeling and computation are strongly interdependent. Unlike with physical systems under control in laboratories, in astronomy it is uncommon to have the possibility of altering the key parameters of the studied objects. Therefore, the numerical simulations offer an essential tool for analysing these systems, and their reliability is of ever-increasing interest and importance. In this interdisciplinary scenario, the underlying physics provide the simulated models, nonlinear dynamics provides their chaoticity and instability properties, and the computer sciences provide the actual numerical implementation. This book introduces and explores precisely this link between the models and their predictability characterization based on concepts derived from the field of nonlinear dynamics, with a focus on the strong sensitivity to initial conditions and the use of Lyapunov exponents to characterize this sensitivity. This method is illustrated using several well-known continuous dynamical systems, such as the Contopoulos, Hénon-Heiles and Rössler systems. This second edition revises and significantly enlarges the material of the first edition by providing new entry points for discussing new predictability issues on a variety of areas such as machine decision-making, partial differential equations or the analysis of attractors and basins. Finally, the parts of the book devoted to the application of these ideas to astronomy have been greatly enlarged, by first presenting some basics aspects of predictability in astronomy and then by expanding these ideas to a detailed analysis of a galactic potential.
