Deterministic Artificial Intelligence by Timothy Sands (13 results)

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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnKirchhoff s laws give a mathematical description of electromechanics. Similarly, translational motion mechanics obey Newton s laws, while rotational motion mechanics comply with Euler s moment equations, a set of three nonlinear, .

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Kirchhoff¿s laws give a mathematical description of electromechanics. Similarly, translational motion mechanics obey Newton¿s laws, while rotational motion mechanics comply with Euler¿s moment equations, a set of three nonlinear, coupled differential equations. Nonlinearities complicate the mathematical treatment of the seemingly simple action of rotating, and these complications lead to a robust lineage of research culminating here with a text on the ability to make rigid bodies in rotation become self-aware, and even learn. This book is meant for basic scientifically inclined readers commencing with a first chapter on the basics of stochastic artificial intelligence to bridge readers to very advanced topics of deterministic artificial intelligence, espoused in the book with applications to both electromechanics (e.g. the forced van der Pol equation) and also motion mechanics (i.e. Euler¿s moment equations). The reader will learn how to bestow self-awareness and express optimal learning methods for the self-aware object (e.g. robot) that require no tuning and no interaction with humans for autonomous operation. The topics learned from reading this text will prepare students and faculty to investigate interesting problems of mechanics. It is the fondest hope of the editor and authors that readers enjoy the book. 178 pp. Englisch.

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Buch. Condition: Neu. Deterministic Artificial Intelligence | Timothy Sands | Buch | Gebunden | Englisch | 2020 | IntechOpen | EAN 9781789841114 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Kirchhoff¿s laws give a mathematical description of electromechanics. Similarly, translational motion mechanics obey Newton¿s laws, while rotational motion mechanics comply with Euler¿s moment equations, a set of three nonlinear, coupled differential equations. Nonlinearities complicate the mathematical treatment of the seemingly simple action of rotating, and these complications lead to a robust lineage of research culminating here with a text on the ability to make rigid bodies in rotation become self-aware, and even learn. This book is meant for basic scientifically inclined readers commencing with a first chapter on the basics of stochastic artificial intelligence to bridge readers to very advanced topics of deterministic artificial intelligence, espoused in the book with applications to both electromechanics (e.g. the forced van der Pol equation) and also motion mechanics (i.e. Euler¿s moment equations). The reader will learn how to bestow self-awareness and express optimal learning methods for the self-aware object (e.g. robot) that require no tuning and no interaction with humans for autonomous operation. The topics learned from reading this text will prepare students and faculty to investigate interesting problems of mechanics. It is the fondest hope of the editor and authors that readers enjoy the book.Books on Demand GmbH, Überseering 33, 22297 Hamburg 178 pp. Englisch.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Kirchhoff¿s laws give a mathematical description of electromechanics. Similarly, translational motion mechanics obey Newton¿s laws, while rotational motion mechanics comply with Euler¿s moment equations, a set of three nonlinear, coupled differential equations. Nonlinearities complicate the mathematical treatment of the seemingly simple action of rotating, and these complications lead to a robust lineage of research culminating here with a text on the ability to make rigid bodies in rotation become self-aware, and even learn. This book is meant for basic scientifically inclined readers commencing with a first chapter on the basics of stochastic artificial intelligence to bridge readers to very advanced topics of deterministic artificial intelligence, espoused in the book with applications to both electromechanics (e.g. the forced van der Pol equation) and also motion mechanics (i.e. Euler¿s moment equations). The reader will learn how to bestow self-awareness and express optimal learning methods for the self-aware object (e.g. robot) that require no tuning and no interaction with humans for autonomous operation. The topics learned from reading this text will prepare students and faculty to investigate interesting problems of mechanics. It is the fondest hope of the editor and authors that readers enjoy the book.