Deterministic Artificial Intelligence
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 mathemat...
Guardat en:
| Format: | Online |
|---|---|
| Idioma: | anglès |
| Publicat: |
IntechOpen
2021
|
| Matèries: | |
| Accés en línia: | ONIX_20210420_9781789841121_2880 |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|
| _version_ | 1869526724339826688 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-67520 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-675202024-04-14T10:28:21Z Deterministic Artificial Intelligence Sands, Timothy Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence 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. 2021-04-20T16:16:45Z 2021-04-20T16:16:45Z 2020 book ONIX_20210420_9781789841121_2880 9781789841121 9781789841114 9781838807283 https://directory.doabooks.org/handle/20.500.12854/67520 eng image/jpeg Attribution-NonCommercial 4.0 International https://www.intechopen.com/books https://mts.intechopen.com/storage/books/8841/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.81309 10.5772/intechopen.81309 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781789841121 9781789841114 9781838807283 IntechOpen 178 open access |
| spellingShingle | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Deterministic Artificial Intelligence |
| title | Deterministic Artificial Intelligence |
| title_full | Deterministic Artificial Intelligence |
| title_fullStr | Deterministic Artificial Intelligence |
| title_full_unstemmed | Deterministic Artificial Intelligence |
| title_short | Deterministic Artificial Intelligence |
| title_sort | deterministic artificial intelligence |
| topic | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| topic_facet | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| url | ONIX_20210420_9781789841121_2880 |