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...
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| Formato: | Libro |
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IntechOpen
2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=4007339&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 4007339 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Deterministic Artificial Intelligence aug: au: Timothy Sands isbn: 9781789841114 9781838807283 imageinfo: pubinfo: dt: @attributes: year: 2020 month: 01 day: 01 dtAvail: @attributes: year: 2024 month: 10 day: 04 pub: IntechOpen pubContract: Intech Open place: London price: 0.01 limitsGroup: maxCheckoutDays: 1500 pda: N printPagesOffline: 100 printPagesOnline: 100 previewPages: 10000 prePubGroup: dewey: @attributes: class: 001.6 item: 001 .6 lc: @attributes: class: Q item: Q artinfo: ui: 4007339 1203885783 formats: fmt: @attributes: type: EB doid: NL$4007339$PDF caption: PDF download: Y tig: atl: Deterministic Artificial Intelligence ptl: Deterministic Artificial Intelligence aug: au: Timothy Sands su: Computers Electronic digital computers sug: subj: COMPUTERS / Artificial Intelligence / General Computers Electronic digital computers ab: 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. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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