Lawless william f (81 risultati)

paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

paperback. Condizione: As New. Like New - Ships within 24 hours.

Paperback. Condizione: Brand New. 224 pages. 8.50x5.50x0.63 inches. In Stock.

Condizione: New. pp. 256.

Condizione: New. pp. 256.

Condizione: New. &Uumlber den AutorWilliam F. Cook III (PhD, New Orleans Baptist Theological Seminary) is professor of New Testament interpretation at The Southern Baptist Theological Seminary and lead pastor of Ninth and O Baptist Church in Loui.

Paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New. 1st ed. 2021. Many current AI and machine learning algorithms and data and information fusion processes attempt in software to estimate situations in our complex world of nested feedback loops. Such algorithms and processes must gracefully and efficiently adapt to technical challenges such as data quality induced by these loops, and interdependencies that vary in complexity, space, and time.To realize effective and efficient designs of computational systems, a Systems Engineering perspective may provide a framework for identifying the interrelationships and patterns of change between components rather than static snapshots. We must study cascading interdependencies through this perspective to understand their behavior and to successfully adopt complex system-of-systems in society. This book derives in part from the presentations given at the AAAI 2021 Spring Symposium session on Leveraging Systems Engineering to Realize Synergistic AI / Machine Learning Capabilities. Its 16 chapters offer an emphasis on pragmatic aspects and address topics in systems engineering; AI, machine learning, and reasoning; data and information fusion; intelligent systems; autonomous systems; interdependence and teamwork; human-computer interaction; trust; and resilience.…

Soft cover. Condizione: Very Good. 1st Edition. Very Good, approaching Near Fine; see scans and description. Chicago: Educational Foundation for Nuclear Science, 1985. The November, 1985 issue of The Bulletin of the Atomic Scientists. Anita Kunz cover art. The famous and historic Doomsday Clock - shown on each cover since 1947, two years after the publication's inception - here shows the time to be just 3 minutes of midnight as of late 1985. That's about as close as it had been to that point. Quarto, illustrated staple-bound wraps, 57 pp. A stout Very Good; subscriber's label at front cover, faint age-toning at perimeter of the white covers; no other exterior flaws, and the interior is quite literally as new and immaculate. See scans. Firmly bound, contents bright, tipped-in cardstock offers remain untouched. A sturdy example; see all scans. Established in 1945 by biophysicist Eugene Rabinowitch and physicist Hyman Goldsmith in response to a correctly-perceived demand for nuclear information at the time by the general public, The Bulletin of the Atomic Scientists is without doubt the most historically significant non-technical publication on the subject of "'global security and public policy issues related to the dangers posed by nuclear and other weapons of mass destruction, climate change,[2] and emerging technologies and diseases". Hence - a geopolitical instrument that became more than a nuclear watchdog. Feature articles in this now-vintage 1987 issue: U.S.-Soviet Summit (11th); Weapons Design Impedes Test Ban; Spent Nuclear Fuel and Waste; Gorbachev's Policy Innovations; Sea Provocations; Les Aspin; Pugwash Council . More, of course. A more-activist-than-average issue. Contributors include Harrison Brown (Editor); William M. Arkin; John Isaacs; Hugh E. DeWitt; Gerald E. Marsh; Coit D. Blacker; Archie Brown; Alan B. Sherr; Sidney N. Graybeal; Michael Krepon; Jack N. Barkenbus; Alvin M. Weinberg; Marcelo Alonso; William F. Lawless; Paul Good. Very scarce as the original monthly softcover issue. Ships in a new, sturdy, protective box - not a bag. LPR44. …

Condizione: New.

Condizione: New.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: New.

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Condizione: New.

Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Condizione: New.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Many current AI and machine learning algorithms and data and information fusion processesattempt in software to estimate situations in our complex world of nested feedback loops. Suchalgorithms and processes must gracefully and efficiently adapt to technical challenges such asdata quality induced by these loops, and interdependencies that vary in complexity, space, andtime.To realize effective and efficient designs of computational systems, a Systems Engineeringperspective may provide a framework for identifying the interrelationships and patterns ofchange between components rather than static snapshots. We must study cascadinginterdependencies through this perspective to understand their behavior and to successfullyadopt complex system-of-systems in society.This book derives in part from the presentations given at the AAAI 2021 Spring Symposiumsession on Leveraging Systems Engineering to Realize Synergistic AI / Machine LearningCapabilities. Its 16 chapters offer an emphasis on pragmatic aspects and address topics insystems engineering; AI, machine learning, and reasoning; data and information fusion;intelligent systems; autonomous systems; interdependence and teamwork; human-computerinteraction; trust; and resilience.…

Paperback. Condizione: Brand New. 328 pages. 9.25x6.14x0.94 inches. In Stock.

Condizione: New.

hardcover. Condizione: Very Good.

Taschenbuch. Condizione: Neu. Engineering Artificially Intelligent Systems | A Systems Engineering Approach to Realizing Synergistic Capabilities | William F. Lawless (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xii | Englisch | 2021 | Springer | EAN 9783030893842 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Neuware.

Paperback. Condizione: New. 1st ed. 2021. Many current AI and machine learning algorithms and data and information fusion processes attempt in software to estimate situations in our complex world of nested feedback loops. Such algorithms and processes must gracefully and efficiently adapt to technical challenges such as data quality induced by these loops, and interdependencies that vary in complexity, space, and time.To realize effective and efficient designs of computational systems, a Systems Engineering perspective may provide a framework for identifying the interrelationships and patterns of change between components rather than static snapshots. We must study cascading interdependencies through this perspective to understand their behavior and to successfully adopt complex system-of-systems in society. This book derives in part from the presentations given at the AAAI 2021 Spring Symposium session on Leveraging Systems Engineering to Realize Synergistic AI / Machine Learning Capabilities. Its 16 chapters offer an emphasis on pragmatic aspects and address topics in systems engineering; AI, machine learning, and reasoning; data and information fusion; intelligent systems; autonomous systems; interdependence and teamwork; human-computer interaction; trust; and resilience.…