Item Tag: Autonomous Press

Typed Words, Loud Voices

Typed Words, Loud Voices by Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less

Autonomous Agents: From Self-Control to Autonomy – Paperback

This textbook titled “Autonomous Agents: From Self-Control to Autonomy” is a valuable resource for those interested in the field of autonomous agents and their development. The book is published by Oxford University Press, Incorporated and authored by Alfred R. MeLE. It has a total of 282 pages and is available in a trade paperback format. The book covers a wide range of topics related to autonomous agents, including self-control, autonomy, and decision-making processes. It is written in English and is suitable for students, researchers, and professionals in the field. Whether you are looking to expand your knowledge or simply interested in learning more about autonomous agents, this book is an excellent choice.

Autonomous Horizons: The Way Forward 2019 Zacharias US Air Force Strategy Plans

“Autonomous Horizons: The Way Forward” is a 388 page, 7″x9.75″ hardcover written by Greg L. Zacharias and published in 2019 by Air University Press. It’s in very good condition, with no dust jacket (as issued). The laminated boards show light rubbing and edge wear. The interior is unmarked, the binding tight. Synopsis:As the Air Force realigns itself from a counterterrorism focus to dealing with near-peer rivalries with potential existential consequences, a “business as usual” approach to systems development will no longer suffice: we will not be able to continue with incremental advances on concepts developed decades ago. Instead, we need new technologies, affording us new capabilities, and new operational concepts to employ them. Fortunately, there now exists a broad and deep technology push in the information sciences, particularly in the area of autonomous system (AS) development and its associated foundational technology, artificial intelligence (AI). Our knowledge of cognition and neurophysiology— the basis of what makes us “smart,” most of the time—grows at a dizzying pace, while our ability to build autonomous systems—like self-driving cars and game-playing robots—continues to make frontpage news, as new AI algorithms and learning techniques are developed and employed in novel ways. And these advances are compounded by explosive gains in the underlying computational infrastructure afforded by Moore’s law growth in computational power, memory, networking, and data availability.