„Systems Programming“

Suchergebnisse

10.000+ Treffer

• Melanie Mitchell: Artificial intelligence—a guide for thinking humans – Picador, New York, 2019, 336 pp, ISBN: 978-1-250-75804-0
  Özkiziltan, Didem
• Robert Elliott Smith: Rage Inside the Machine—the prejudice of algorithms, and how to stop the internet making bigots of us all – Bloomsbury business, 2019, 344 pp., ISBN 9781472963888
  Magdy, Walid
• Kate Crawford: Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence – ISBN: 978-0300209570, Yale University Press (6. April 2021), 336 S., € 21.99
  Portmann, Edy
• Rudolf Seising: Es denkt nicht: die vergessenen Geschichten der KI – ISBN: 978-3763272341, Büchergilde Gutenberg, (2021), 160 S., € 18,00
  Portmann, Edy
• Tim Taylor and Alan Dorin: Rise of the self-replicators—early visions of machines, AI and robots that can reproduce and evolve – Springer International Publishing, Cham, Switzerland, 121 pp, € 84.99 (Softcover), ISBN: 978-3-030-48,233-6
  Nichele, Stefano
• Buchrezension – Ada Byron Lovelace and the Thinking Machine
  Furrer, Frank J.
• Virginia Dignum: Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way – Springer Nature Switzerland AG, 2019. ISBN 978-3-030-30370-9 ISBN 978-3-030-30371-6
  Gold, Nicolas E.
• Arthur I. Miller: The artist in the machine: the world of AI-powered creativity – The MIT Press, 2019, 32 colour ills, 432 pp, ISBN: 9780262354592; 9780262539623
  Olszewska, Anna
• Joseph E. Aoun: Robot-proof: higher education at the age of artificial intelligence – MIT Press, 2018, pp 216, ISBN: 978-0-262-53597-7
  Ulloa-Cazarez, Rosa Leonor
• Walter Hower: Informatik-Bausteine – Eine komprimierte Einführung – Springer Vieweg, Wiesbaden 2019, ISBN: 978-3-658-01279-3
  Plecher, David A.
• Roger A. Grimes. Cryptography Apocalypse: Preparing for the Day When Quantum Computing Breaks Today’s Crypto – John Wiley & Sons Inc., Hoboken, N.J., USA, 2020. ISBN 978-1-119-61819-5
  Furrer, Frank J.
• Juan C. Burguillo: Self-organizing coalitions for managing complexity – Springer, 2018, 187 pp, ISBN 978-3-319-69896-0
  Ombuki-Berman, B.
• Cameron Browne: Evolutionary game design, Springer briefs in computer science series – Springer 2011, ISBN: 978-1-4471-2178-7
  Boumaza, Amine
• Simulation-Based Algorithms for Markov Decision Processes
  Chang, Hyeong Soo ; Hu, Jiaqiao ; Fu, Michael ; Marcus, Steven I. 2013 Springer London
• Hitoshi Iba: Evolutionary approach to machine learning and deep neural networks: neuro-evolution and gene regulatory networks – Springer, 2018, Hardcover, 245 pp, ISBN: 978-981-13-0199-5
  Vidnerová, Petra
• Georgios N. Yannakakis and Julian Togelius: Artificial Intelligence and Games – Springer, 2018, Print ISBN: 978-3-319-63518-7, Online ISBN: 978-3-319-63519-4, https://doi.org/10.1007/978-3-319-63519-4
  García-Sánchez, Pablo
• Evelyne Lutton, Nathalie Perrot, Alberto Tonda: Evolutionary algorithms for food science and technology – Wiley, 2016, 182 pp, ISBN: 978-1-119-13683-5
  Androutsopoulos, Kelly
• Ryan J. Urbanowicz, and Will N. Browne: Introduction to learning classifier systems – Springer, 2017, 123 pp, ISBN 978-3-662-55007-6
  Amandi, Analía
• Kathryn E. Merrick: Computational models of motivation for game-playing agents – Springer, 2016, 213 pp, ISBN: 978-3-319-33457-8
  Samothrakis, Spyridon
• Alain Pétrowski and Sana Ben-Hamida: Evolutionary Algorithms – John Wiley and Sons, Inc., Hoboken, New Jersey, USA, 2017, ISBN-13: 978-1848218048, ISBN-10: 1848218044
  Downing, Keith