Modeling Complex Processes Through Nature-Analogous Methods Artificial Intelligence and Artificial Life /

Modeling Complex Processes Through Nature-Analogous Methods Artificial Intelligence and Artificial Life /

Podrobná bibliografie
Hlavní autoři: Klüver, Christina (Autor), Klüver, Jürgen (Autor), Schmidt, Jörn (Autor)
Korporativní autor: SpringerLink (Online service)
Shrnutí:XII, 366 p. 205 illus., 114 illus. in color.
text
Jazyk:angličtina
Vydáno: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer, 2025.
Vydání:1st ed. 2025.
Témata:
Computational intelligence.
Control engineering.
Robotics.
Automation.
Artificial intelligence.
Computational Intelligence.
Control, Robotics, Automation.
Artificial Intelligence.
On-line přístup:https://doi.org/10.1007/978-3-658-46510-0
Médium: Elektronický zdroj Kniha
Obsah:
  • Bottom-up models, complex systems, and nature-analogous methods of AI and AL
  • Self-organizing systems: cellular automata, Boolean networks, and neighborhood generating algorithms
  • The modeling of adaptive processes through evolutionary algorithms
  • Modeling learning systems through neural networks
  • Modeling the imprecise: fuzzy set theory and fuzzy logic
  • Hybridizations of the basic models
  • Summary and perspectives.

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