Computational Intelligence and Mathematics for Tackling Complex Problems 3

István Á. Harmati, László T. Kóczy, Jesús Medina, Eloísa Ramírez-Poussa (Herausgeber)

Buch | Softcover

XIII, 220 Seiten

2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-030-74972-9 (ISBN)

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Complex problems and systems, which prevail in the real world, cannot often be tackled and solved either by traditional methods offered by mathematics or even the traditional computer science (CS) and and artificial intelligence (AI)..). What is the way out of this dilemma? Advanced methodologies, and tools and techniques, "mimicking" human reasoning or the behavior of animals, animal populations or certain parts of the living bod, based on traditional computer science science and the initial approaches of artificial intelligence are often referred to as biologically inspired methods, or often computational intelligence (CI). Computational intelligence offers effective and efficient solutions to many "unsolvable" problems problems. However, it is far from being a ready to use and complete collection of approaches, and is rather a continuously developing field without clear borders. The emerging new models and algorithms of computational intelligence are deeply rooted in thevast apparatus of traditional mathematics. Thus, the investigation of connections and synergy between mathematics and computational intelligence is an eminent goal which is periodically pursued by a group of mathematicians and computational intelligence researchers who regularly attand the annual European Symposia on Computational Intelligence and Mathematics (ESCIM). Some relevant papers from the last ESCIM-2020 are included in this volume.

Q-Fuzzy subtopology.- Lattice-valued algebraic structures via residuated maps.- Invariant aggregation and pre-aggregation functions.- Finite model property and varieties of BL-algebras.- Collection integral on infinite spaces.

Erscheinungsdatum	28.08.2022
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XIII, 220 p. 20 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	367 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Technik
Schlagworte	Artificial Intelligence • Biologically Inspired Methods • Computational Intelligence • ESCIM • Mathematics
ISBN-10	3-030-74972-X / 303074972X
ISBN-13	978-3-030-74972-9 / 9783030749729
Zustand	Neuware