Computational Intelligence and Mathematics for Tackling Complex Problems 3

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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.

Presents an investigation of connections and synergy between mathematics and computational intelligence offers effective and efficient solutions to complex, real world and sometimes unsolvable" problems Presents advanced methodologies, tools and techniques of computational intelligence rooted in the vast apparatus of traditional mathematics Written by experts in the field

Inhalt
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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030749699
    • Genre Technology Encyclopedias
    • Auflage 1st edition 2022
    • Editor István Á. Harmati, Eloísa Ramírez-Poussa, Jesús Medina, László T. Kóczy
    • Lesemotiv Verstehen
    • Anzahl Seiten 236
    • Herausgeber Springer International Publishing
    • Größe H241mm x B160mm x T19mm
    • Jahr 2021
    • EAN 9783030749699
    • Format Fester Einband
    • ISBN 303074969X
    • Veröffentlichung 26.08.2021
    • Titel Computational Intelligence and Mathematics for Tackling Complex Problems 3
    • Untertitel Studies in Computational Intelligence 959
    • Gewicht 524g
    • Sprache Englisch

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