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Computational Intelligence and Mathematics for Tackling Complex Problems 3

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational Intelligence and Mathematics for Tackling Complex Problems 3/ edited by István Á. Harmati, László T. Kóczy, Jesús Medina, Eloísa Ramírez-Poussa.
其他作者:	Ramírez-Poussa, Eloísa.
面頁冊數:	XIII, 220 p. 20 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-74970-5
ISBN:	9783030749705

Computational Intelligence and Mathematics for Tackling Complex Problems 3
Computational Intelligence and Mathematics for Tackling Complex Problems 3[electronic resource] /edited by István Á. Harmati, László T. Kóczy, Jesús Medina, Eloísa Ramírez-Poussa. - 1st ed. 2022. - XIII, 220 p. 20 illus.online resource. - Studies in Computational Intelligence,9591860-9503 ;. - Studies in Computational Intelligence,564.

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.

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 the vast 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 regularrly attend the annual European Symposia on Computational Intelligence and Mathematics (ESCIM). Some relevant papers from the last ESCIM-2020 are included in this volume. .

ISBN: 9783030749705

Standard No.: 10.1007/978-3-030-74970-5doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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