Computational Intelligence and Mathematics for Tackling Complex Problems 3

Computational intelligence (CI) is an advanced methodology that mimics human reasoning or the behavior of animals to solve complex problems. It is rooted in traditional mathematics and is continuously developing, with ESCIM-2020 including relevant papers.

Format: Paperback / softback
Length: 220 pages
Publication date: 27 August 2022
Publisher: Springer Nature Switzerland AG

Complex problems and systems that exist in the real world often pose significant challenges to traditional approaches offered by mathematics, computer science (CS), and artificial intelligence (AI). These traditional methods struggle to effectively tackle and solve these complex problems. To address this dilemma, advanced methodologies, tools, and techniques have emerged, known as biologically inspired methods or computational intelligence (CI). These methods aim to mimic human reasoning or the behavior of animals, animal populations, or specific aspects of the living body, drawing inspiration from traditional computer science and initial approaches of AI.

Computational intelligence offers promising solutions to a wide range of "unsolvable problems." It employs advanced algorithms and models to analyze and interpret data, making informed decisions and solving complex tasks. However, it is important to note that computational intelligence is a rapidly evolving field, still in its early stages of development. It lacks a comprehensive and standardized framework, and researchers are continuously exploring new models and algorithms to improve its effectiveness.

The emerging new models and algorithms of computational intelligence are deeply rooted in the vast apparatus of traditional mathematics. This connection between mathematics and computational intelligence has led to ongoing research efforts to investigate the relationships and synergies between these two fields. The annual European Symposia on Computational Intelligence and Mathematics (ESCIM) serve as a platform for mathematicians and computational intelligence researchers to exchange ideas, share research findings, and collaborate on advancing the boundaries of computational intelligence.

In this volume, we present a selection of relevant papers from the recent ESCIM-2020 conference. These papers showcase the latest advancements in computational intelligence and mathematics, highlighting the potential for interdisciplinary collaboration and the development of innovative solutions to complex problems.

By leveraging the strengths of both mathematics and computational intelligence, we can unlock new avenues for research and innovation, addressing the challenges posed by the real world and driving progress in various fields. The future of computational intelligence lies in the continued exploration of these connections, the development of more sophisticated algorithms, and the application of computational intelligence to real-world problems.

Weight: 367g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030749729
Edition number: 1st ed. 2022