Artificial and Computational Intelligence Innovations in Symbolic and Soft Computing for Theoretical and Applied Science

Dear Colleagues,

In the rapidly advancing domain of contemporary technology, the enhanced computational capabilities available today and the expansive possibilities offered by various advanced computing platforms, such as Wolfram Mathematica, Maxima, Maple, and others, render the integration of symbolic and soft computations not merely beneficial but critically essential in the applied sciences, particularly within engineering domains. The majority of challenges encountered in these fields can be efficiently modeled using mathematical frameworks. Despite the inherent uncertainty and ambiguity frequently present in data relevant to such computations, the necessity for precision and simplification in numerical computation formulas remains vital. Symbolic and soft computations, as illustrated by the aforementioned platforms, provide an exceptionally effective solution to address these complex issues. Among the emerging trends, large language models and generative AI play a more and more important role.

This Special Issue focuses on the cutting-edge advancements in symbolic soft computations and mathematical algorithms, investigating their applications across a wide array of scientific and practical challenges in areas such as engineering, physics, biology, (bio)medicine, and economics. The objective is to reveal the diverse applications of mathematical soft computations, highlight the latest advancements, and foster a vibrant forum for knowledge exchange among professionals from various scientific and practical fields. While the primary focus is on the specified computational platforms, the exploration is not limited to them. The prospect of unveiling optimized algorithms within these platforms is particularly noteworthy, offering the potential to enhance the efficiency of scientists and practitioners, enabling them to focus more substantively on the core merits of their work.

Dr. Ryszard Walentyński
Dr. Rafal Brociek
Guest Editors

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