Neurosymbolic AI

Neurosymbolic AI: Foundations and Applications, 1st Edition, delivers a dedicated reference on hybrid artificial intelligence logic. The text investigates how researchers combine symbolic representations with neural networks to address structural limitations in modern artificial intelligence models.

The thematic focus centers on core deep learning challenges, specifically examining generalizability, explainability, and model robustness. The volume connects these theoretical concepts to practical execution by analyzing real-world applications across healthcare platforms, financial systems, autonomous driving networks, and military operational settings.

Comprising 496 pages in print format, this reference volume provides structured material to support advanced study. It directly aligns with the academic needs of students in computer science, machine learning, and data science who require grounded coverage of neuro-symbolic architectures.