Skip to content
Conference Open access

Integrating Artificial Intelligence with Traditional Predictive Knowledge Systems: A Systematic Literature Review

2026 · ITM Web of Conferences · 0 citations · 22 references

TL;DR

This comprehensive literature study delves into the evolving connection between artificial intelligence and astrology and includes topics such as automated horoscope generation, socio-ethical concerns, machine learning, predictive modelling, and user customisation.

Abstract

AI in astrology is an interdisciplinary field that brings together various fields such as computer science, linguistics, ancient prediction systems, and predictive analytics. By studying planetary movements and celestial patterns, astrologers have been able to foretell and make sense of human conduct, life events, and environmental factors for ages. This comprehensive literature study delves into the evolving connection between artificial intelligence and astrology. Astrology, along with prediction and knowledge exchange, might benefit from modern computational technologies. Included in the analysis are topics such as automated horoscope generation, socio-ethical concerns, machine learning, predictive modelling, and user customisation. Research goals, datasets, important problems, results, and limitations are all covered in this paper's review of 24 major writers' and researchers' contributions to AI-controlled astrological systems from 2015 to 2026. As a technological and philosophically diverse multidisciplinary field, future paths seek to merge astrology with artificial intelligence. Ongoing scholarly inquiry is necessary to understand its societal effects and future.

Read PDF

Similar papers

Sep 2026

Artificial Intelligence in Research and Academic Publication

The rapid adoption of large language models is accelerating scientific output faster than expert attention can scale, placing growing pressure on the scholarly communication system. This perspective examines how artificial intelligence (AI) is reshaping research and scholarly communication, from knowledge discovery to...

Yue Zhang, Qiu-Jie Xie · 0 citations

Human-centred approaches for generating and evaluating explainable AI across modalities

Since work on this thesis began in October 2022, artificial intelligence has become increasingly prevalent across everyday life, scientific research, and the global economy. ChatGPT was released the following month and, by 2026, had more than one billion weekly users. In 2024, computer scientists were among the recipie...

James Hinns · 0 citations
Review Open access Sep 2026

Artificial Intelligence with a precise research focus that signals what makes this review distinct from existing meta-analyse

Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century, permeating diverse domains including healthcare, education, business, manufacturing, and environmental science. This study presents a rigorous mixed-method review integrating PRISMA 2020 guidelines with bibliome...

Andri Dermawan, Thessy Harita Utami, N. Rahma et al. · 0 citations
Review Open access Sep 2026

Mapping the Knowledge Structure of Physical Artificial Intelligence: A Data-Driven Systematic Review

Physical artificial intelligence (PAI) has emerged as a transformative paradigm that integrates AI into physical entities, enabling direct interactions with real-world environments. However, despite rapid expansion across diverse domains, PAI research has remained highly fragmented and failed to provide a comprehensive...

Kyuho Maeng, Hyeonjun Jin, Minjun Kim · 0 citations
#explainable ai Sep 2026

The Role of Knowledge Representation & Reasoning in Deciphering Chemical Complexity

Modern chemistry is pushing the limits of traditional Artificial Intelligence (AI) models, placing unprecedented demands on data availability to address humanity's most pressing challenges. One particular concern is AI's dependence on large, curated data and its tendency to deviate from or misrepresent fundamental...

José Ferraz-Caetano, Filipe Teixeira, M. N. D. S. Cordeiro · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.