Emerging trends in hybrid information systems modeling in artificial intelligence
Abstract
This chapter provides a comprehensive overview of emerging trends and challenges in developing hybrid information systems for artificial intelligence (AI) applications. Hybrid AI combines multiple techniques like machine learning, rule-based systems, and symbolic AI to create more robust and versatile solutions. The chapter elucidates the growing adoption of ensemble learning to improve model performance by aggregating diverse base model predictions. Combining neural networks with rule-based systems for enhanced decision-making capabilities is also explored. Additionally, the fusion of reinforcement ...
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