Multiple approaches to intelligent systems

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We never create anything; we discover and reproduce. The Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems focuses on bridging the gap between academia and industry in AI and Expert Systems. Academia primarily seeks to discover new algorithms and methodologies, while industry is driven by profit and the need to solve customer problems. A decade ago, the divide between these realms was significant, but recent developments have narrowed this gap through new fields and collaborative research strategies. Key areas contributing to this convergence include knowledge representation, machine learning, distributed AI, neural networks, data mining, intelligent agents, robotics, and more. Notably, the outcomes of research in these fields often lead to product development rather than just theoretical proofs. The applications of these technologies have achieved notable success in various sectors, including fraud detection, banking, telecommunications, and internet services. This progress has prompted leading corporations to establish research funding programs for academic institutions, while others have developed their own research laboratories that produce cutting-edge work.