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Focus and Scope
Scope and Topics
The journal welcomes original empirical research articles, foundational theoretical frameworks, algorithmic innovations, and comprehensive reviews across all dimensions of multidisciplinary intelligence. Key thematic domains include, but are not limited to:
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Artificial & Computational Intelligence: Deep learning architectures, reinforcement learning, evolutionary computation, neural-symbolic systems, and explainable AI (XAI).
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Cognitive Systems & Human-Machine Intelligence: Cognitive modeling, human-in-the-loop systems, affective computing, brain-computer interfaces (BCI), and collaborative decision support.
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Intelligent Robotics & Autonomous Systems: Multi-agent systems, autonomous navigation, swarm intelligence, cyber-physical systems, and robotic perception.
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Applied Multidisciplinary Analytics: AI applications in precision medicine, computational economics and FinTech, smart urban infrastructure, environmental informatics, and legal-ethical tech governance.
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Data Engineering & Semantic Technologies: Large language models (LLMs), knowledge graphs, ontology engineering, edge-cloud intelligence, and multimodal data fusion.
