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To bring together researchers, academics, and professionals from cognitive science, cognitive modeling, AI, machine learning, robotics, Natural Language Processing, Neural Networks, decision-making, perception psychology, neuroscience learning and related disciplines.
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To promote research on understanding human cognition and explores how these insights can be applied to develop more intelligent and human-like AI systems.
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To address the ethical, psychological, and societal implications of AI technologies and ensure implementations of these technologies are more responsible and human-centered design.
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To explore emerging technologies and applications that improve collaboration and communication between humans and AI systems.
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To offer the forum for sharing recent research findings, methodologies, tools, and theoretical advancements.
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To engage in discussions on how AI can augment human abilities, improve quality of life, and contribute to fields such as education, Agriculture, healthcare, and mental health.
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To include diverse perspectives from different regions and cultures to ensure inclusive and globally relevant discourse.
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To showcase papers and presentations on topics such as cognitive modeling, natural language processing, neural networks, decision-making, perception and learning.
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To encourage participation from early-career researchers and students by offering workshops, poster sessions, and networking opportunities.