Artificial General Intelligence (AGI): The Quest for Machines That Can Think Like Humans
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Abstract
The quest for artificial intelligence (AGI) revolves around creating machines that can mimic human-like cognitive abilities in various industries AGI aims to enable machines to achieve multifunctional learning, problem solving and power of reasoning similar to human reasoning. It seeks to go beyond a narrow, idiosyncratic AI by developing machines to understand and adapt to new situations by learning from experience without explicit structure.
AGI research focuses on algorithm architectures to enable autonomous learning, abstraction, and contextual understanding, with the goal of replicating human-like intelligence through disciplines such as neuroscience, computer science, and integrating cognitive psychology to model human cognition to achieve AGI.
Advances in deep learning, reinforcement learning, and neural networks are critical to improving AGI. However, challenges remain in understanding the complexity of human cognitive processes and ensuring appropriate design. Despite the progress, finding truly thinking machines like humans is still a huge endeavour between technical, ethical, and philosophical research.
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