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Multiple Traditions in Artificial Intelligence
Artificial intelligence consists of multiple traditions, including the perceptron, symbolic AI, and reaction diffusion patterns. Neural networks can be trained to perform systematic reasoning, but they still differ from the way computation is implemented in biological systems. While current AI models have limitations in interfacing with biological systems in real time, they could potentially achieve bidirectional feedback loops similar to the way human minds interact with each other and with animals, resulting in shared mental states and perceptual empathy.