Philosophical Foundations of Artificial General Intelligence: A Comparative Inquiry
DOI:
https://doi.org/10.64137/XXXXXXXX/IJMHSS-V1I1P104Keywords:
Artificial General Intelligence (AGI), Philosophy of artificial intelligence, Strong AI vs. weak AI, Embodiment, Symbol grounding, Causality, Memory, Machine consciousness, Cognitive science, Interdisciplinary inquiryAbstract
AGI research is strongly connected to philosophy, since it helps us think about intelligence, consciousness and what the mind is. This study goes into the philosophical support systems that guide AGI research by drawing on old and new perspectives. One of the central debates is whether machines can truly have minds and consciousness like humans ("strong AI") or if they can only imitate human behavior in the form of "weak AI." For humans to have artificial general intelligence, it is necessary to rely on basic concepts such as embodiment, symbol grounding, causality and memory, like we see in biological cognition. This part of the analysis looks at the difference between Western traditions focused on logic and computing and newer ways that combine understanding from neuroscience, evolutionary theory and Eastern philosophies. Even with technological advancements, AGI is still only theorized, as there are still debates over what makes intelligence and consciousness, whether machines could have minds and the ethical effects of producing self-thinking machines. When we compare different philosophical standpoints, we can highlight both the benefits and obstacles in advancing AGI, which stresses the importance of teams from various fields to work together as technology grows stronger
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