Adaptive complexity towards autonomy: Applying philosophy and philosophical reasoning as means to understanding and expanding its relevance towards Artificial Intelligence within the larger domain of Computer Science and STEM/Engineering.
Demonstration of the philosophical evolution of computation towards higher levels of abstraction in the conversion of language as a means of adapting and integrating the computational capacity in its applied relevance and the philosophical consequence of achieving higher levels of complexity within the context of Autonomy.
Prompt
Demonstrate how the philosophy discipline is deeply rooted in academic science, use logical frameworks taught in philosophy and connect it to an equivalent logic based domain in STEM. Then demonstrate how philosophy with its abstract and theoretical based discipline that applies these things to emerging technologies like NLP and ML/AI model reasoning where the bigger challenge rests in understanding how to convert something inherently so abstract (natural language) and translate it to something that can be understood computationally and then solved by that AI using the same abstract reasoning and theoretical understanding to applied problem solving that enables one to see how philosophy is a foundational core of science linked together within the umbrella of logic.
