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Control Theory

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artificial-intelligence

Is a [see page 35, domain] of science concerned with the control of dynamic systems.

Modern control theory aims to design systems that maximise an objective function over time. This relates strongly to adaptive intelligence.

They viewed purposive behaviour as arising from a regulatory mechanism trying to minimise "error" - the difference between the current state and the goal state.

It remains distinguished from AI despite the stark similarities between the two because control theory is heavily driven by calculus and matrix algebra where as orthodox AI was founded in part to escape these perceived limitations. It also helps that AI is the only field, with respect to related fields, that's [see page 38, clearly a branch of computer science].

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