Can Computers Think? A Philosophical Inquiry

This paper presents a philosophical and systematic examination of the question, “Can computers think?” It begins by looking at the different meanings of the concept of thinking, positing that the answer to the question depends on how such a concept is conceived. On the one hand, this paper argues that if thinking is understood as problem solving, information processing, and intelligent behavior, then computers may be said to think. On the other hand, if thinking requires consciousness, intentionality, subjective experience, and embodied understanding, then computers cannot truly think, since they are lacking in this regard. In responding to the question, the paper introduced two broad but contrasting perspectives (A and B). Perspective A supports the view that machines can think; it draws its justification from the Turing Test, functionalism, computational theory, and the Extended Mind Thesis. Perspective B rejects this claim, using arguments from the Chinese Room, intentionality, consciousness, and phenomenology. The study concludes with the claim that, despite the fact that machines can simulate and transcend many aspects of human intelligence, whether this feat amounts to genuine thinking remains a deeply philosophical and unresolved question.