This paper analyzes the hard problem of consciousness in relation to intelligence and evolution by natural selection, suggesting a dual-aspect theory approach.
To model informatic intelligence, agency, consciousness and the like, one must address a claimed Hard Problem: that a grasp of 'the mind' lies wholly beyond scientific views. While this claim is suspect, persistent analogues can be identified in the literature, such as a "symbol grounding problem", "solving intelligence", a missing "theory of meaning", and more. The topic of subjective phenomena thus still holds sway in many corners as being unresolved. But firm analysis of Hard Problem claims is rare; researchers instead respond intuitively, claiming that (1) it is an absurd view unworthy of study, or (2) it is an intractable issue defying study, where neither side offers much clarifying detail. In contrast, this paper firmly assesses the Hard Problem's claim contra one scientific role: evolution by means of natural selection (EvNS). It examines the specific logic behind this claim, as seen in the literature over the years. The paper ultimately shows that the Hard Problem's logic is deeply flawed, with the further implication that EvNS remains available for exploring consciousness. The paper also suggests that an 'information theory' dual-aspect approach is best suited to resolving Hard-Problem-like claims.
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Marcus Abundis (2025) studied this question.
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