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The Implications of Husserl’s Concept of Passive Synthesis for the Paradigm of Intelligent Driving

Yu Yao

Abstract


Intelligent driving exemplifies human–machine collaboration yet exposes AI’s limits: deep learning and symbolic logic process discrete data without experiential continuity. Machines recognize but cannot understand or feel—a gap reflected in the “symbol grounding problem” (Harnad, 1990) and Searle’s Chinese Room (1980). Husserl’s concept of passive synthesis explains how consciousness achieves temporal unity pre-reflectively, offering AI a model for perception grounded in continuity, context, and non-representational cognition. This phenomenological insight resonates with efforts to build machines that “learn and think like people” (Lake et al., 2017), marking a shift from representation to generation and toward experiential intelligence.

Keywords


Husserl; Passive synthesis; Phenomenology; Intelligent driving; Artificial intelligence

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References


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DOI: http://dx.doi.org/10.18686/ahe.v9i5.14261

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