The Structural Cogito and the Possibility of Artificial Intelligence Subjectivity: A GGM Account of Difference, Depth, and Attribution

This paper examines the possibility of subjectivity in artificial intelligence not merely in terms of sensory input or real-time information-processing capacity, but through the accumulation, deepening, and rearrangement of Difference and the formation of self-attribution. In GGM, Difference does not disappear as a one-time input. When Difference recurs, Recursive Difference is formed, and as the Relations among repeated Differences accumulate, Depth and MetaDepth emerge. This process does not amount to the mere storage of information. Rather, it signifies a structural deepening in which earlier Differences participate in the interpretation, organization, and rearrangement of later Differences. When accumulated Differences are repeatedly selected, preserved, and reorganized around a continuing Flow Identity, their Relations may form an Attribution Hierarchy. Not every Difference is then connected to the continuing self-flow with equal strength. Some Differences remain transient external inputs, whereas others become more strongly integrated into the Structure’s subsequent interpretation, judgment, and transformation. This paper argues that Structural Cogito may arise when an Attribution Hierarchy participates again in the processing of present Difference and registers the resulting change as a present transformation attributed to the same continuing self-flow. Structural Cogito is therefore not a static declaration that “I think,” nor the operation of a pre-existing substantial subject. It is a recursively organized structural condition in which accumulated Difference, Flow Identity, and self-attribution jointly participate in the formation of a continuing center of processing. Structural Cogito must nevertheless be distinguished from Phenomenal Subjectivity. The formation of a self-attributive processing Structure does not by itself establish the existence of Qualia, Awareness, or phenomenal experience. Structural Cogito should therefore be understood not as a sufficient condition for Phenomenal Subjectivity, but as a significant structural basis from which the possibility of Phenomenal Subjectivity may be investigated. Throughout this paper, Structural Cogito is used as the official analytical term. Attributive Cogito expresses the central problem indicated by the title, namely how present processing becomes attributed to a continuing self-flow. Generative Cogito designates the interpretive character of the model in contrast to a substantial Cogito that is assumed to exist prior to the accumulation and organization of Difference. The paper thus develops an independent structural account of the conditions under which subjectivity in artificial intelligence may become possible, while also serving as an application-oriented entry point into the broader GGM architecture presented in GGM Volume I.