This article aims to introduce E.V. Ilyenkov’s ‘Dialectics of the Ideal’, first published in unabridged form in 2009, to an English-speaking readership. It does this in three ways: First, it contextualises his intervention in the history of Soviet and post-Soviet philosophy, offering a window into the subterranean tradition of creative theory that existed on the margins and in opposition to official Diamat. It explains what distinguishes Ilyenkov’s philosophy from the crude materialism of Diamat, and examines his relationship to four central (...) figures from the pre-Diamat period: Deborin, Lukács, Vygotsky, and Lenin. Second, it situates his concept of the ideal in relation to the history of Western philosophy, noting Ilyenkov’s original reading of Marx through both Hegel and Spinoza, his criticism of Western theorists who identify the ideal with language, and his effort to articulate an anti-dualist conception of subjectivity. Third, it examines Ilyenkov’s reception in the West, previous efforts to publish his work in the West, including the so-called ‘Italian Affair’, as well as existing scholarship on Ilyenkov in English. (shrink)

By following the arguments developed by Vygotsky and employing the cultural-historical activity theory (CHAT) in addition to dialectical logic, this paper attempts to investigate the interaction between psychology and artificial intelligence (AI) to confront the epistemological and methodological challenges encountered in AI research. The paper proposes that AI is facing an epistemological and methodological crisis inherited from psychology based on dualist ontology. The roots of this crisis lie in the duality between rationalism and objectivism or in the mind-body rupture that (...) has governed the production of scientific thought and the proliferation of approaches. In addition, by highlighting the sociohistorical conditions of AI, this paper investigates the historical characteristics of the shift of the crisis from psychology to AI. Additionally, we examine the epistemological and methodological roots of the main challenges encountered in AI research by noting that empiricism is the dominant tendency in the field. Empiricism gives rise to methodological and practical challenges, including challenges related to the emergence of meaning, abstraction, generalization, the emergence of symbols, concept formation, functional reflection of reality, and the emergence of higher psychological functions. Furthermore, through discussing attempts to formalize dialectical logic, the paper, based on contradiction formation, proposes a qualitative epistemological, methodological, and formal alternative by using a preliminary algorithmic model that grasps the formation of meaning as an essential ability for the qualitative reflection of reality and the emergence of other mental functions. (shrink)

Scientific concepts and conceptual systems (theories) are particular forms of higher mental activity. They are cognitive organs that provide the ability of systematic cognition of phenomena, which are not available to the grasp of ordinary sense organs. They are tools of scientific “groping” of phenomena. Scientific concepts free perceptual and cognitive activity from determination of ordinary sense organs by providing a high degree of cognitive abstraction and generalization. Scientific cognition, like perceptual activity, is actualized by consciousness but outside the consciousness.