Abstract AI research increasingly attributes perception, understanding, agency, and consciousness to artificial systems. Husserlian phenomenology offers distinctions through which to examine these claims. This scoping review maps explicit Husserlian uptake in AI and robotics and asks how conceptual engagement relates to methodological and design contributions. Eight primary queries and one...
Abstract Background Anger dysregulation during adolescence can negatively affect emotional well-being, interpersonal relationships, and academic functioning. Although meditation and yoga-based practices have been studied for emotional regulation, predictive machine-learning approaches remain comparatively limited. This study evaluates the feasibility of predicting self-reported improvement in...
This paper introduces the concept of informational self-meaning (ISM) as a philosophical account for addressing AI ontology and epistemology. Unlike theories such as Higher-Order Thought (HOT), Integrated Information Theory (IIT), and Global Workspace Theory (GWT), which encounter regress, reductionism, or anthropocentric limits, ISM characterises consciousness structurally as the capacity for...
Abstract This paper examines the interaction between humans and large language models (LLMs) through the lens of 4E cognition, which encompasses embodied, embedded, enactive, and extended cognitive processes, to provide a comprehensive understanding of their relational dynamics. It argues that LLMs should not be conceived of in terms of objects but be understood as a processual and relational...