감각의 재설계

Re-embodiments and Mind-Extensions

Currently, humanity is experiencing an explosive growth in technological objects designed to improve the body and mind. The main objective of this article is to review two recent classificatory and explanatory systems to cognitive enhancement cybernetic technologies, including both wearable and implantable artifacts that reorganize human embodiment or extend the mind. I argue that an outdated model of the cognitive sciences serves as the basis for these revised systems and taxonomies. Taking an embodied approach to the cognitive sciences, I propose an alternative focus to classify cognitive enhancement cybernetic technologies. Specifically, by adopting a non-orthodox enactive approach to embodied cognition, I propose a new classificatory system that redefines the notion of the cybernetically enhanced human, restricting it to a purely cognitive context. Finally, I evaluate some philosophical implications of my system.

SOMA: In Search of Somatic Intelligence

SOMA is a multisensory robotic sculpture that engages bodily memory as a mode of human–AI communication. Visitors re-enact a remembered movement through a wearable sensing device, while the machine listens, interprets, and responds through its own mechanical choreography, forming an intimate, non-verbal dialogue between human and robotic body. At a time when human–AI interaction is dominated by text-based conversational agents, the work reclaims the body as a site of communication with artificial being, positioning somatic memory as both metaphor and method.

THE MADWYN PRINCIPLE

SYNAPTICON: Creative Alignment at the Frontier of Human-Computer Interaction: a Cognitive-AI Apparatus

This work proposes creative alignment as a framework for analyzing expressive neuro-AI systems across signal, semantic, narrative, and social layers and contributes a research-through-practice account of how brain–AI interfaces can become responsible artistic apparatuses for novel human expression.

The Conversion Theory

Qualia – the vivid hues of subjective experience – emerge from an irreversible neural alchemy. Objective sensory data streams into the brain, where amygdala and hippocampus forge it into private phenomenology through profound process dualism. Brain-computer interfaces capture upstream signals with stunning precision yet hit an »epistemic firewall«: the downstream qualia remain sealed, their essence lost in conversion. Karl Johannes Lierfeld analyzes this physicalist extension that reveals why sentience defies objectification, bridging philosophy of mind and neuroscience without metaphysical escape hatches. Conversionism charts the hard problem’s structural limits.

Construction of Machine Self-Awareness in Embodied Intelligence

Machine self-awareness remains a central but un-resolved challenge in embodied intelligence. Existing artificial intelligence systems are largely built on an outside-in paradigm, in which external sensory data are processed into task-oriented outputs. Although such systems can support perception, prediction, and control, they lack an internally grounded mechanism for distinguishing self-generated change from environmental disturbance. This paper proposes an inside-out developmental framework for constructing machine self-awareness. Drawing on embodied cognition, the C0–C2 hierarchy of consciousness, the efference copy mechanism, and the Free Energy Principle, the framework argues that self-awareness should emerge through repeated cycles of motor intention, predictive modeling, sensory feedback, and prediction-error correction. At the core of this process is the formation of a stable self/environment boundary, defined not by anatomical limits but by the coherence of predictive control. The paper develops an eight-stage model that begins with un-conscious information processing, progresses through efference-copy-based sensorimotor calibration and boundary formation, and extends toward global integration, spatial cognition, active perception, and metacognitive self-monitoring. To illustrate this developmental logic, the paper introduces The Chrysalis of Self, a 2D interactive prototype that simulates mirror-test recognition and spatial memory exploration. The prototype is presented as a pedagogical demonstration rather than an empirical validation. The paper further discusses architectural implications, including the limitations of digital twins, the possibility of tool-based extended selfhood, and the need for multi-criteria evaluation combining structural, boundary, and metacognitive evidence. Overall, this work argues that machine self-awareness cannot be externally assigned; it must be progressively constructed through embodied action, prediction, and feedback.