Determining whether another system, biological or artificial, possesses phenomenal consciousness has long been a central challenge in consciousness studies. This attribution problem has become especially pressing with the rise of large language models and other advanced AI systems, where debates about "AI consciousness" implicitly rely on some criterion for deciding whether a given system is...
How the mind works is the ultimate mystery for human beings. To answer this question, one of the most significant insights is Kant’s argument that we can only perceive phenomena but not the essence of the external world. Following this idea, we formulated a novel computational framework to model the mind based on two assumptions: 1) The mind doesn’t assume the existence of the external...
How the mind works is the ultimate mystery for human beings. This paper proposed a framework to solve it. We call it the self-programming system. The self-programming system can learn, store and apply the functions of bodies, external tools, and even the mind itself uniformly. However, due to the generality of the mind, traditional scientific methods are not suitable for validating a theory of...
Current attempts to test whether AI systems are conscious fall into two families: (i) theory-driven criteria imported from cognitive or neuroscientific models (e.g., global broadcasting, higher-order representation, integrated information), and (ii) behavioral or verbal-report tests in the spirit of the Turing paradigm. The former are theory-dependent namely, their verdicts presuppose the...