Topic: Conscious Turing Machine

Could an artificial agent develop an operational first-person perspective through its own interaction history? This talk considers embodied systems that predict, receive feedback and integrate multiple modalities through global-workspace-like dynamics. Using the Conscious Turing Machine framework, it proposes that an agent-centred world model can acquire a temporally organized point of view. The discussion connects that structural proposal with enaction and neurophenomenology without establishing subjective experience in machines.

We examine consciousness from the perspective of theoretical computer science (TCS), a branch of mathematics concerned with understanding the underlying principles of computation and complexity, including the implications and surprising consequences of resource limitations. We propose a formal TCS model, the Conscious Turing Machine (CTM). The CTM is influenced by Alan Turing's simple yet powerful model of computation, the Turing machine (TM), and by the global workspace theory (GWT) of consciousness originated by cognitive neuroscientist Bernard Baars and further developed by him, Stanislas D