System and Method for Curvature-Regulated Persistent Cognitive Machines

A computer-implemented method comprising:

• initializing a persistent cognitive system configured to sustain a cognitive state across inactive periods and restarts, the cognitive state comprising stored thought representations organized in one or more thought caches as vector embeddings within a latent-space data structure;
• monitoring a plurality of events comprising external stimuli to the persistent cognitive system and thought triggers internal to the persistent cognitive system;
• retrieving relevant thoughts from the thought cache based on similarity metrics computed within the latent-space data structure;
• generating cognitive outputs using one or more generative or analytical models informed by the retrieved relevant thoughts;
• generating new thoughts derived from analyzing the plurality of events, the new thoughts being stored as vector representations in the thought cache;
• computing a curvature metric for one or more regions of the latent-space data structure, the curvature metric comprising a deviation or distortion measure computed from two or more distance or similarity metrics associated with thought representations;
• storing, in one or more reservoir data structures, compressed representations derived at least in part from the curvature metric;
• entering one or more processor-executed cognitive maintenance modes during which the system performs operations comprising transferring curvature-derived data between the thought cache and the one or more reservoir data structures;
• and
• maintaining continuity of cognition across inactive intervals and system restarts by persisting at least the thought cache, the one or more reservoir data structures, and associated state data sufficient to restore the cognitive state.

A non-transitory computer-readable storage medium storing instructions that, when executed by one or more processors, cause the one or more processors to:

• initialize a persistent cognitive system configured to sustain a cognitive state across inactive periods and restarts, the cognitive state comprising stored thought representations organized in one or more thought caches as vector embeddings within a latent-space data structure;
• monitor a plurality of events comprising external stimuli to the persistent cognitive system and thought triggers internal to the persistent cognitive system;
• retrieve relevant thoughts from the thought cache based on similarity metrics computed within the latent-space data structure;
• generate cognitive outputs using one or more generative or analytical models informed by the retrieved relevant thoughts;
• generate new thoughts derived from analyzing the plurality of events, the new thoughts being stored as vector representations in the thought cache;
• compute a curvature metric for one or more regions of the latent-space data structure, the curvature metric comprising a deviation or distortion measure computed from two or more distance or similarity metrics associated with thought representations;
• store, in one or more reservoir data structures, compressed representations derived at least in part from the curvature metric;
• enter one or more processor-executed cognitive maintenance modes during which the system performs operations comprising transferring curvature-derived data between the thought cache and the one or more reservoir data structures;
• and
• maintain continuity of cognition across inactive intervals and system restarts by persisting at least the thought cache, the one or more reservoir data structures, and associated state data sufficient to restore the cognitive state.