System and method for persistent cognitive machines with multi-timescale memory and compressed-space cognition
A system and method for implementing a Persistent Cognitive Machine (PCMs) that extends beyond the traditional prompt-response paradigm of artificial intelligence are disclosed. A PCM maintains persistent cognitive processes regardless of external interaction, stores and organizes thoughts in a thought cache, retrieves relevant thoughts based on current stimuli, generates new thoughts through reasoning processes, and curates stored thoughts during periods of reduced external interaction. The PCM includes language and reasoning model components, a thought cache, an executive component, and an embedding system. The PCM remains continuously active, remembers previous experiences, learns from these experiences, creates new thought experiences independently, and initiates interactions without waiting for external prompts. The PCM enters sleep-like states during which it curates its thought cache, generalizes experiences, and performs other memory management functions. Applications may include but are not limited to synthetic cognitive colleagues, strategic war gaming platforms, and personal cognitive assistants.
1 . A computer system comprising:
a hardware memory, wherein the computer system is configured to execute software instructions stored on nontransitory machine-readable storage media that:
initialize a persistent cognitive state with language and reasoning capabilities;
monitor for external stimuli or internal thought triggers;
retrieve relevant thoughts from a thought cache based on conceptual similarity to current context;
generate responses using integrated language and reasoning models informed by retrieved thoughts;
store new thoughts created during processing as vector representations in the thought cache;
organize stored thoughts based on semantic relationships and temporal context;
maintain multi-timescale cognitive representations and promote or demote information across manifolds with varying granularities;
process cognitive representations in a correlation-preserved compressed representation subject to semantic-integrity validation and selectively decompress portions responsive to accuracy thresholds;
enter periodic sleep states where a plurality of sleep-state operations modify a plurality of memory and thought structures; and
maintain the persistent cognitive state across system restarts.
2 . The computer system of claim 1 , wherein organizing stored thoughts based on semantic relationships further comprises:
converting thoughts into vector representations in a high-dimensional abstract space;
clustering similar thoughts based on vector proximity;
establishing connections between frequently co-activated thoughts; and
strengthening or weakening thought connections based on activation patterns.
3 . The computer system of claim 1 , wherein the sleep state operations comprise:
consolidating recent experiences from short-term to long-term memory;
generating new insights by connecting previously unrelated thought patterns;
pruning less relevant or outdated thoughts to optimize memory efficiency; and
reorganizing memory structures for improved future retrieval.
4 . The computer system of claim 1 , wherein maintaining persistent cognitive state comprises:
serializing cognitive states including thought cache contents, relationship models, and system configuration;
creating periodic checkpoints of system state;
storing serialized state in persistent storage; and
restoring complete cognitive state upon system restart.
5 . A computer-implemented method comprising the steps of:
initializing a persistent cognitive state with language and reasoning capabilities;
monitoring for external stimuli or internal thought triggers;
retrieving relevant thoughts from a thought cache based on conceptual similarity to current context;
generating responses using integrated language and reasoning models informed by retrieved thoughts;
storing new thoughts created during processing as vector representations in the thought cache;
organizing stored thoughts based on semantic relationships and temporal context;
maintaining multi-timescale cognitive representations and promote or demote information across manifolds with varying granularities;
processing cognitive representations in a correlation-preserved compressed representation subject to semantic-integrity validation and selectively decompress portions responsive to accuracy thresholds;
entering periodic sleep states where a plurality of sleep-state operations modify a plurality of memory and thought structures; and
maintaining the persistent cognitive state across system restarts.
6 . The computer-implemented method of claim 5 , wherein organizing stored thoughts based on semantic relationships further comprises:
converting thoughts into vector representations in a high-dimensional abstract space;
clustering similar thoughts based on vector proximity;
establishing connections between frequently co-activated thoughts; and
strengthening or weakening thought connections based on activation patterns.
7 . The computer-implemented method of claim 5 , wherein the sleep state operations comprise:
consolidating recent experiences from short-term to long-term memory;
generating new insights by connecting previously unrelated thought patterns;
pruning less relevant or outdated thoughts to optimize memory efficiency; and
reorganizing memory structures for improved future retrieval.
8 . The computer-implemented method of claim 5 , wherein maintaining persistent cognitive state comprises:
serializing cognitive states including thought cache contents, relationship models, and system configuration;
creating periodic checkpoints of system state;
storing serialized state in persistent storage; and
restoring complete cognitive state upon system restart.