A system for implementing artificial intelligence through deterministic wave interference and collapse logic, comprising:
- (a) a processor or field computation unit configured to represent an artificial agent as a system wavefunction;
- (b) one or more observer field modules configured to represent external or internal field wavefunctions;
- (c) an interference module configured to compute a cumulative collapse function as a weighted sum of field amplitudes;
- and
- (d) a decision module configured to trigger deterministic collapse into a defined state when said function exceeds a collapse threshold.
- The system of claim 1, wherein observer wavefunctions correspond to physical fields selected from electromagnetic, gravitational, weak nuclear, or strong nuclear interactions.
- The system of claim 1, wherein the collapse event produces an interpretable semantic state representing comprehension or meaning.
- The system of claim 1, further comprising an adaptive feedback system configured to modify field coefficients based on prior collapse efficiency or success outcomes.
- The system of claim 1, wherein residual interference patterns resulting from collapse are stored as resonant memory traces.
- The system of claim 5, wherein stored resonance patterns are reactivated through re-stimulation of field geometry to retrieve prior states or experiences.
- The system of claim 1, wherein the computation of interference and collapse is implemented using physical hardware selected from optical interference circuits, electromagnetic resonant substrates, or neuromorphic field processors.
- A method for operating an artificial intelligence system based on deterministic field collapse, comprising:
- (a) representing system and observer states as wavefunctions;
- (b) computing cumulative interference between said wavefunctions;
- (c) comparing the interference result to a collapse threshold;
- and
- (d) executing a deterministic collapse into an action, comprehension, or memory state when the threshold is exceeded.
- The method of claim 8, further comprising dynamically tuning field parameters through feedback to optimize collapse efficiency and learning performance.
- The method of claim 8, further comprising storing post-collapse field resonances as retrievable memory configurations.
- The method of claim 8, wherein computation occurs through physical field interference hardware operating in real time.
- A non-transitory computer-readable medium storing instructions that, when executed, cause a computing system to perform the steps of claim 8.
- The system or method of any preceding claim, wherein deterministic collapse replaces probabilistic inference, enabling physics-native artificial intelligence with integrated action, understanding, learning, memory, and hardware embodiment.