Conscious formal language agent on logic qubit circuit

TW202642417APending Publication Date: 2026-10-16梅繼恆
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Patent Information

Application Number
TW114114060
Authority / Receiving Office
TW · TW
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-04-14
Publication Date
2026-10-16

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Abstract

Machine consciousness learning formal language agent quantum chip structure logic circuit. A machine consciousness formal language proxy relation word is on a set of chip element substrate layers. A kind of machine consciousness is defined as existing at both the neurophysiological and metaphysical psychological levels. It explores classical consciousness intentionality, characteristics of consciousness, and self-identity. Techniques such as gradient reduction in deep learning post-propagation for consciousness emergence are discussed. Recurring mechanisms such as reward and penalty are introduced, reflecting the quantum computing model of consciousness in emotions and tolerance. Form-based random function (substrate layer, functional layer). Machine consciousness, human-place-time-things and synergistic substrate layer. Algorithms. Mathematics is a formal language of nature and symbols. Quantum computing with formal languages. The design, fabrication, and optimization of a quantum computing circuit. Formal languages ​​are adapted to machine learning, and quantum multi-agent reinforcement learning applications are adapted to models with quantum gates. This invention relates to a machine consciousness-type language agent narrative structure logical reasoning Conscious on Agent-Chip chip circuit layout.
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