Intention Emergence Device Using Phase Transition Materials
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Solution Overview
Problem
Existing methods using Von Neumann computers struggle to reproduce complex human brain determination processes like double-loops and decide intentions effectively, as they are limited by binary system calculations and storage capacity, making it difficult to manage reactions and timing in human brain processes.
Innovation Solution
An intention emergence device and method that acquire sound and physiological data to detect feelings, calculate energy involving human emotions and organ activities, and use phase transition of material elements to decide and output intentions, allowing for various intentions to emerge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Von Neumann computer binary system calculation is used, then calculation precision is maintained, but the ability to reproduce complex human brain determination processes deteriorates
Solution Approach 1:
The patent replaces the mechanical binary switching system of Von Neumann computers with a physical system using materials that undergo phase transitions (e.g., solid-liquid transitions) to represent computational states. This substitution allows the system to naturally exhibit complex behaviors like double-loop reactions and intention emergence that mimic human brain processes, while maintaining calculation precision through controlled physical phenomena.
Solution Approach 2:
The patent utilizes phase transitions of materials (such as solid-liquid transitions) as the fundamental computational mechanism. Different phases represent different states in the determination process, and the transitions between phases naturally model the complex, adaptive behaviors of human brain processes including double-loop reactions and intention formation, resolving the contradiction between precision and adaptability.
2Reliability
If binary system calculation is used, then calculation reliability is maintained, but the ability to manage reaction timing and convergence deteriorates
Solution Approach 1:
Phase transitions provide natural timing mechanisms through their inherent kinetics and hysteresis properties. The transition speeds and convergence points of materials undergoing phase changes naturally regulate the timing of reactions and the convergence of double-loop processes, eliminating the need for artificial timing control while maintaining reliability through controlled physical phenomena.
Solution Approach 2:
The system utilizes periodic heating and cooling cycles to drive phase transitions in the materials. This periodic action creates rhythmic computation patterns that naturally manage reaction timing and allow double-loop reactions to converge at appropriate intervals, mimicking the temporal dynamics of human brain processes while maintaining reliable operation.
3Speed
If Von Neumann computer architecture is used, then computational speed is maintained, but the ability to decide intentions according to mood and conditions deteriorates
Solution Approach 1:
The patent changes the fundamental computational parameter from binary digits to physical material phases. By controlling parameters such as temperature, pressure, or other external conditions, the system can dynamically adjust the state of materials to reflect different moods and conditions, enabling intention decisions that are adaptive to contextual factors while maintaining high-speed computation through direct physical state changes.
Solution Approach 2:
The system employs composite material structures that combine multiple components with different phase transition characteristics. This allows the computational system to simultaneously process multiple types of information (sound, physiological data, environmental conditions) and integrate them into coherent intention decisions, achieving both speed and contextual adaptability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the reproduction of complex human brain determination processes and decision-making by effectively managing reactions and timing, allowing for adaptive intentions based on mood, conditions, and scenes, overcoming the limitations of binary system calculations.
Implementation Method 1
a plurality of elements, each of which has a material changing a state in accordance with input of the energy calculated by the calculation unit
Implementation Method 2
a control unit performing phase transition of the state of the material in each of the plurality of elements when an amount of change in the state of the material in at least one element among the plurality of elements is equal to or less than a predetermined amount
Data Source
AI summary
An acquisition unit acquiring data including sound information uttered by a subject; a detection unit detecting feelings of the subject using the acquired data; a decision unit deciding weighting coefficients for data in accordance with the feelings of the subject; a calculation unit calculating energy which involves in human emotions and organ activities; a plurality of elements outputting signals each of which indicates the change in a state of the element as homeostasis in each of the human emotions and the organ activities; an emergence unit deciding feelings and intentions in accordance with the signals output from the elements; and a control unit performing phase transition of the state of the elements when an amount of change in the state of at least one element is equal to or less than a predetermined amount or when the state of at least one element is in a predetermined state.