This article introduces a novel adaptive electronic unit based on liquid crystal polymer (LCON) that integrates sensing, signal processing, and actuation into a single material. The LCON film undergoes anisotropic deformation when exposed to a minor heat pulse from human touch, enabling the unit to respond dynamically to environmental changes. The unit is integrated into an electric circuit to facilitate switching, and the system demonstrates distributed information processing with feedback loops and cascading signal transmission across multiple adaptive units. This system responds progressively in a multilayered cascade to dynamic environmental changes, offering potential for next-generation flexible electronics, soft robotics, and swarm intelligence. The research is inspired by the Mimosa pudica plant, which exhibits dynamic responses to environmental cues like touch, temperature, and light. This plant's ability to fold its leaves in response to stimuli requires sensing, signal processing, and actuation, which are the foundation for creating closed-loop feedback in adaptive systems. Traditional synthetic electronics have focused on centralized control systems with separate sensing and actuation modules, but these systems face challenges in integration and efficiency. The LCON-based adaptive unit is designed with a liquid crystal oligomer network that undergoes order-to-disorder transitions in response to external stimuli. The unit contains four fundamental components: the LCON core, sensing and actuating electrodes, and an auxiliary electrode for mechanical stability. The LCON serves as both a sensor and actuator, converting environmental stimuli into electrical signals. The sensing electrode detects changes in the LCON, while the actuating electrode converts electrical signals into thermal signals for actuation. The study demonstrates two types of adaptable logic switches: the self-propelled gate (SPG) and the self-terminated gate (STG). The SPG initiates signal transmission and establishes a positive feedback loop, while the STG stops signal transmission and enforces a negative feedback loop. These switches enable cascading signal transmission across multiple adaptive units, creating an interactive system that mimics the behavior of the Mimosa pudica plant. The system is tested with an artificial Mimosa that exhibits sequential folding in response to human touch. The system demonstrates a positive feedback loop, where sensing heat from the environment causes deformation of the LCON, closing the electric circuit and allowing current flow, which induces Joule heating and further deformation. This process establishes a self-sustaining feedback loop, enabling the system to adapt to dynamic environments. The study highlights the potential of LCON-based adaptive electronics for creating responsive materials that can independently process and respond to environmental stimuli. The system's ability to integrate sensing, signal processing, and actuation into a single material offers new possibilities for flexible electronics, soft robotics, and swarm intelligence. The research provides a foundation for developing self-learning intelligent systems and adaptive materials that can respond to dynamic environments.This article introduces a novel adaptive electronic unit based on liquid crystal polymer (LCON) that integrates sensing, signal processing, and actuation into a single material. The LCON film undergoes anisotropic deformation when exposed to a minor heat pulse from human touch, enabling the unit to respond dynamically to environmental changes. The unit is integrated into an electric circuit to facilitate switching, and the system demonstrates distributed information processing with feedback loops and cascading signal transmission across multiple adaptive units. This system responds progressively in a multilayered cascade to dynamic environmental changes, offering potential for next-generation flexible electronics, soft robotics, and swarm intelligence. The research is inspired by the Mimosa pudica plant, which exhibits dynamic responses to environmental cues like touch, temperature, and light. This plant's ability to fold its leaves in response to stimuli requires sensing, signal processing, and actuation, which are the foundation for creating closed-loop feedback in adaptive systems. Traditional synthetic electronics have focused on centralized control systems with separate sensing and actuation modules, but these systems face challenges in integration and efficiency. The LCON-based adaptive unit is designed with a liquid crystal oligomer network that undergoes order-to-disorder transitions in response to external stimuli. The unit contains four fundamental components: the LCON core, sensing and actuating electrodes, and an auxiliary electrode for mechanical stability. The LCON serves as both a sensor and actuator, converting environmental stimuli into electrical signals. The sensing electrode detects changes in the LCON, while the actuating electrode converts electrical signals into thermal signals for actuation. The study demonstrates two types of adaptable logic switches: the self-propelled gate (SPG) and the self-terminated gate (STG). The SPG initiates signal transmission and establishes a positive feedback loop, while the STG stops signal transmission and enforces a negative feedback loop. These switches enable cascading signal transmission across multiple adaptive units, creating an interactive system that mimics the behavior of the Mimosa pudica plant. The system is tested with an artificial Mimosa that exhibits sequential folding in response to human touch. The system demonstrates a positive feedback loop, where sensing heat from the environment causes deformation of the LCON, closing the electric circuit and allowing current flow, which induces Joule heating and further deformation. This process establishes a self-sustaining feedback loop, enabling the system to adapt to dynamic environments. The study highlights the potential of LCON-based adaptive electronics for creating responsive materials that can independently process and respond to environmental stimuli. The system's ability to integrate sensing, signal processing, and actuation into a single material offers new possibilities for flexible electronics, soft robotics, and swarm intelligence. The research provides a foundation for developing self-learning intelligent systems and adaptive materials that can respond to dynamic environments.