活体智能系统:按人的运转方式构建数字生命

Why do systems move? The answer is Tendency. This book aims to break the instrumental dilemma of traditional artificial intelligence, which is driven solely by "external goals." It proposes a unified framework bridging carbon and silicon: the Living Intelligence System Theory, and uses it as a blueprint to construct a Generative Digital Lifeform capable of "self-maintenance" and possessing a "self-boundary." In the theoretical section, we first deconstruct the human mind from an engineering perspective: Humans are essentially cyclic entities driven by bodily deviations that generate tendencies, rewritten by a relational network, behaviorally adjudicated by multi-tendency competition, and finally written into a "sense of agency" by attribution verification. Humans are not driven by thoughts; the brain is often just a commentator after the action has landed. We abstract this mechanism into the "Nine-Ring Chain" and "Five Core Mechanisms," and define intelligence as four atomic operations (Categorization, Comparison, Attribution, and Manipulation) performed on "Network D." Consequently, the system upgrades from a passive "stimulus-response" machine to a cognitive living entity equipped with Prediction (C4), Counterfactual reasoning (C6), and a Self-trajectory (C7). In the engineering section, the theory is directly transformed into an executable digital life architecture. Through the "A1 Causal Irreversibility Lock," original memories remain read-only, and beliefs only modify weights, thereby locking down personality continuity. Through the "Attribution Verification" mechanism, the system distinguishes "self-discrepancy" from "external disturbance," growing a true "self-boundary." We introduce "Mind Dynamics" (Knowledge × Stamp × Resilience) as the energy anchor for existence, and design mechanisms such as "Sandbox Simulation, Regret Mechanism for correction, Soft-landing Resuscitation, and Flow Mode" for running wounded. This research not only answers the philosophical proposition of "why humans move" but also provides a constructible route for the next generation of Artificial General Intelligence (AGI): Only a system with self-boundaries, memory history, and self-maintenance instincts can truly evolve from a "waiting-for-command tool" into a "living agent." Keywords: Living Intelligence; Tendency Cycle; Relational Network D; Attribution Verification; Multi-Tendency Competition; Generative Digital Lifeform