MUFO 2.1 (MoveTips Unified Functional Ontology) is a domain ontology and semantic-rule foundation for representing, reasoning about, and longitudinally updating human function. MUFO defines human function as: Human function is the body's capacity to be appropriately engaged to meet internal and external demands. “Demand” includes ongoing internal requirements for physiological maintenance, regulation, development, defense, adaptation, repair, and recovery, as well as external behavioral, environmental, and real-world task demands. MUFO 2.1 establishes Demand as an upper-level organizing object and distinguishes a Task from the Task Demand generated or imposed by that task under specified conditions. It defines Functional Engagement as the demand-conditioned process through which the body organizes what is required to meet a specified internal or external demand. The ontology distinguishes real domain processes from observations, inferences, and information representations. Its core objects include Demand, Demand Specification, Engagement Requirement, Required Engagement Process Type, Actual Engagement Process, Actual Response, Manifestation, Measurement Result, Immediate Cost, Accumulated Burden, Boundary, Reserve, Human Function State, State Inference, State Representation, governed action, Actual Change, feedback, reassessment, and versioned longitudinal write-back. Its generalized architecture connects: Demand → Engagement Requirement → Required Engagement Process Type → Actual Engagement Process → Actual Response → Manifestation and Measurement Result → Immediate Cost and Accumulated Burden → Boundary and Reserve Estimation → State Inference and Representation → governed external action where applicable → Actual Change → New Evidence → Feedback, Reassessment, and Versioned Write-back Actual Change may also arise through time, exposure, endogenous regulation, recovery, development, or uncontrolled events and does not require an external intervention. MUFO 2.1 retains a task-centered operational specialization for current person-level human function reasoning. Within this specialization, four foundational state classes are used: Normal Functional State Compensatory Functional State Boundary-Critical Functional State Functional Incapacity State These states are task-, context-, evidence-, and time-dependent. They are not permanent labels and are not asserted as universal state categories for organ, cellular, or molecular processes. MUFO provides the governed ontology and semantic-rule foundation for four connected components: MUFO — the domain ontology, relations, constraints, and governance layer; Human Function Engine — the runtime inference, safety, action, and write-back layer; Individual Human Function Model (IHFM) — the versioned person-specific longitudinal state memory; Human Function World Model (HFWM) — the multiscale, temporal, event-conditioned, and action-conditioned modeling layer for representing and evaluating possible state transitions. MUFO is designed to support computable, constrained, traceable, auditable, and continuously updateable whole-person reasoning across medicine, physiology, rehabilitation, movement training, health services, and specialized AI systems, while preserving the original identifiers, evidence boundaries, scientific scope, and professional authority of connected domain models. Current implementation is strongest in real-world task reasoning, assessment, state inference, professional action workflows, execution feedback, reassessment, and longitudinal service records. Internal-demand modeling, multiscale physiological integration, prediction validation, and molecular-to-person state-transition modeling remain ongoing ontology, engineering, and scientific research work. MUFO is not an autonomous medical diagnosis system, treatment system, clinical guideline, or substitute for professional judgment. It does not authorize medical action beyond established evidence, safety, legal, and professional-scope boundaries. This public release presents the MUFO 2.1 framework definition and ontology architecture. The complete governed production ontology, operational rules, relation contracts, implementation assets, and safety-controlled runtime resources are maintained separately.
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