GAAO 1.0 (General Adaptive Agent Ontology), a unified event-sourced ontology for modeling and steering adaptive agents through time, integrating semantic topology, constraint systems, condition models, evidential reasoning, transformation dynamics, and recursive adaptation loops

We present GAAO 1.0 (General Adaptive Agent Ontology), a unified event-sourced ontology for modeling and steering adaptive agents through time, integrating semantic topology, constraint systems, condition models, evidential reasoning, transformation dynamics, and recursive adaptation loops. GAAO formalizes a general-purpose adaptive agent as the tuple A = (E, C, K, X, R, P, Ω, I, L), where the agent is defined by an event-sourced ledger of behaviour, a hierarchical semantic topology, an explicit constraint fabric, a structured condition space, an evidential graph, a transformation layer capturing progress metrics and outcome effects, an adaptive reasoning engine, and a recursive adaptation loop governing temporal evolution of state. Unlike existing paradigms such as BDI, ACT-R, reinforcement learning, MAPE-K, or event-sourced architectures, GAAO unifies semantics, constraints, conditions, evidence, transformation dynamics, and recursive feedback into a single ontology for modeling and steering adaptive behaviour over time.