Experience - Experience Capitalization (Page 3)

Experience Capitalization

Experience

Experience Architecture

Experience Architecture

Experience Architecture is the production and lifecycle system that reconstructs explicit candidate operational models from accumulated experience, observational evidence, and documentary or formal sources, then carries qualified models through verification, release, reuse, and maintenance. Source and Reconstruction Layer The architecture distinguishes production inputs from the mechanism used to process them.

Work Explanation

Work Explanation

Work Explanation is an explicit representation of the model that explains why a process behaves as it does. More Than Procedure A procedure can list steps without representing the conditions that make those steps valid. A good work explanation identifies the underlying structure: entities, states, relevant facts, rules, conditions, actions,

Experience Reuse

Experience Reuse

Experience Reuse is the process of applying a released reusable model across additional cases, people, systems, or applications without reconstructing its model structure from source material each time. Reuse Is an Operational Process Reusable Experience names the asset. Experience Reuse names what happens after that asset exists: the same model

Reusable Experience

Reusable Experience

Reusable Experience is the asset form produced through Experience Capitalization: a released model reconstructed from accumulated experience and relevant documentary or formal sources, with explicit structure, defined scope, source basis, and verification status that allow it to guide more than one future case. The Reusable Unit A memory of one

AI Agents and Experience

AI Agents and Experience

AI agents make the distinction between general intelligence and explicit operational models especially important. General Capability Is Broad An advanced AI model may encode broad learned statistical patterns about a domain and can also work with supplied documentary sources. It can read instructions, infer likely steps, generate plans, and adapt

Automation and Experience

Automation and Experience

Automation applies an explicit model through an execution mechanism. Experience Capitalization addresses where that model comes from and how it becomes reusable. Automation Embodies a Model A nontrivial workflow, program, rule engine, or automated decision system embodies assumptions about entities, states, inputs, conditions, allowed actions, and results. Even when nobody

Memory and Experience

Memory and Experience

Memory preserves episodes. In the Experience Capitalization lens, repeated episodes can contribute to models that influence future recognition and action. Memory Preserves the Past A person can remember a customer case, a mistake, a difficult negotiation, or a system failure. An organization can preserve similar records in databases, documents, logs,

Data and Experience

Data and Experience

Data often records observations or facts about particular cases. In the Experience Capitalization lens, experience becomes practically useful when repeated observations contribute to models that change future recognition and action. Normative models can also contain requirements established by applicable governing sources rather than inferred from observations. Data Can Provide Evidence

Knowledge and Experience

Knowledge and Experience

Knowledge and experience are often treated as separate substances. A more useful view for Experience Capitalization is that both can contribute to model formation and reconstruction, but they play different epistemic roles. Some external representations encode formal or normative requirements whose authority comes from the governing source rather than from