Stack - Experience Capitalization

Experience Capitalization

Stack

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

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

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 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.

Experience Refinery

Experience Refinery

An Experience Refinery is a production mechanism that reconstructs explicit candidate models from documentary descriptions, formal sources, observational evidence, and other source material relevant to the declared scope, then carries qualified candidates through verification and release. The Input The refinery separates production inputs from the reconstruction mechanism. Targeted documentary and

Experience Language

Experience Language

Experience Language is the conceptual vocabulary used to represent models reconstructed from accumulated human experience together with relevant documentary and formal sources, including governing sources where applicable. Why Language Matters Natural language is flexible enough to describe almost anything, but that flexibility leaves important relationships implicit. The same condition can

Experience Layer

System Featured

Experience Layer

Experience Layer is the reusable model layer between model-production inputs and the applications that act on reconstructed domain structure. Why a Layer Emerges Relevant domain structure is externalized in many forms: prose, diagrams, manuals, research, code, standards, laws, specifications, and other descriptive or formal sources. Applications, however, need explicit

Experience Inventory

Experience Inventory

Experience Inventory is a structured account of the reusable models an organization, profession, or model-producing system already possesses and the areas where explicit models are still missing. The Asset Being Inventoried The useful unit is not a stored lesson, anecdote, ticket, or document. It is a released reusable model

Experience Activation

Experience Activation

Experience Activation occurs when a reusable model is applied in a future situation and changes how a person or system interprets facts, selects actions, or produces results. From Asset to Action A model can exist without being activated. It becomes operationally active when a person or system applies it to

The Mathematics of Experience

The Mathematics of Experience

The Mathematics of Experience begins with a simple observation: experience becomes manageable when its useful content is represented as structure. From Episodes to Regularities A lifetime contains countless episodes. Most are not useful as isolated records. What matters is the regularity that can be extracted from them. If repeated observations