Logical and aggregation modeling

The logical model is developed in Lynn according to flows that are structured according to the Intention-Entity model, which is compatible with the main exponents of cognitive services, so that the designs in Lynn are able to trigger actions from intentions and entities retrieved from the messages that are handled. It is not mandatory to have a cognitive service to structure a stream in Lynn, streams that lack cognitive services will simply behave linearly.

Channel: Means of data entry or interactions to Lynn, with the ability to manage sessions.

Intention: element with cognitive capacities of the intention-entity model that represents a use case or branch of work in Lynn. In a classic model would represent simile to the verb of a sentence.

Entity: element with cognitive capacities of the intention-entity model that represents a variable or definition about an intent. in a model classical would represent simile to part of the predicate of a sentence.

Case: Auxiliary logic element that assumes the function of connector between intentions and actions giving the possibility of defining execution order, execution logics and other resources that depend on the relationship intention-entity. It is also identified as subroutine points.

All the elements that make up the encapsulation and the aggregation logic of the intent and entity model ( Channels, intents, entities, actions ) are considered logical elements in Lynn.