We propose the design of self-adaptive software components based on logical discrete control approaches, in which the self-adaptive behavioural models enrich component controllers with a knowledge not only on events, configurations and past history, but also with possible future configurations.
If the goal, for example, is to create a dialogue-based problem-solving system for circuit fault diagnosis, emergency response, medical contingencies, or vacation planning, then an approach based on logical (or at least symbolic) representations of the dialogue, underlying intentions, and relevant constraints and knowledge is at present the only viable option.
Their approach is based on logical nodes (templates), which enable instantiating and grouping the nodes, based on their exported attributes.
The revised criteria are based on logical rhetorical arguments using a constituent reductionist postpositivist approach supported by the available empirical data.
The rules are not arbitrary but are based on logical and intelligent behaviour.
A novel capture method for abnormal pressure based on logical reasoning algorithm is proposed.
Unfortunately, some research was not based on logical analysis due to a lack of data.
The threshold increasing condition is checked with a simple estimator based on logical circuits.
These arguments, however, are based on logical fallacies and a misunderstanding of both economics and history.
These tended to be well considered and based on logical arguments.
