Exact(12)
This approach allows the model developer to focus on implementing model logic rather than developing an entire stand-alone modelling application.
The transformations required to model logic gates by Petri nets are explored and examples provided.
Regarding the user/decision maker interface, the user needs to be able to explain the model logic and its effects on results to recipients of the results.
Energy system modelling software has been heavily discussed, and in recent years, model-based results have been criticised for the black box character of internal model logic and underlying assumptions [1, 2].
The Dual Model Logic (DML) family, which was recently introduced by our group for sub-threshold operation, provides an alternative design methodology to the existing low power digital design techniques.
A typical element in this approach is that in action model logic one has both epistemic and action models and that the update of an epistemic model by an epistemic action (an action that affects the epistemic state of a group of agents) is represented by a (restricted) modal product of that epistemic model and an action model associated with that action.
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This study is concerned with the genetic development of logic-based fuzzy models (logic networks).
It builds on simple but powerful concepts: learning from interpretations, entity/relationship data modeling, logic programming, and deductive databases.
To situate implementation and the factors influencing implementation in relation to hypothesised change processes there has been an increasing reliance on the use of conceptual models, logic models or theory-driven approaches in evaluation [ 13] and systematic reviews [ 14].
The study was extended by testing different noise models, module logic, intrinsic/extrinsic noise proportions and network configurations.
Logic-based models include Boolean logic models, multi-state discrete models, and fuzzy logic models [38], [39].
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