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Model-Based Reasoning
Published in Jay Liebowitz, The Handbook of Applied Expert Systems, 2019
The term model is generally overused, and AI and the expert system field are no exceptions. In this chapter we link it to an “engineering” notion of a system as an entity that we wish to consider as a unity, whose structure can be decomposed into subsystems and components, and which exhibits certain behavior, i.e., given some input stimuli, it will respond with certain outputs. Based on this notion of a system, a model is a description of a system, using an appropriate modeling language, that makes explicit the structure and behavior of the system for purposes of analysis, prediction, diagnosis, etc.
NoC and System-Level Design
Published in Hoi-Jun Yoo, Kangmin Lee, Jun Kyoung Kim, Low-Power NoC for High-Performance SoC Design, 2018
Hoi-Jun Yoo, Kangmin Lee, Jun Kyoung Kim
The method for the selection and connection of the subsystems to implement the functions is called the model [3]. Further, it can be divided into three submodels, the system model, the function model, and the architecture model, as shown in Figure 1.6. Only the system’s behaviors are visible to the end user, and its essential characteristics and architectures will be designed based on those behaviors. Usually, models use a particular language such as C or C++ or, of late, a graphical language such as Unified Modeling Language (UML) to describe the system.
Writing the Requirements Document
Published in Phillip A. Laplante, Requirements Engineering for Software and Systems, 2017
Finally, semiformal representation techniques include those that, while appearing informal, have at least a partial formal basis. For example, many of the diagrams in the unified modeling language (UML) or systems modeling language (SysML) family of metamodeling languages including the use case diagram are informal or can be formalized. UML and SysML are generally considered as semiformal modeling techniques; however, they can be made entirely formal with the addition of appropriate mechanisms (Laplante 2006).
Intelligent decision support model for recommending restaurant
Published in Cogent Engineering, 2020
Michelle Hartanto, Ditdit Nugeraha Utama
Before developing the model, it is necessary to have the stage of making a design of the model. In this case, a unified modeling language (UML) consisting of two diagrams, i.e. class diagrams and activity diagrams will be performed. Where, the UML is a modelling language operated scientifically to speak the constructed model to common reader in easy way. Last stage, three methods were operated. They were simple selection logic, cosine similarity distance, and optimization using L2HC method. A simple selection logic is used to sort out the status of halal or nonhalal food. Cosine similarity distance is applied to calculate the similarity between customer interests and types of food in each restaurant, while L2HC method is used to optimize the best restaurant recommendation by adjusting customer’s budget.