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Figure No. 3. The significance of the white-box/grey-box models is a depth of insight into the problem domain.
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Įmonių taikomųjų programų sąveika dinamiškoje aplinkoje yra aktuali problema. Būtina ieškoti naujų metodologijų ir sprendimų. Siūlomo metodo metodologinis pagrindas yra vidinio modeliavimo paradigma, kuri integruota su MDA (OMG) metodu. Modifikuota MDA schema apima naują modeliavimo sluoksnį, skirtą žinioms apie realybės domeno savybes aprašyti, na...
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Context 1
... conceptual structure of the intelli- gent agents meets the generalized structure of the software component with the internal model ( Fig. No. 3). All types of the intel- ligent agents include a domain model (en- vironment model) as a set of rules needed to follow under certain conditions. The internal model of different intelligent agents captures the various knowledge items of the ...Context 2
... conceptual structure of the intelli- gent agents meets the generalized structure of the software component with the internal model ( Fig. No. 3). All types of the intel- ligent agents include a domain model (en- vironment model) as a set of rules needed to follow under certain conditions. The internal model of different intelligent agents captures the various knowledge items of the ...Citations
Decision making in sport involves forecasting and selecting choices from different options of action, care, or management. These processes are conditioned by the available information (sometimes limited, fallible, or excessive), the cognitive limitations of the decision-maker (heuristics and biases), the finite amount of available time to make the decision, and the levels of risk and reward. Decision support systems have become increasingly common in sporting contexts such as scheduling optimization, skills evaluation and classification, decision-making assessment, talent identification and team selection, or injury risk assessment. However no specific, formalised framework exists to help guide either the development or evaluation of these systems. Drawing on a variety of literature, this paper proposes a decision support system development framework for specific use in high-performance sport. It proposes three separate criteria for this purpose: 1) Context Satisfaction, 2) Output Quality, and 3) Process Efficiency. Underpinning these criteria there are six specific components: Feasibility, Delivered knowledge, Decisional guidance, Data quality, System error, and System complexity. The proposed framework offers a systematic approach for users to ensure that each of the six components are considered and optimised before, during, and after developing the system. A DSS development framework for high-performance sport should help to improve both short and long term decision-making in a variety of sporting contexts.
Transforming and generating models is a meaningful process in Model Driven Engineering (MDE). Theoretical and practical researches for MDE have remarkably progressed recently in managing with the increase of complexity within information systems (IS) during their development and support processes by growing the level of abstraction using different kinds of models as information storage – as knowledge storage of problem domain. As models expand in use for developing systems, the possible transformation among models grows in importance. The main scope of the article is to present transformation algorithm of Unified Modelling Language Use Case model generation from Enterprise Model (EM). The transformation algorithm is presented in details and depicted by steps. The presented generation process steps are illustrated by particular UML Use Case example following the transformation algorithm step by step.
The hierarchical Detailed Value Chain Model and the Elementary Management Cycle model of educational domain knowledge content updating are formally described in this paper, wherein computerized process measures are also proposed. The paper provides a method for updating the knowledge of the analyzed domain, referred to as the “enterprise domain,” based on enterprise modelling in terms of management information interactions. A method was designed, the formal DVCM and EMC descriptions of which are provided in the BPMN notation, allowing to develop a two-level (granular) model for describing the knowledge of educational domain management information interactions. In implementing this model and its algorithms in technological terms, a subsystem of enterprise knowledge has been created in a knowledge-based CASE system (computerized knowledge-based IS engineering), which performs the function of a domain knowledge database.
