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Monolithic applications can be compared to monoliths, such as Uluru, Australia: a large single (mono) rock (lith). In software engineering, a monolithic application is a single unified software application that is self-contained and independent from other applications, but typically lacks flexibility. [1]
Simple reflex agent Learning agent. A multi-agent system (MAS or "self-organized system") is a computerized system composed of multiple interacting intelligent agents. [1] Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. [2]
A monolithic system is a system that is integrated into one whole, analogous to a monolith. The phrase can have slightly different meanings in the contexts of computer software and hardware. The phrase can have slightly different meanings in the contexts of computer software and hardware.
Monolithic application, software architecture for computer applications; Monolithic codebase, repository architecture for source control; Monolithic kernel, kernel architecture for computer operating systems; Monolithic system, computer system architecture where processing, data and the user interface all reside on the same system
A monolithic HPLC column, or monolithic column, is a column used in high-performance liquid chromatography (HPLC). The internal structure of the monolithic column is created in such a way that many channels form inside the column. The material inside the column which separates the channels can be porous and functionalized.
Fast protein liquid chromatography (FPLC) is a form of liquid chromatography that is often used to analyze or purify mixtures of proteins. As in other forms of chromatography, separation is possible because the different components of a mixture have different affinities for two materials, a moving fluid (the mobile phase) and a porous solid (the stationary phase).
The field is broadly defined and includes foundations in biology, applied mathematics, statistics, biochemistry, chemistry, biophysics, molecular biology, genetics, genomics, computer science and evolution. Computational biology has become an important part of developing emerging technologies for the field of biology. [3]
Furthermore, DAI systems are built to be adaptive to changes in the problem definition or underlying data sets due to the scale and difficulty in redeployment. DAI systems do not require all the relevant data to be aggregated in a single location, in contrast to monolithic or centralized Artificial Intelligence systems which have tightly ...