What are intelligent agents in the context of fluid analysis?

Intelligent agents in the context of fluid analysis refer to systems that incorporate advanced algorithms and domain knowledge to perform analysis tasks effectively. These agents are designed to interpret complex data sets, make decisions based on the analyzed information, and often provide insights that are beneficial to the user. They use artificial intelligence to simulate human-like reasoning and problem-solving abilities, allowing them to handle tasks that require a deeper understanding of fluid characteristics, behaviors, and interactions.

The inclusion of domain knowledge is crucial because fluid analysis often involves nuances and specific requirements that general algorithms alone might not manage adequately. This expertise enables the intelligent agents to tailor their analyses to the specifics of the fluid in question, improving accuracy, reliability, and the relevance of the results produced. This level of sophistication distinguishes intelligent agents from simpler systems that may rely on basic computing functions or require manual input without any reasoning capabilities.