Description: Quasi-Realistic Multimodal Simulations are an innovative approach in the field of modeling and simulation that seeks to replicate real-world experiences through multiple sensory modalities. These simulations integrate data and representations from different sources, such as text, images, audio, and video, to create an interactive environment that resembles reality. The term ‘quasi-realistic’ implies that, while a perfect replication of reality is not the goal, a sufficient level of realism is pursued so that users can interact and learn effectively. This type of simulation relies on advanced technologies such as artificial intelligence, machine learning, and augmented reality, allowing for deep immersion in the simulated context. The ability to combine different sensory modalities not only enriches the user experience but also enhances understanding and retention of information. In a world where digital interaction is increasingly prevalent, Quasi-Realistic Multimodal Simulations represent a significant advancement in how complex data can be presented and experienced, facilitating education, training, and research across various disciplines.
