I think that, when attempting to model the nervous system, it is important not to overlook the fact that the nervous system has an immense organized complexity.doi:10.1007/978-1-4899-6323-9_7Samuel BogochSpringer US
We analysed approximately 20 million watermarked and unwatermarked responses and computed the thumbs-up and thumbs-down rates (both as a fraction of the total number of thumbs-up and thumbs-down feedback received). We found that the thumbs-up rate for the two models differed by 0.01% (...
We combine these insights into a framework for scaling AI underscoring the need for joint investments in AI capabilities development and AI-driven business model innovation. The framework illustrates the interdependences and feedback loops between these AI capabilities and business models, showing that ...
Test Modeling Language (TML): A text-based modeling language that enables the creation of detailed and complex models. While powerful, it can be less user-friendly compared to graphical modeling tools, making it ideal for more advanced or highly customized scenarios. How does Model-Based Testing...
Since the SHM features a multitude of feedback loops, locating errors was very tedious with the original monolithic model. Systematic debugging became only possible when we isolated the different parts of the system, such as the baroreceptors, and subjected them to controlled input signals to obser...
The model changes how the team members collaborate by facilitating clarity and feedback, encouraging open communication, andeffective team collaboration. This creates an environment that nurtures openness and acceptance, allowing for the free exchange of innovative ideas and perspectives. ...
ii) Importance of time, path-dependency, lock-in and irreversibility: SD accounts for time, path-dependency, lock-in and irreversibility explicitly. Specifically, as mentioned above feedback loops are key elements of SD and SD highlights that in complex systems small parameter changes can get ampl...
Effect-Proven & Sandbox: Supporting data-model co-development, enabling rapid iteration through the sandbox laboratory, and providing features such as feedback loops and visualization, so that you can better understand and improve your data and models. Many effect-proven datasets and models have been...
We combine these insights into a co-evolutionary framework for scaling AI through business model innovation underscoring the mechanisms and feedback loops. We offer insights into how manufacturers can scale AI, with important implications for management. 展开 ...
the swing leg is moved in a goal-directed manner to a target that is updated in real-time based on sensory feedback to maintain upright balance, while the stance leg is stabilized by low-level reflexes and a behavioral organization switching between swing and stance control for each leg. Wit...