By default, a typical Engineer will think in systems. Each specialist sees something different. Instead of a latticework of mental models, we have a few from our discipline. It turns out that when it comes to improving your ability to make decisions variety matters. The more models you have-the bigger your toolbox-the more likely you are to have the right models to see reality. The quality of our thinking is proportional to the models in our head and their usefulness in the situation at hand.

We cannot keep all of the details of the world in our brains, so we use models to simplify the complex into understandable and organizable chunks. Mental models are how we simplify complexity, why we consider some things more relevant than others, and how we reason.Ī mental model is simply a representation of how something works. Not only do they shape what we think and how we understand but they shape the connections and opportunities that we see.

Mental models are how we understand the world. The Great Mental Models Volumes One and Two are out.

Building a Latticework of Mental Models.

By the time you’re done, you’ll think better, make fewer mistakes, and get better results. It also has more traditional applications such as testing and validation of control schemes before deployment on physical robots, interactive scientific visualization, virtual environments, animation and gaming.This guide explores everything you need to know about mental models. MuJoCo makes it possible to scale up computationally-intensive techniques such optimal control, physically-consistent state estimation, system identification and automated mechanism design, and apply them to complex dynamical systems in contact-rich behaviors.

Instead it is the first full-featured simulator designed from the ground up for the purpose of model-based optimization, and in particular optimization through contacts. It offers a unique combination of speed, accuracy and modeling power, yet it is not merely a better simulator. MuJoCo is a physics engine aiming to facilitate research and development in robotics, biomechanics, graphics and animation, and other areas where fast and accurate simulation is needed. Initially it was used at the Movement Control Laboratory, University of Washington, and has now been adopted by a wide community of researchers and developers. It is being developed by Emo Todorov for Roboti LLC. MuJoCo stands for Multi- Joint dynamics with Contact.

Physics modeling software