This introduces the first part of a video series about implementing your own reinforcement-learning model into AnyLogic. We discuss what reinforcement learning actually is and why simulation is so critical for it.
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Reflections from a visit to Silicon Valley where I heard from legends such as Marissa Mayer about their thoughts on AI. What does it mean for the future of simulation?
Let’s explore how machine-learning techniques and simulation could work together to solve problems that are currently untractable by either alone.
Let's check the "we likely live in a simulation" hypothesis, recently brought to fame by Elon Musk.
Letäs explore some ideas on how the 2nd sexiest job of the 21st century can be useful for the sexiest: Data Scientists.
Big question, big topic. Is it possible that a certain part of Analytics currently passes by on an important topic altogether? Join the discussion, I am keen to hear what you think.
The first part of a min-series on improving user interfaces in simulation models. Focusses on some general principles for a start.
Do you struggle explaining your work? What do you tell people when they ask? Or is that easy for you but the challenge is to hook potential clients or improve your simulation consulting skills? I found a really useful tool to all of these questions…
The recent Nobel laureate in Economics has a lot to say for simulation practitioners. Find out how agent-based models just wait for his inputs.
Do you wonder if a career in simulation consulting is for you? Do you want to advance from where you are? From my own journey, learn what to avoid and what to pursue to become an expert in simulation.
You are testing your model, right? Great! Let me show you how increase your testing efficiency, make your model code look elegant and even enable your clients take advantage of your testing.
Simulation has been around since long before computers. Find out what your great-grandparents had to teach you about good simulation.
I propose to apply the concepts of steampunk to modelling: over-engineering models of everyday life for the fun of it. Send your best suggestions and I will apply them.
This week, I review the latest beta release of the simulation software AnyLogic. New features are checked against their long-term impact on modelling work. Two are real game-changers, I think :-)
Follow these steps before even touching your modelling program to ensure success. It is all about planning...
Simulations are not Swiss army knives. Does your client know? Let’s take a brief look at reasonable expectations of stakeholders this week.
Agility is a useful tool in simulation modelling. However, each change request by a client should be scrutinized using a strategy. Let's explore one in more detail...
In the third part of our series on best modelling practices, we look at the issue of timely data. How can you best plan out your data journey with your client right from the start and what do you do when things change or data turns out to be out of reach?
In this second part of our series on best modelling practices, we look at the issue of stakeholder participation. A brief definition helps us to focus on how you can help your clients help you...