A guest post from Jaco-Ben Vosloo and Vitor Lemos, co-founders of The AnyLogic Modeler.
While you may have heard of Python scripting in AnyLogic, Java is the original, and currently the only fully-supported, scripting language. Knowing a little Java can really level up your simulation modeling in AnyLogic. The course introduced here is a new way to gain that knowledge.
Which skill do you need again and again throughout your career? Without this skill, you will forever wonder why you do not progress, why others do not seem to be helpful. With it, things will flow easily, be fun and others will love to help you.
This skill is a secret superpower that some use to their advantage, while others never master it. This skill is especially important when learning technical skills such as simulation modelling, or AnyLogic in particular. Read on...
A how-to video that shows how to easily import walls from a CAD drawing into an AnyLogic simulation model.
By following the video, you will learn how to quickly create wall elements in an AnyLogic model from a CAD file. This method particularly speeds up the creation of models for pedestrian simulations. Watch the video and learn more...
Accenture partnered with San Francisco based AI company Pathmind to investigate the potential of new reinforcement learning (RL) opportunities in simulation.
The results obtained were extremely good. The method produced a waiting time more than 4x shorter than the Nearest Agent heuristic.
In this blog post, Agustin Albinati summarizes the model, introduces the three key considerations when defining the neural net, and presents the results of his team's investigations. Linked at the end of the blog post is a step by step how-to with Pathmind. Read on!
Introducing the AnyLogic Cloud API and Python. In this blog, see how to use the AnyLogic Cloud API with Python and evaluate its capabilities with an example model.
Python’s popularity ranks just behind that of JavaScript as the world’s second most popular language on GitHub. It is a popular language for machine learning, data processing, and data presentation. For AnyLogic, the Pypeline connector library allows you to call Python from within a running AnyLogic simulation model — learn more in our Pypeline webinar video. In this blog we will focus on the AnyLogic Cloud API and Python.
A key part of the AnyLogic 8.6 update related to the Material Handling Library. Now the movement of transporters such as AGV can be restricted by area and access can be permitted conditionally: by transporter number, by schedule, by throughput, and more.
This technical blog guides you through how to use these restricted areas and demonstrates them with the help of a practical example model: Areas with Limited Access for Transporters.
Part five of our series on AnyLogic’s Material Handling Library, a library specifically designed to help model the work of factories, warehouses, and other facilities where goods are moved, processed, and sorted.
This blog demonstrates how to connect individual conveyors, and any processing stations on them, into a single conveyor network using the Network Port element.
Ready to level up? Then let's dive right in!
The day AnyLogic presented their AnyLogic 8.5 updates I was very excited. In addition to the headline developments I found that they had added a 3D bike object. That reminded me of an old model of bikes that I had uploaded to RunTheModel, and that, in turn, made me think about developing an idea to create a similar model using the process modeling library. Would it be possible to create a discrete-event (DE) model that seems as if it was created entirely using agent-based (AB) modeling?
