Blog

Using Simulation to Train and Test Artificial Intelligence for Business Applications


Using Simulation to Train and Test Artificial Intelligence for Business Applications

The relationship between simulation and artificial intelligence is increasingly close, especially for deep reinforcement learning. The AnyLogic Company CEO, Dr. Andrei Borshchev, explores this trend in Using Simulation to Train and Test Artificial Intelligence for Business Applications, a presentation given at the GE EDGE & Controls Symposium 2019 in Niskayuna, NY.

Here is a brief summary of the video recording with links. Check it out and see how AI and simulation are developing together...

AnyLogic simulation workshop in Japan with Material Handling, Pedestrian modeling and GIS


AnyLogic simulation workshop in Japan with Material Handling, Pedestrian modeling and GIS

The recent AnyLogic workshop in Kawasaki demonstrated the continued growth and importance of simulation modeling throughout multiple industries in Japan.

At the event, organized with TechSupport Management Inc., attendees received practical training on how to build the right models for their needs. Over the two days of the workshop, the sessions focused on Material Handling, Pedestrian simulation, and the use of GIS in modeling. Read on and see the photos...

Whitepaper: Multimethod simulation modeling for business


Whitepaper: Multimethod simulation modeling for business

AnyLogic whitepapers focus on simulation related topics, they provide an overview of their subject, some deeper insight, and examples, so that readers can work better with simulation technology and see how best to apply it. Here we introduce our whitepaper on Multimethod Simulation Modeling for Business.

There are three main approaches to simulation modeling — system dynamics, discrete-event, and agent-based — each with their own strengths and ...

Video: simulation and reinforcement learning – panel discussion


Video: simulation and reinforcement learning – panel discussion

The concepts and the business case for using simulation with reinforcement learning are highlighted by the panelists as they discuss a series of questions from Dr. Anand Rao, PwC Partner and Global AI Lead. With commercial examples that highlight the successes and the challenges of working with the technologies, the participants demonstrate that simulation and deep reinforcement learning are especially suited.

Here is the recording of the session from the 2019 AnyLogic Conference. It’s not the shortest video on our YouTube Channel but it is interesting and informative – cast it to a big screen if you can! Enjoy!

An industrial problem resolved by AI and simulation


An industrial problem resolved by AI and simulation

A short blog presenting an industrial problem and its reinforcement learning solution, made using AnyLogic and developed by EII. The flexibility and customizability of AnyLogic allowed the use of RL4J to create a hybrid platform.

Read on, find out about the problem and see how to train learning agents by letting them interact with an AnyLogic environment. You will also learn the techniques used to formulate the industrial problem in a way fit for machine learning.

Apollo 11, better living, and AnyLogic in the WSJ


Apollo 11, better living, and AnyLogic in the WSJ

In connection with the 50th anniversary of Apollo 11 and the first humans on the moon, the Wall Street Journal ran an Inside View article by Andy Kessler, Better Living Through Simulations. What a combination, the moon landings and simulation!

The moon landings were straight-up awesome and, perhaps like many of you, we enjoyed much of the Apollo 11 anniversary coverage. So, when we found a WSJ article featuring simulation in...