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The Big Book of Simulation Modeling – new chapters part 5


The Big Book of Simulation Modeling – new chapters part 5

New chapters are available for download.

The 'Big Book of Simulation Modeling, Multimethod Modeling with AnyLogic 8', is the essential text for those learning simulation modeling and AnyLogic. It is the only book to comprehensively present the three major methods in simulation modeling: agent-based, system dynamics, and discrete-event.

Suitable for new users, intermediate, and advanced, the book provides examples and step-by-step guides based on a variety of application areas. Read on and download the new chapters to read.

Pathmind Reinforcement Learning Experiment in AnyLogic 8.7.4


Pathmind Reinforcement Learning Experiment in AnyLogic 8.7.4

A new experiment in AnyLogic 8.7.4 links to Pathmind’s reinforcement learning (RL) platform, helping simulation modelers and artificial intelligence practitioners lever the synergy between simulation and AI. For large-scale and complex systems, solutions utilizing the Pathmind RL platform are outperforming well-established heuristics.

This blogpost highlights two industrial case studies from Engineering Group that use the Pathmind RL platform and introduces the integrated AnyLogic Pathmind experiment.

AnyLogic and AnyLogic Cloud updates: experiments, AGV, and the Road Traffic Library


AnyLogic and AnyLogic Cloud updates: experiments, AGV, and the Road Traffic Library

AnyLogic 8.7 and AnyLogic Cloud received updates at the end of March. Here is a quick overview of the improvements in AnyLogic 8.7.3 and AnyLogic Cloud.

New density map function. Now the map can display density not only for the current moment, but also the average for a specified period. For example, you can track the hourly change in the number of people in a store, or the average number of forklifts travelling through a workshop area per shift. To do this, in the map settings, select the Sliding window option in the Time period parameter.

Read on.

Product Delivery Reinforcement Learning


Product Delivery Reinforcement Learning

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!

Q&A: COVID-19 Mass Vaccination — Simulation, AI Application and Real-World Implementation


Q&A: COVID-19 Mass Vaccination — Simulation, AI Application and Real-World Implementation

As COVID-19 vaccines have become available, many challenges have needed resolving. Not least, ensuring sufficient supply and effective distribution.

At our webinar, March 2021, guest presenter Dr. Ali Asgary of York University, Canada, gave insight into the development and use of a drive-through mass COVID-19 vaccination simulation. He provided details of its machine learning model and online application, including how public authorities are using the results in their vaccination rollouts. Here are the webinar details, recording, and Q&A answers.

How to use AnyLogic Cloud: 5 typical scenarios


How to use AnyLogic Cloud: 5 typical scenarios

In 2017, we released AnyLogic Cloud to the public. With a userbase of around 10,000 modelers, it is now the largest public online platform for people working in simulation.

The public version of the service is available to everyone, allowing them to run models and experiments. Online models and experiment results can be shared online and run from a browser. The platform leverages the advantages of cloud computing: this way complex experiments are performed faster than on a regular computer, and the quality of animation depends minimally on the power of your device.

Winter Simulation Conference 2020 and AnyLogic


Winter Simulation Conference 2020 and AnyLogic

The Winter Simulation Conference from INFORMS is a major event each year on the simulation modeling calendar. The event brings together leading simulation modeling practitioners, academics, and software vendors.

AnyLogic simulation software is longstanding favorite at the conference, with the software featuring in more case studies than any other simulation modeling tool. Here are presentation and workshop highlights, including videos and papers.