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Q&A: Hybrid Dynamic Models in COVID-19 Planning and Beyond


Q&A: Hybrid Dynamic Models in COVID-19 Planning and Beyond

The webinar Hybrid Dynamic Models in COVID-19 Planning and Beyond drew in a record number of attendees and prompted some great questions around the theme of simulation modeling and healthcare planning.

Dr. Nathaniel Osgood, a Professor in the Department of Computer Science and Associate Faculty in the Department of Community Health & Epidemiology at the University of Saskatchewan, provided great insight into simulation modeling related to healthcare. Read on for the webinar details, recording, and Dr. Nathaniel Osgood’s Q&A answers.

More new Big Book of Simulation Modeling


More new Big Book of Simulation Modeling

Three more new chapters are now online and available for download.

The new Big Book of Simulation Modeling: Multimethod Modeling with AnyLogic 8 continues to expand. Download the latest chapters of this key text for learning AnyLogic. The content is valuable for both beginners and professionals in simulation modeling.

The first updated chapter in this blog is about the three main approaches to modeling. The second chapter is devoted to creating interactive models and their controls. The third chapter is about virtual and real-time model operation.

Analyzing electricity smart grids and markets with simulation


Analyzing electricity smart grids and markets with simulation

Energy markets are changing. They are now open to competition, households regularly generate electricity, and a necessity for more environmentally friendly modes of transport means electric vehicles are placing new demands on electricity grids. While these changes take place, electricity delivery must remain stable and affordable.

Sjors Hijgenaar proposes a radical response to these developments — decentralized smart grids and direct local trade. As part of his analysis, he develops an agent-based simulation of a Dutch neighborhood that uses a smart grid and local trade to show the benefits for efficiency and reliability. How can this work?

Online resources for AnyLogic


Online resources for AnyLogic

Recent events surrounding the spread of Coronavirus have forced many of us to change our routines and find alternative ways to work and study.

For those of you whose work or study involves AnyLogic, we have gathered a variety of online resources to inspire your simulation modeling – some you may be familiar with; others will be new. Several are also available in different languages.

So, take a deep dive into these online resources and level up with AnyLogic. If you know of anything worthwhile that we have missed, tell us!

The new Big Book of Simulation Modeling


The new Big Book of Simulation Modeling

The key AnyLogic text is being updated and three new chapters are now online and available for download.

The 'Big Book of Simulation Modeling, Multimethod Modeling with AnyLogic 8', to give it its full name, is the go-to-book for those learning simulation modeling and AnyLogic. It is the only book to comprehensively present the three major paradigms in simulation modeling: agent-based, system dynamics, and discrete-event.

Suitable for both new users and professionals alike, the book provides practical step-by-step guides based on a variety of application areas. Read on, learn what's in the new chapters and download them to read.

How to build a stunning simulation


How to build a stunning simulation

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?