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Scaling AnyLogic Models for Mass Runs and Sub-Second Responses


Scaling AnyLogic Models for Mass Runs and Sub-Second Responses

More runs, more users, and more model. More and more is demanded of simulation models as clients analyze greater numbers of scenarios, expand user access, and model in greater detail. How to scale and meet these demands?

PwC emerging technology senior manager Sindy Ma is an expert on scaling simulations. Her presentation at the AnyLogic Conference 2021 showed three real-world case studies of projects that met the challenge of scaling simulations for more scenarios, more users, and more model. Find out more...

Don’t try deep reinforcement learning without this


Don’t try deep reinforcement learning without this

Automated systems have reached their limits and companies wanting to further enhance business processes are turning to artificial intelligence (AI) technologies like machine learning (ML). In an AnyLogic workshop, Microsoft Autonomous Systems Principal Program Manager Kence Anderson explored the advanced decision-making possibilities of ML and showed how Microsoft’s machine teaching concept is achieving faster training times.

The easily accessible workshop session provides a high-level overview of AI’s state of the art with examples from Microsoft and DeepMind research, as well as illustrative Karate Kid analogies.

Webinar follow-up: Simulation Project Life Cycle


Webinar follow-up: Simulation Project Life Cycle

Building a successful simulation project is a complex endeavor that can lead to failure if proper tools and best practices are not used. The webinar objective was to discuss, for each phase of a project, how to optimize your chances of resolving a business problem you are facing.

This guest blog by Felipe Haro of Noorjax Consulting follows his AnyLogic Project Life Cycle webinar. The webinar goes deep into how best to manage simulation projects and can be found at the foot of the blog. This blog provides simulation project management context and introduces the main themes of the webinar.

Pathmind Reinforcement Learning for Simulation webinar


Pathmind Reinforcement Learning for Simulation webinar

Pathmind is a platform that enables AnyLogic users to integrate reinforcement learning into their AnyLogic simulations. This webinar demonstrates how to set up Pathmind reinforcement learning in an AnyLogic model and train an AI policy in the Pathmind web application. We also share two example models that showcase how reinforcement learning can outperform baseline heuristics and other optimization tools.

Find out more, see the webinar recording, and learn from the example models.

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.