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AnyLogic

State-of-the-art general-purpose simulation ecosystem for applied AI

AnyLogic is the market and technology leader in the realm of general-purpose simulation. As a result, AnyLogic models can help AI practitioners in many different practical applications, including:

  • 01

    train AI agents with reinforcement learning

    connect applied simulation models to RL agents and train them for deployable policies.
  • 02

    testing or embedding ML models

    utilize trained ML models within simulated environments.
  • 03

    synthetic data generation

    generate unlimited amounts of relevant, clean, structured, and labeled training data.

Why use AnyLogic with AI?

  • Open API and programming capability – Support for across-the-board object-oriented development with open API alongside visual modeling capabilities.
  • AnyLogic Cloud – A proprietary software for server-based model execution. RESTful APIs in JavaScript, Python, and Java allow for abstracting away from directly interfacing with the model.
  • Agent-based modeling – AnyLogic’s unique agent-based technologies naturally position it as a powerful model building platform for training environments used in multi-agent reinforcement learning schemes.
  • State-of-the-art simulation technologies – AnyLogic is the only platform that supports all simulation methods (Discrete Event, Agent-Based, System Dynamics) and any combination of them, in addition to specialized modeling libraries for material handling, process modeling, fluid, rail, pedestrian, and road traffic.
  • Ease-of-use – AnyLogic allows the use of visual modeling languages, scripting, and external libraries. Native support for flowcharts, state-charts, action charts, and stock and flow diagrams allow for development with ease, while native support for scripting provides extensibility.
  • Proven application in a variety of industries – AnyLogic is the de-facto simulation platform for Fortune 500 companies across the globe. The familiarity of these businesses with AnyLogic is advantageous to AI practitioners who want to use the platform as part of AI solutions for these companies.

AI Simulation Integrations

Training AI-agents with Microsoft Project Bonsai


AnyLogic has joined forces with Microsoft to bring deep reinforcement learning and machine teaching capabilities of Project Bonsai to practical business applications. Through our work with Microsoft, we have developed an easy-to-use connector that allows you to use AnyLogic models as simulators connected to the Bonsai platform. This innovative and novel use of business-oriented simulation models brings state-of-the-art adaptive control and deep reinforcement learning to real-world manufacturing and operations. Business Analysts and Engineers alike are now able to utilize advanced Artificial Intelligence without the need to become data scientists.

Learn more

Enhancing the Predictive Capabilities of Simulation with H2O.ai Automatic Machine Learning


AnyLogic is proud to partner with H2O.ai, the leading automatic machine learning platform. Now, you can use the distinct predictive capabilities of simulation and machine learning together.

To get started with incorporating machine learning (ML) models trained with H2O.ai Driverless AI, we have two documented proof-of-concepts models for download. Embedding ML models into simulations enables new areas of application: data scientists can test solutions in a risk-free space and simulation modelers can access more data-driven inputs. Read on, learn more, and try it for yourself!

Learn more

Boost Performance over Your Baseline with Pathmind AI


AnyLogic is proud to work with Pathmind to help you train AI agents easily to make better decisions. Your AI agents will train quickly using a simple web application, and you won’t need to worry about building or maintaining complex tooling or infrastructure. You don’t even need to think about which cloud you are using. By combining the latest deep reinforcement learning methods with tools you know, Pathmind makes it easy for you to

  • experiment with AI
  • adapt AnyLogic simulations for AI
  • deploy a Pathmind Policy to make decisions in operations

No proprietary languages required! Pathmind helps you discover strategies that improve your results and demonstrate their value.

Learn more

Simulation and AI case studies

Video: Anylogic for AI industry

Andrei Borshchev, CEO, The AnyLogic Company, at the 2019 AnyLogic Conference, summarizing the use of simulation in machine learning for business. Highlighting the risk-free and ease-of-use for training that AnyLogic provides.

For a much deeper dive into a reinforcement learning example, you can watch the Arash Mahdavi and Ty Wang presentation.

AI & Simulation in Business White paper and Materials

Fill out the form and receive an email with our white paper and links to a range of materials.

Learn from the white paper how AI and simulation make a powerful combination, including when working on training or testing policies, and when dealing with data quality and quantity. From the associated materials, get a clear idea of how simulation modeling with AnyLogic can benefit your AI development. Read the paper, see the videos, hear the discussions, and get some hands-on!

Fill out the form and receive:

  • Artificial Intelligence and Simulation in Business white paper
  • Webinar recording explaining artificial intelligence and simulation integration
  • An industrial problem resolved by reinforcement learning and simulation
  • AnyLogic panel discussion with PwC, Microsoft, Skymind and decisionLab
  • Presentation video and slides on Integrating AI and Simulation