Microsoft Project Bonsaiを使用すると、AIのバックグラウンドがない専門家でも、専門知識を活用してAIエージェントを指導し、実際のビジネス上の問題を解決できます。 Project BonsaiとAnyLogicシミュレーションを使用するための主要な概念とワークフローを紹介する、ウェビナーと付随するリソース情報を以下に示します。
このウェビナーは、AnyLogicとMicrosoftが提携して 、ビジネスアプリケーションに深層強化学習と機械教育をもたらす内容となっています。Microsoft Project Bonsaiチームの主任プログラムマネージャーであるDavid CoeとAnyLogic AIプログラムリーダーのArash Mahdaviが、シミュレーションを使用してAIをトレーニングし、シミュレーションでAI制御を実装するためのエンドツーエンドのワークフローを実証します。
The How to train a policy for controlling a machine webinar demonstrated the use of a simulation environment in deep reinforcement learning. The recording is available below, along with the supplementary materials – so you can try it out for yourself and explore some of the possibilities.
The materials above in combination with the video recording of the webinar cover everything that is needed to reproduce the entire training setup.
The videos of the presentations and workshops from AnyLogic Conference 2019 are online. A diverse cross-section of organizations presented insightful and inspiring examples of simulation at work, highlighting the broad adoption of simulation modeling for commercial and industrial interests.
If you know what you want to see, jump straight to the playlist. Otherwise, here is a brief overview of the themes and some content pointers.
Use GIS mapping and routing data when offline. Here is a how-to that shows how simulation models can run standalone and work when internet access is restricted, slow, or not possible at all. All the data needed can be downloaded and stored for AnyLogic to access offline.
This video demonstrates how to download GIS data for your simulation, including how to avoid large file sizes. The video also details file storage and how AnyLogic is configured to work with offline GIS data. Watch the video...
Benjamin Schumann is an experienced AnyLogic practitioner, with many years of experience simulating business problems. At the AnyLogic Conference he shared his best practices. Built on almost ten years of commercial and academic simulation modeling with AnyLogic, the presentation is specially designed to provide invaluable information for beginners, advanced users, and experts.
YPF is the largest oil producer in Argentina. It has 43% of the oil and gas production market and 58% of the gasoline market in the country. They hired consultants from Continente Siete to develop a decision support system (DSS) for determining work schedules.
The new maintenance planning system helped YPF save $18 million annually at the pilot implementation site. Forecasts suggest, the integration of the DSS with the work processes of other sites should save the company another $234 million per year.
