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Hi, everyone! You must have noticed that in the latest version of AnyLogic, AnyLogic 7.2, all models obtained a new object at the project tree — the Database object. What does this mean for developers? The built-in database feature helps to build the models that require a certain amount of external data for initialization and work. There are four primary benefits: 1. It removes extra connectivity layer between Excel/external DB and model. The database is now available in all editions, including free AnyLogic Personal Learning Edition.

The latest winner of the Nobel Prize in Economics, Angus Deaton is showcased in Ben Schuman’s blog from October 19th, 2015. Ben Schumann a senior modeler at decisionLab with a Ph.D. in Complex Systems Simulation. Moreover, as you know, Ben is a significantly experienced AnyLogic User, who works with diverse clients such as the MoD, Rolls-Royce or GSK. He handles project delivery from start to end, managing team members, and client communication. Typically, both economics researchers and mathematical modelers take into account certain parameters and the model outcomes are defined by the modeler. In the case of Deaton’s work and agent-based modeling, a different approach is used by defining individual behavior, and studying how it plays out.

Thank you for registering and attending the "AnyLogic 7.2 Webinar" on October 15th. We hope the webinar was interesting to you and met your expectations. For your convenience, the recorded webinar is available on the Educational Videos page of AnyLogic.com. The goal of AnyLogic and your webinar moderator, Tom Baggio, Sr. Solutions Architect at AnyLogic North America was to expand your knowledge of AnyLogic capabilities, functions and features. Please let us know how we can enhance your webinar experience by completing this short survey.

The AnyLogic North America team is growing again. As a Simulation Modeler you will work on a variety of projects and sales activities surrounding model building with AnyLogic. Learn more about the Simulation Modeling position and AnyLogic North America through our careers page and apply through our job posting on LinkedIn. This is your opportunity to work with the most influential organizations in the world, for the most innovative Simulation and Modeling Company in the world. AnyLogic has set the trend through multimethod modeling, and our team is like our software, flexible, complex, and dynamic with continuously increasing capabilities. Of course, you will share your expertise and leverage your technical experience, but an AnyLogic team member will also adapt to working under pressure in a fast paced environment.

The AnyLogic Conference 2015 is just around the corner! The optional Conference workshop on Wednesday, November 4th from 9:00 am – 11:00 am will be held on the 3rd floor of Le Meridien Philadelphia Hotel in the Abele Library. You must register for the workshop as space is limited. Conference registration begins at 11:30 am, also on the 3rd floor in the Trumbauer Lobby, where you will pick up your AnyLogic gift box and name badge. A light lunch and beverages will be served between 11:30 am and 12:15 pm in the Trumbauer Ballroom where Conference proceedings begin at 12:15 pm.

We at the AnyLogic Support Team very often get asked by the users: what to do if I can not reproduce model results? That is why I decided to share the list of the most common sources of randomness in the model. So, if you run the model with the Fixed seed of random number generator, but the results are not reproducible, please check your model according to the list below. For all experiments:

During the webinar, we will build a logistics model and show the unique capabilities of AnyLogic 7.2. The model will include mining, rail, and sea transportation. We will use agent-based modeling technology; the agents will be created and parameterized directly from the built-in AnyLogic database. o demonstrate AnyLogic’s extensibility, the webinar will focus on these key new features:

Join us for an AnyLogic Workshop Wednesday morning, November 4th from 9:00 am- 11:00 am. Get the latest tips and tricks on our most advanced software and newest versions, straight from the source! The workshop will be conducted by Dr. Andrei Borshchev, CEO, Nikolay Churkov, Head of Development and a special guest instructor. Space is limited, register now!

Check out the latest blog post from my colleague and friend, Ben Schumann a senior modeler at decisionLab with a Ph.D. in Complex Systems Simulation. Moreover, as you know, Ben is a significantly experienced AnyLogic User, who works with diverse clients such as the MoD, Rolls-Royce or GSK. He handles project delivery from start to end, managing team members, and client communication. Dr. Schumann’s post asks a crucial question, “Are you testing your models?” If the answer is yes, he provides advice for better more efficient testing, and if not, let Ben share some advice on how. Go beyond traditional testing methods (i.e. visual, “traceIn” statements, analyze output data, apply dedicated unit testing) and create a structured, repeatable approach, or dedicated function. What Ben calls “The Magic Ingredient.” Find out about “The Magic Ingredient” and other ways to create personalized unit testing through Ben Schumann’s web page and the AnyLogic LinkedIn Users forum.

At the beginning of 2015 we were proud to release a free version of the software called PLE, or Personal Learning Edition meant for learning, teaching, and self-study. Since the release, we have been extremely impressed with not only the increase in the number of users but the complex projects produced with the free version. Our latest discovery is from Mihir Paithane, a student in the STEM (Science, Technology, Engineering, and Math) Program at Mills E. Godwin High School in Richmond, Va. Mihir built a model to analyze the “Effect of Cellular Interactions on Cancer Cell Growth Using Evolutionary Game Theory.” In this experiment, game theory was used to assess the interactions between three cell phenotypes usually found in cancer. The three defined cells were autonomous growth cells, invasive and motile malignant cells, and cells that performed anaerobic glycolysis. Based on preset variables in the payoff matrix, analytical equations were deduced that allowed for the analysis of the proportion of autonomous growth and malignant cells in a tumor. AnyLogic was also used to simulate the interactions between cancerous and healthy cells.