A Multi Agent Cross Platform Modelingand-

The simulation posed a unique challenge one to me. It was neither purely an intellectual challenge nor entirely an exercise in teamwork, as with what I was accustomed to in high school. Instead, it tested my abilities under pressure and my ability to think on my feet. In our team’s planning sessions, we planned for the unpredictability of the simulation by acting out

Peter Holloway is a Systems Engineer with Rolls Royce Limited. He leads a team of simulation tool developers that code, refine, and integrate existing modeling tools that are used in the preliminary design phases of their jet engines. The preliminary design stages involve identifying candidate engine architectures, preparing proposals, and presenting proposals to customers such as Boeing and Airbus. Peter has been involved in simulation for about ten years in a number of different companies and at various levels. His team consists mostly of domain experts that have lent themselves to programming, with between three and five years of systems design experience.

Many educational programs are now using simulation. One issue is how best to prepare instructors for this paradigm shift. Educators will need an extensive understanding of the tools available, the opportunity for their use, and the grade of their practicality. Additionally, educators need to know about the available resources that will develop a functional, meaningful, and practical simulation program.

The simulation was very interesting in that my partner and I were given an opportunity to think critically about how to approach to influence different managers and workers with different characteristics. By running the simulation twice, it allowed us to find out what actions have worked and what did not during the first run, and then second run allowed us to apply what we learned to complete the second simulation in a much more efficient and timely manner.

As this is our first time working together as a team, it is no doubt that we require some time to build up the team chemistry in order to work better together. However, there is one thing that speed up this process. In this project, we all share a common goal and vision, which is to score high mark in the simulation exercise. This indirectly becomes a direction for us to head to as a team at the same time, enhancing our team dynamic along the way.

We were given the theme weeks prior to the simulation. Two words, perception and reality, had been on my mind ever since. Considering I was a first-timer, oblivious to the mind boggling experience that is Phoenix Simulation, I had no idea what to expect. In the span of six hours at Allen High School, surrounded by my fellow GT learners, I realized that what I perceive may not always be the reality.

“The defining attributes of a concept are the characteristics shared with other instances of its use in the literature” (Failla, 2014, p. 576). Simulation occurs when there is experimental learning in a safe environment. Simulations should be accessible to all learners, have a team leader, where roles are clearly defined, closed-loop communication is established and maintained, the sole purpose for gaining educational knowledge, and a post performance evaluation tool utilized not only to identify areas needing improvement, but to praise good teamwork, performance and skill set. Closed-loop communication is essential, as team members confirm the team leader is being heard, tasks are communicated effectively and correctly, and team members confirm

Simulations take a number of forms. The chief element is that they have context. Students must make decisions within its context.

There are many aspects to do in order to make the simulation better. For example, the professor should train students before they start the simulation in order to help students to understand the rules in the simulation to play well. Therefore, a weekly meeting would be very helpful in order to communicate with other students to apply what they would learn in class to their meeting. Also, there should be a punishment when a country invaded anther country, so they could fear from the consequences that would happen to them.

Imagine discovering the world around you is actually a computer simulation. Your entire life and everything you know in nothing more than lines of code. This might actually be the case for humanity. In 2003, Oxford University Philosopher Nick Bostrom published the article “Are You Living in a Computer Simulation?” which describes the reasons he has to support such a claim. Since then, multiple physicists and philosophers have commented on the theory, and the debate is still ongoing today.

simulation experiments. In this tutorial we give a state-of-the-art presentation of what the practitioner really needs to know to be successful. We will discuss how to choose the simulation run length, the warmup-period duration (if any), and the required number of model replications (each using different

The simulation is particularly designed this way for students to try different strategies in order to develop a deeper understanding of how different decisions lead to different outcomes. The Week 1 and Week 3 tutorials will particularly show you how to use the simulation, please make sure that you do attend them.

Modeling and simulation as a body of knowledge provide a basis to build and execute approximations of a real world system. Being termed as an efficient decision support system, modeling and simulation is able to understand and provide better solutions to the problems in various domains. It is also capable to predict and plan the future, mitigate risks, enhance the system performance and so on. Primarily, this modeling and simulation has emerged beyond manual methods of construction and execution of models to computer based tools. Besides this, most of the ecological economics depend on the human behavior.

The interaction process between simulation types has to be appropriate and highly efficient to ensure that the benefits of simulation integration are not lost through isolated activities.

The five agent-based technologies are currently being used in some capacity within OppenheimerFunds, Inc. as we used software such as intelligent agent for housing all our clients account information from invested funds, transactions performed and clients personal account information. In addition data-mining agents are used to understand the total investment by fund and ownership percentages. Another intelligent agent that we use is for our web transactions, which are then feed into various system for banking transactions, fund information, and account balancing.