Human Behavior Simulation For Complex Scenarios Involving Coalition Operations

1. Compare and Contrast the Army Problem Solving Model (Process) with the Rapid Decision Making and Synchronization Process. (C100)

The US has discussed AI issues with Japan, Korea, Germany, Poland, UK, and Italy. The issue of AI is also being discussed in the UN the G-7 and the Organization for Economic Cooperation and Development. (Source 7). During these meeting it was recommended that the US government should develop a government-wide strategy on international engagement related to AI and should have strategies to account for the influence of AI on cybersecurity. Artificial intelligence in weaponry also raises the concern of “meaningful human control” in life or death situations. This could take the humanity out of fighting, if soldiers no longer have to face the people they may have to kill, who is to say they won’t shoot anyone they suspect of doing something unsavory. This is just a concern that should be addressed when deploying artificially intelligent machines to act in place of an army. On a different note, the use of AI may be able to predict attacks prior to them even occurring. An AI monitoring tool called iAWACS, or internet airborne warning and control system, is able to comb through tweet and images and predict the general mood of digital conversation (Fung). This can be helpful in preventing attacks or riots in an area. However, there is always the concern of cybersecurity and chances of hacking that would provide false information to lead the monitors off the trail of the

My first objective, to view and interact with a simple scientific computer model, was most definitely accomplished over the course of this simulation. I have done so by changing parameters, observing the simulation, and analyzing the data that was brought about by the simulation. I also determined through my use of the computer model that simple changes to one population in the ecosystem created through this computer model does not change the outcome of the simulation in any major way. On the other hand, if you completely get rid of one of the populations instead of raising or lowering

The computer simulation named “Rabbits and wolves” is about models and simple systems. In the simulation, there are three main organisms, rabbits, wolves and grass all put together in a forest ecosystem. An ecosystem is a set of organism within a defined area or volume that interact with one another and with their environment (Miller & Spoolman). A system is a collection of elements or components that are organized for a common purpose (Rouse, 2005).

After deciding a course of action the subject must prepare for the attack. Behaviours may include acquiring and practicing with weapons, assembling equipment, arranging transportation, observing significant dates, rehearsing, conducting final act behaviors, or costuming (Calhoun, F. Weston, S. 2003. p.79).

The categories of modeling techniques presented in this book include all of the following except: preventive models.

Person – situation interaction theories – These theories are based on assumption human beings choose and enact specific course of action over the alternatives, under the influence of situational factors and individual dispositional factors. These theories focus on the process which evaluates the consequences, hence leading to a particular decision

The Army uses these be ours for multiple reasons one being health. PTSD patients use this device to imitate real life surroundings and put them in similar situations from which they would face on the battlefield. “ giving soldiers a chance to rehearse the basics over and over on base before they head out to a field exercise. The Army’s temptation, however, is to use simulators to replace live training.”(Freedberg, 2013). There are different mounts for these training and have evolved from 1996 Starting with the VR-HMD and ending with 2015 Balandin. Presenting the start of 3-D graphics in human form, and put in an output of communication, and self-control.

The present age is tended to the technology age. You can see much headway in different technology areas. The social insurance area has been no exemption from this. Numerous organizations dispatch a program for this part that called self-services. By the assistance of this administration, you need ask anyone in the healing center where specialist lodge is or where is Operation Theater. By the assistance of development presentation services, you will discover the way yourself.

The simulation is useful because it evaluates project performance using real criteria, such as the scope, schedule and

Along with computer models, mathematical models are used as well. These models are closely associated with computer models because many of the computer models use mathematical models within them. They are “simplified versions of reality that … are especially helpful in cases in which several factors may affect the outcome” (Day, 101). Mathematical models are even more useful than computer ones because they can account for more than one factor. This helps to further improve computer models because scientists don’t have to look at one thing at a time; they have an overall perspective on everything. By using these models, scientists save a great amount of time during their studies. They also save money and animals because they don’t have

The first element to be considered is that unlike predictive systems in other fields, such as climatology or molecular biology, predictive models in ecology will have to take into account the inherent uncertainty that come with the study of living and adapting ecosystems. Whereas other fields can rely on tried and true methods of research and data observation, as well as thoroughly solid theories, predictive systems ecology models would have to be developed to a point where they can be used just as reliably. The next element that needs to be taken in account is the complexity of the models and computational elements that would be needed in order to effectively predict systems ecology. When dealing with models, science would have to recognize that ecosystems vary around the globe, and so would the methods that scientist in those different ecosystems would have to utilize to study their respective ecosystems. In order to combat this, predictive models would have to designed in a way as to allow different scientist to adapt and mold the models to be as suitable for their needs as they can. Also, the computational analysis software would need to be designed to allow for different algorithms and equations to be used in order to make accurate predictions for the different systems

Simulation is a computer process that gives a probable NPV or IRR for a project. All factors that affect the project’s returns are input. The computer then randomly selects one observation from each category. All of the observations are combined and the NPV or IRR is calculated from those figures. Simulation gives a range of outcomes as well as the probability of the outcomes. It provides the total risk level of a project.

The issues inherent in the simulation are not textbook problems or questions in which answers are cut and dried and determined quickly.

Models are used in many different disciplines, ranging from economics to biology. They aim to apply parameters to a phenomenon and provide an analysis of the responses by the system that is being modeled. A model is a good way to project the future feedbacks of a system in order to better plan and build policies regarding the discipline it regards. In sustainability science, a model has the ability to provide information that will lead to the best decisions regarding the longevity of environmental systems and how to go about ensuring the sustainability of these systems. Models can be beneficial in sustainability science and provide useful information pertaining to scientists and policy makers, but that requires proper use and implementation. Models have some risk associated with them in regards to sustainability science, and if not considered, a model can have shortcomings in usefulness. By looking at both the values and risks of models, future modeling techniques and implementations can be better developed well rounded solutions to future dynamic issues.