Agent Based Models ( Abm )

A scientific model is a tool that helps explain natural phenomenons or answer scientific questions. A scientific model can come in a variety of different forms such as drawings, graphs, equations, and three dimensional figures. They use these visuals to not only make it easier for other people to understand their models, but also as a form of evidence to prove that the conclusion they reached through an experiment or test was valid.

There are many components that make up literacy. In order to effectively teach students these components the teacher must model the concept for the students. As teachers, we can't expect or assume that the student already knows what we expect of them. Modeling gives students a basis of what to go by. Modeling is the first and most important step in order for the students to gain mastery of a concept. A teacher must also undergo guided practice with the students. A teacher should always provide

Agents are in most scenarios created for the purpose of changing the legal position of the principle. There are many methods of granting an agent with this authority. There are many legal cases affiliated with the question as to whether or not an agent has been granted authority to change the authority of the principle. This essay will critically discuss the different types of agents’ authority.

This is all that is needed to maintain the agent’s moral responsibility. With these definitions in place, Campbell has finally set the stage for his argument.

A choice issues from, and can be sufficiently explained by, an agent’s character and motives, then to be ultimately responsible for the choice, the agent must be at least in part responsible by virtue of choices or actions voluntarily performed in the past for having the character and motives he now has (295).

Although there are a number of findings that dictate the need for explanation obedience, Reicher and Haslam (2011) argued that rather than a form of ‘agentic shift’ occurring for the

The supply and demand simulation was a simulation of GoodLife Management, a property management firm controlling all of the seven apartment complexes in the city of Atlantis. For the 9 year period in the simulation the housing market had many ups and downs because of businesses moving into the area bringing an increased amount of jobs, the change in consumer preferences and company expectations, and the policy changes induced from the government.

The three types of modeling discussed are Discrete Event (DE) Modeling, Agent-Based (AB) Modeling, and System Dynamic (SD) Modeling. Medication monitoring and entry, is one of the most common uses of DE modeling. DE modeling according to Brown (2013) “Is use to study processes, streamline them and reduce bottlenecks through better resource allocation. AB modeling deals more with comparisons on a system wide basis. This type of modeling is therefore used more frequently in public health application were there is comparison of various patient demographics. The example given by Brown is the use in tracking the patterns of behaviors in patients who smoke. It is interesting that this type of modeling is common in “game theory, artificial intelligence and complexity science”.p 189 according to Brown (2013). I would have guessed that SD modeling was used in AI, because it is works with dynamic systems over a period of times where the system has the ability to learn. SD is used for developing strategies and structures for organizations. Lattiermer (2004) “Showed the potential consequences of continued growth in demand for emergency care,” through the use of SD modeling. They were able to build a map of the patient experience from admission to discharge.

The simulation is a model with no right or wrong answers, and has rational expectations of both the person using the simulation and the person reading the analysis of the data from the analysis. This is in the category of macroeconomics because it deals with the “big picture” of the analysis’ expectations.

The GoodLife Management supply and demand simulation is based on the management of 2500 two-bedroom condominium apartments in a fictitious town named Atlantis. According to the simulation they are the only management firm in Atlantis and have a monopoly in the market. The simulation shows the issues the management deals with and gives the opportunity to see how the right or wrong decisions can affect the outcome of those decisions.

According to Kearney-Nunnery (2016), “A conceptual model is defined as a set of relatively abstract and general concepts that addresses the phenomena of central interest

Both models have strengths and weaknesses. One is simple and could be filled out my hand. The other is complex, yet allows the owner to gather more information. Simplicity and superior are locked in a conflict of usefulness. In other words, based on each models’ strengths and weaknesses we have to understand which will be more useful, in spite of their flaws.

Modeling is the process of choosing and using appropriate mathematics and materials, apply them experiential situations, and analyse them for better understanding ("High School: Modeling | Common Core State Standards Initiative", 2016). There are two kinds of modelling that can help understand place value especially when trying to progress understanding of larger numbers. The first is proportional modelling which is represented by units bearing the same size (Reys et al., 2012, p. 170). For example, the material used to represent the value of 10 is ten times the size of 1 unit. The second type of modelling is non-proportional modelling. This occurs when size relationships are not maintained and often differ, for example, money or coins (Reys et al., 2012, p. 170). These can help develop the relationship of place value through valuable trading practices (Reys et al., 2012, p.

The Virtual Chancellor Simulation is a web site designed to give to anyone the power to control for a moment the keys of the economic growth model of his\her country and try according to them, by changing the suitable parameters, to lead the economy to its own prosperity.

NetLogo NetLogo’s “low-threshold, high-ceiling” design philosophy is inherited from Logo [1]. NetLogo is simple enough that students and teachers can easily design and run simulations, and advanced enough to serve as a powerful tool for researchers in many disciplines. Novices will find an easy-to-learn, intuitive, and well-documented programming language (see Figure 2, across) with an elegant graphical interface. Researchers can take advantage of NetLogo’s advanced features, such as BehaviorSpace that runs automated experiments, 3D visualization, user extensibility, a System Dynamics Modeler that enables mixing agent-based and aggregate representations, and