#Anylogic software for doctors simulator

Its programming language includes many high-level structures and primitives that reduce programming efforts. NetLogo includes its own programming language that is simpler to use than is Java or Objective-C, an animation display automatically linked to the program, and optional graphical controls and charts. (71) Although the primary purpose of NetLogo has been to provide a high-level platform that allows one to build and learn from simple agent-based models, it now contains many sophisticated capabilities (behaviors, agent lists, and graphical interfaces). It is designed for both research and education and is used across a wide range of disciplines and education levels. Authored by Uri Wilensky (71) in 1999, it has been in continuous development ever since at the Center for Connected Learning and Computer-Based Modeling. NetLogo is a multiagent programming language and modeling environment for simulating natural and social phenomena. Most of the reviews come from Allan, (65) Lytinen andГ‚ Railsback, (66) and Railsback et al. In the following subsections, the authors briefly summarize the characteristics of the six ABMS toolkits individually. Social complexity, physical modeling, AI/machine learning (Sources:Macal & North (70) and Railsback et al. In terms of animation capabilities, the most updated versions of MASON, AnyLogic, and NetLogo offer both geographic information system and three-dimensional (3D) capabilities. The characteristics of the six toolkits are summarized in table 2 and use the results from both reviews mentioned previously. (68) reviewed six ABMS platforms: NetLogo, MASON, Swarm, Repast, Ascape, and AnyLogic. Although AnyLogic, Repast, Swarm, and MASON can be applicable to large-scale agent development environments, NetLogo was designed to fit the agent-based prototyping environment that runs on desktops. In addition, offering a different review, Macal and North (70) distinguished ABMS toolkits based on their simulation scalability. The NetLogo family belongs to this category. The second category consists of approaches designed to provide a high-level platform that allows people to build and learn from simple agent-based models.

A Java application programming interface (API) is provided to guide the use of state charts, variables, functions, and other miscellaneous tools. For example, in AnyLogic, a model is constructed with one or more active object classes. A library of software that implements the framework is also available as a simulation tool. These tools in general provide a framework, which is a set of standard concepts for designing and describing ABMS models.

#Anylogic software for doctors simulator

The first category follows the framework and library approach, which includes most of the commonly used ABMS toolkits, such as AnyLogic, Repast, Swarm, and Multiagent Simulator of Neighborhoods (MASON).

(68) classified ABMS platforms into two categories.

They allow programmers to reuse classes (definition of objects) created by libraries or other programmers.

They offer run-time testing and debugging environments.

They incorporate some features of visual programming, which saves much time and makes development easier, more attractive, and enjoyable.

They provide a certain level of abstraction in which programmers can develop their objects.

Serenko and Detlor (69) provided a good summary on why agent-based toolkits are needed in general: According to review articles, an agent toolkit could be defined as a software package, application, or development environment that provides modules with a sufficient level of abstraction to allow them to implement agents with desired attributes, features, and rules. There is no universal definition of an agent toolkit. (65-69) These toolkits are in general integrated tool suites, designed to simplify the construction of agent-based models and the development of agent applications. Each software toolkit has a variety of characteristics, and many efforts have been attempted to review and compare these toolkits.

Recently, an increasing number of modeling toolkits have become available to facilitate agent-based modeling and applications. The Exploratory Advanced Research ProgramДЄ Primer for Agent-Based Simulation and Modeling in Transportation Applications