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COBWEB 2 2.2019-01-14 / 2.2019-06-03 Pre-release
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If you are working in the behavioral sciences field, you are surely familiar with simulations that try to analyze how certain components might react and adapt to environmental changes.
In the situation above, you can turn to specialized third-party applications that can help you simplify your work by providing you with relevant functions. One of these applications is COBWEB 2.
Since it is portable, you don't need to install this program on your computer, as simply unpacking the archive it comes in and launching the executable grants you full access to its functions.
More so, you can run it from removable storage media such as external HDDs or USB flash drives. It does not tamper with any of your Windows registry entries nor does it generate additional files or folders on your computer without your explicit permission. It is worth noting that it requires Java Runtime Environment on your PC to run as intended.
This application can help you create a simulation that includes a system of components, study their behavior to environmental changes and also how efficiently they can adapt.
COBWEB stands for Complexity and Organized Behaviour Within Environmental Bounds and consists of two components: one is the population of agents that move, eat and reproduce, while the other are the consumed resources. These resources vary in location.
The simulation helps you observe the agents as they decide where and when to move, as well as eat. Based on their communication, some populations might thrive in certain environments and fail in others.
COBWEB 2 lets you understand that every population is subjected to unexpected events such as sudden extinction after a prolonged stability period or a recovery from a potential extinction situation. This type of situations can be expected in all populations and it plays a great role in this application, as it might help you understand the concept.
All things considered, COBWEB 2 is a handy application that can help you create a simulation to observe a population's adaptability to certain environment changes. It is portable, requires Java Runtime Environment and packs a simple interface.
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