SimEvents toolbox for Biology Cell Behavior

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MOHAMED
MOHAMED 2018 年 3 月 2 日
回答済み: Shreshth 2024 年 12 月 10 日
Hi,
I want to use Agent Based Modeling (ABM) for predicting the behavior of different types of cells within a tissue.
I have multiple agents/rules, e.g. new cell production, cell removal, cell binding, and cell unbinding. Each of these rules is defined by specific rates and times.
For simplicity, I will assume I have a 2D rectangular domain and define few cells within this domain. Then according to ABM rules, the behavior for a certain period of time should be predicted.
I have not used SimEvents toolbox before and I have little experience with ABM in general. I am wondering if anyone has experience or can provide general guidance to implement this?
Also would you suggest other way than SimEvents toolbox to do this?
Thanks

回答 (1 件)

Shreshth
Shreshth 2024 年 12 月 10 日
Hi Mohamed,
SimEvents provides a discrete-event simulation engine and component library for analyzing event-driven system models and optimizing performance characteristics such as latency, throughput, and packet loss. Queues, servers, switches, and other predefined blocks enable you to model routing, processing delays, and prioritization for scheduling and communication.
With SimEvents, you can study the effects of task timing and resource usage on the performance of distributed control systems, software and hardware architectures, and communication networks. You can also conduct operational research for decisions related to forecasting, capacity planning, and supply-chain management.
Here is the link to the MathWorks documentation which has tutorials as to how you can use SimEvents and its functionalities.
Thanks.

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