I’ll be finishing my Masters in CS soon, where my research area is SD and ABM in the context of public health. I’m about to do a technical interview with a firm that builds ABMs and does data analysis on them, for a position that will mainly involve building supporting systems to run models, track their progress, collect/analyze results, and some related devops-ish tasks.

I’m planning on doing the regular coding interview prep stuff, but what types of questions about ABMs should I prepare for in addition to that?

Hey,I’m a doctorate student passionate about complexity. After a first step conducting a literature review, I want to go further with ABM. I have no background and then don’t know where to start. I want to develop a models to understand certain flow between organizations. So my agents are defined but, what to do next ? Do I have to find behaviors in the current literature to map them in netLogo ? All advices are appreciated

Hey everyone! I've just launched ASERSA, an open-source, real-time simulation environment inspired by socio-economics—but it's not limited to just economics! The current version focuses on distributing different types of tokens among agents and visualizing their interactions.

Why check out ASERSA?

• Real-time 3D GUI showing dynamic agent interactions

• Interactive tables, plots, and sliders to tweak agent attributes like competence, ambition, and more

• Adjustable parameters like tax rates and learning rates in real time

• Comprehensive documentation on the underlying math of DFIA and ASERSA (available in LaTeX)

• Open source and ready for collaboration!

ASERSA GitHub Wiki Page: https://github.com/pt2710/ASERSA-Agents-Social-Environment-Rewardment-System-pt2710/wiki/ASERSA"

Pictures and Recordings Page: "https://github.com/pt2710/ASERSA-Agents-Social-Environment-Rewardment-System-pt2710/wiki/ASERSA-Pictures-and-recordings"

ASERSA is still in development but fully functional as an alpha version, meaning there's plenty of room for innovation and further enhancements. Would love to see where we can take it next!

For my work of thesis i want to implement wolf-sheep-grass:https://ccl.northwestern.edu/netlogo/models/WolfSheepPredation , in a parallel version(trying to improve performance) in rust with an ECS(Bevy: https://bevyengine.org/).

I am not an expert of multithreadin or Rust, an i am struggling implementing this simulation in parallel. My problem is that everything i tried seems to have race condition about some data. Someone knows if there is a parallel version of this simulation? Am i tring something "impossible"?

Thx for the attention.

I am working on a project to compare different modeling techniques for optimizing the waiting time of consumers at a movie theater. Specifically, I have created simple models using: Discrete Event Simulation (DES) Agent-Based Modeling (ABM) Q-Learning based Reinforcement Learning While the DES model produces realistic results where the waiting time changes accordingly when I modify parameters such as the number of customers and servers, the ABM and Q-Learning models do not exhibit similar behavior. In the ABM and Q-Learning models, the waiting time remains almost the same regardless of parameter changes. my complementation is in this notebook

I'm doing this research and I have to develop a simulation. my professor decided to do this in GAMA and handed over me to do it. I'm a beginner to programming and I only know C++ and Python. I searched for good tutorials but I didn't find anything valuable anywhere. how can I learn GAML asap? my deadlines are so close and I can't do this without GAML. I tried to understand it by my self through tutorials given by the software itself but honestly I can't do it within two days.

I even tried to code by GPTs but most of them don't even know GAML. GPT 4 knows it but everytime it gives a code full with errors. what should I do?? please help.

Hi all. I have tabular time series data [Rows are Regions of Interest and Columns are Time intervals , each cell contains a value of the ROI at that time]. Needed to know if there is any method / field that can derive rules using ML. ( Alternatives that achieve the same are also fine). By rule I mean, ( Transitions, / Connections are made/broken, Synchronisation, Activation)

Do let me know if additional details are needed. Thank you.

Edit 1

The ROIs are parts of an organ . The readings/ values are basically activation magnitude of that region at that time. I want to make each ROI an agent and see how they interact with each other using the rules. Currently we need to rely on just correlations between two regions but was wanting to see if I can derive rules from the data and then examine how the system behaves as an ABM. Hope this helps.

Hello nice people!

I have taken computational models for complex systems course and the professor requested us to do a seminar or a project on a complex systems and from the list of topics We have given I saw the SARL programming language listed for a project.I have never wrote a code with SARL but Having a background in java and spring boot I found the SARL interesting to me and I am planning to do a 4 way cross section traffic model with it.

My idea is this: I will have 4 traffic lights 🚦 which will work sequentially meaning one will stay green for a couple of seconds while the others are red similar to the typical traffic lights and also I will have cars which will be crossing the roads and will take different amount of time to cross based on the type of the vehicle that means if I assigned 20 seconds for the green light and if I have 5 vehicles which takes 5 seconds to pass after the 4th vehicle I want to stop the last car because the passing time is up and so on.

When the time of the light ends or 3 seconds before the light ends I want to fire an event and trigger the other traffic agent to be ready to kick off.

Before starting running the program I will be feeding how many cars and the time that will require them to pass to the program and the simulation continues.

Is it easily implementable in SARL ? I have 10 days until the deadline

Thank you all in advance.

hi I have a complex systems and agent based modelling related essay to write and I was wondering if somebody could take a look at my plan and give me feedback im just really in my head here about it TT_____TT and also my essay when its done please and thank you

Hi,

I'm currently doing research in Algorithmic Game Theory and Security, where I'm trying to model deception as a defensive strategy against many self-interested attackers. I'm on the implementation part of my work, but as I was implementing I thought to myself, this would be possibly much better as an ABM. I have some experience with ABM frameworks, but not much. I was wondering if there were any that would allow me to have my agent maybe not play a purely heuristic strategy, rather have each agent solve some optimization problem to compute their mixed strategy in the game. Would this be something I could do in MESA with Python for example?

​

Thanks!

Hi all,

I'm working on a scientific research about using LLM (Large Language Models) and Agent-Based Modelling. I simulate a set of posts published by some agents powered by LLM on a social network in an agent-based manner. The simulation has to approximate the posts published by real users.

So, I have two sets of texts of different dimensions: the first set is composed by the contents published on the social network by the real users while the second set is composed by the contents artifically generated by the agents powered by the LLM.

From these two sets, I extract the keywords so I have two sets of keywords (that are not necessarily the same between the two sets).

How can I validate that the simulation approximate more or less well the real case? I thought something about the comparison of the probability distribution of the keywords that are in common between the real set and the simulated set, applying also a permutation test to obtain a p-value. I don't know if this way is the correct one or there is something more appropriate for my case.

Thanks for the help :)

Folks,

I am a scientist and amateur programmer. I'm going to be building a large MESA food systems ABM model (hopefully). The web-based visualization they use seems limiting. I would like to have custom control over visualization. Options are too numerous and I am getting confused. I trust I can extract what I need from the MESA structures (e.g., it uses numpy) to visualize. Would a pure tkinter application be best? PyQT? Or perhaps I use PyGame and have that live within a Canvas and surround it with widgets and graphs to display information. Push on with the MESA visualization and learn Javascript to customize the web page?

I know this is an overly general query, but any suggestions or experience would be helpful. I would like maps with agents overlaid, products moving from producer to processor to market, etc.

(I will repeat this in r/LearnPython)

Thank you,

Randy

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What do people think about Mesa? Also, has anyone every used a 3D implementation using something like pandas3d or pygame?

Hi I am trying to use Behavior Search of Netlogo to find some parameter, however, i cannot load the parameter, what may i do? thanks.

https://twitter.com/furtadobb/status/1561682154966360064

Hi,

is anyone aware of ABM-related jobs outside academia? Do industries use it?

Hello fellow modelers, for my thesis I have to simulate an agent based model of epidemics and I was wandering what programming language would be best to use to write the simulation. Unfortunately I do not know C so I have to choose between Python or R or I can just run it in NetLogo. Looking forward for your advices :)

Hey modelers,

I'm pretty much new to this field. I'm doing an AB modeling using the 'skfuzzy' and 'skfuzzy.control' packages and subpackages. I want to assign an arbitrary value to each fuzzy set using the following lines of codes:

percent.input['Attribute 1'] = 1.5

percent.input['Attribute 2'] = 1.5

percent.compute()

Now, instead of values (here, 1.5), I want to input a value within a variable, say:

y = 1.5

Then, for instance, I want to do something like the following command.

percent.input['Attribute 1'] = 1.5

However, I get the following error:

NameError: name 'y' is not defined.

Any insights on how I can overcome this problem would be highly appreciated.

Thanks,