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Mar 21, 2025
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paper: Remove experimental note and add missing space #2730

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paper: Remove note that space module is experimental
EwoutH Mar 19, 2025
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paper: Add missing space
EwoutH Mar 19, 2025
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7 changes: 1 addition & 6 deletions paper/paper.md
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Expand Up @@ -84,7 +84,7 @@ The framework is particularly suited for:
# Core capabilities
Mesa is a Python-based framework for ABM that provides a comprehensive set of tools for creating, running, and analyzing ABMs. Mesa integrates with the wider scientific Python ecosystem with libraries such as [NumPy](https://numpy.org/), [pandas](https://pandas.pydata.org/), [Matplotlib](https://matplotlib.org/), [NetworkX](https://networkx.org/), and more. The backend of the framework is written in Python, while the front-end end uses a Python implementation of React. The modular architecture is comprised of three main components:

1. Core ABM components (*i.e.,* agents, spaces, agent activation, control over random numbers)to build models
1. Core ABM components (*i.e.,* agents, spaces, agent activation, control over random numbers) to build models
2. Data collection and support for model experimentation
3. Visualization systems

Expand Down Expand Up @@ -168,11 +168,6 @@ For models where agents need to move continuously through space rather than betw
space = ContinuousSpace(x_max, y_max, torus=True)
space.move_agent(agent, (new_x, new_y))
```
The space module is stable but under active development. The new cell-based spaces in Mesa 3 are currently being tested and considered feature-complete. The code snippets reflected in this paper are the future expected state of Mesa. Features not yet merged into core are imported from experimental:

```python
from mesa.experimental.cell_space ...
```

### Time advancement
Mesa supports two primary approaches to advancing time in simulations: incremental-time progression (tick-based) and next-event time progression
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