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Fix small mistake in documentation
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docs/application-flow.rst

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@@ -455,8 +455,8 @@ The following graph summarises the process.
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First the demand is distributed among the available agents as requested by the ``demand_share`` argument of each ``subsector`` in the ``settings.toml`` file. This distribution can be done based on any attribute or property of the agents, as included in the ``Agents.csv`` file. Demand can also be shared across multiple agents, depending on the "quantity" attribute (defined in ``Agents.csv``). The two built-in options in MUSE are:
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- `new_and_retro` (`default`): The input demand is split amongst both *new* and *retro* agents. *New* agents get a share of the increase in demand for the forecast year, whereas *retrofit* agents are assigned a share of the demand that occurs from decommissioned assets.
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- `standard_demand`: The demand is split only amongst *new* agents (indeed there will be an error if a *retro* agent is found for this subsector). *New* agents get a share of the increase in demand for the forecast years well as the demand that occurs from decommissioned assets.
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- `standard_demand` (default): The demand is split only amongst *new* agents (indeed there will be an error if a *retro* agent is found for this subsector). *New* agents get a share of the increase in demand for the forecast years well as the demand that occurs from decommissioned assets.
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- `new_and_retro`: The input demand is split amongst both *new* and *retro* agents. *New* agents get a share of the increase in demand for the forecast year, whereas *retrofit* agents are assigned a share of the demand that occurs from decommissioned assets.
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Then, each agent select the technologies it can invest in based on what is needed and the **search rules** defined for it in the ``Agents.csv`` file. The possible search rules are described in :py:mod:`muse.filters`. These determine the search rules for each replacement technology.
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