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fix lints
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.markdownlint.json

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"ol_multi": 2,
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"ol_single": 2
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},
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"MD024": {
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"siblings_only": true
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},
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"MD013": {
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"tables": false,
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"code_blocks": false

docs/reference/cli/cmd_debug.md

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# debug
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Contains commands that provide access to Soar's internals. Most users will not need to access these commands.
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Contains commands that provide access to Soar's internals. Most users will not
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need to access these commands.
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## Synopsis
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docs/reference/cli/cmd_decide.md

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# decide
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Commands and settings related to the selection of operators during the Soar decision process
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Commands and settings related to the selection of operators during the Soar
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decision process
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## Synopsis
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docs/reference/cli/cmd_load.md

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A list of excised productions is available using the `-v` flag:
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```
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```bash
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agent> source demos/mac/mac.soar -v
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#*#*#*#*#*#*#*#*#*#*#*#*#*#*#*#*#*#*
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Total: 18 productions sourced. 18 productions excised.

docs/reference/cli/cmd_production.md

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| **Option** | **Description** |
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| :--------------------- | :--------------------------------------------------------------------------------------------- |
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| `n` | List the top `n` productions. If `n` is 0, only the productions which haven't fired are listed |
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| `production_name ` | Print how many times a specific production has fired |
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| `production_name` | Print how many times a specific production has fired |
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| `-f, --fired` | Prints only rules that have fired |
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| `-c, --chunks` | Print how many times chunks (learned rules) fired |
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| `-j, --justifications` | Print how many times justifications fired |

docs/reference/cli/cmd_rl.md

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This is an experimental feature of Soar RL. It based on the work in Richard S.
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Sutton's paper "Adapting Bias by Gradient Descent: An Incremental Version of
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Delta-Bar-Delta", available online at
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http://incompleteideas.net/papers/sutton-92a.pdf.
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<http://incompleteideas.net/papers/sutton-92a.pdf>.
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Delta Bar Delta (DBD) is implemented in Soar RL as a decay mode. It changes the
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way all the rules in the eligibility trace get their values updated. In order to
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implement this, the agent gets an additional learning parameter
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Here are some sample dot invocations for the top state:
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| **Option** | **Description** |
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| **Option** | **Description** | |
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| :--------------------------- | :----------------------------- | -------------------------------------------- |
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| `dot -Tps rl.dot -o rl.ps` | `ps2pdf rl.ps` | Generate a .ps file and convert it to .pdf. |
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| `dot -Tsvg rl.dot -o rl.svg` | `inkscape -f rl.svg -A rl.pdf` | Generate a .svg file and convert it to .pdf. |

docs/reference/cli/cmd_wm.md

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To get the activation of individual WMEs, use `print -i`.
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To get the reference history of an individual WME, use
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`wm activation -h|--history `<`timetag`>. For example:
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`wm activation -h|--history <timetag>`. For example:
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```bash
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print --internal s1

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