Start migrating the downloads section

There are a *lot* of download pages, so we'll start with the headers, structure,
and a sort of template we can use for the others.

See #28.

README.md

@@ -11,6 +11,9 @@ The site is built using the [MkDocs](https://www.mkdocs.org/), a static site
 generator that uses Markdown files to generate a website. The theme is
 [Material for MkDocs](https://squidfunk.github.io/mkdocs-material/).
 
+Large files that are not displayed but rather downloaded not be stored here;
+instead, put them in the [website downloads repository](https://github.com/SoarGroup/website-downloads).
+
 ## Setup/Running
 
 ```shell

docs/downloads/agent_development_tools/episodic_memory_size_tool.md

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+---
+tags:
+    - agent debugging
+    - episodic memory
+---
+
+# Episodic Memory Size Tool
+
+This tool is a command-line python script to determine the size of episodes in
+episodic memory.
+
+## Download Link
+
+[Episodic_Memory_Sizer.zip](https://github.com/SoarGroup/website-downloads/raw/main/AgentDevelopmentTools/Episodic_Memory_Sizer.zip)
+
+## Documentation
+
+None
+
+## Developer
+
+Justin Li
+
+## Soar Versions
+
+Any with episodic memory; version must match the one that produced the DB.
+
+## Language
+
+Python

docs/downloads/agent_development_tools/index.md

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+---
+title: agent development tools
+---
+
+# Downloads: Agent Development Tools
+
+In this category you'll find tools to help you develop your Soar agents.
+This includes IDEs for developing Soar agents, a variety of both real-time and
+offline debugging tools and some syntax coloring add-ons for certain text
+editors.
+
+*   [Episodic Memory Size Tool](./episodic_memory_size_tool.md)

docs/downloads/agents/15-puzzle.md

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+---
+tags:
+    - chunking
+    - look-ahead search
+---
+
+# 15-Puzzle Agent
+
+This agent is a straightforward implementation of the fifteen-puzzle. It uses
+look-ahead search to solve the puzzle with a simple evaluation function. This
+agent also demonstrates chunking.
+
+The puzzle consists of fifteen sliding tiles, numbered by digits from 1 to 15
+arranged in a 4 by 4 array of sixteen cells. One of the cells is always empty,
+and any adjacent tile can be moved into the empty cell. The initial state is
+some arbitrary arrangement of the tiles. The goal state is the arrangement of
+tiles such that they are ordered from lowest to highest value. The problem is to
+find a sequence of moves from the initial state to the goal state.
+
+## Soar Capabilities
+
+-   Look-ahead subgoaling
+-   Chunking
+
+## Download Links
+
+-   [Fifteen_Puzzle_Agent.zip](https://github.com/SoarGroup/website-downloads/raw/main/Agents/Fifteen_Puzzle_Agent.zip)
+
+## External Environment
+
+None.
+
+## Default Rules
+
+selection.soar
+
+## Associated Publications
+
+None
+
+## Developer
+
+John Laird
+
+## Soar Versions
+
+-   Soar 8
+-   Soar 9
+
+## Project Type
+
+VisualSoar

docs/downloads/agents/index.md

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+---
+title: agents
+---
+
+# Downloads: Agents
+
+In this category, you'll find a variety of agents developed for a wide range of
+different tasks and environments. You will find a full description of the agent,
+its capabilities and problem solving approach as well, as a download link. If
+the agent requires an environment, a link will be provided. We'd highly
+encourage you to submit your own agents for use by the greater Soar community.
+To do so, you can send your zipped up submission with a full description (try to
+include all of the type of information we include on each download page) to
+[John Laird](mailto:laird@umich.edu) with the subject "Soar Agent Submission".
+
+*   [15-Puzzle Agent](./15-puzzle.md)

docs/downloads/domains/dice.md

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+---
+Tags: 
+    - environments
+    - liar's dice
+    - reinforcement learning
+---
+
+# Dice
+
+Dice is a java implementation of a game often called *Liar's Dice*.
+
+Here is an abbreviated description of the rules used in our implementation of
+this domain:
+
+*   Each player gets five six-sided dice and a cup to conceal their dice from
+other players.
+*   To begin each round, all players roll their dice under their cups and look
+at their new 'hand' while keeping it concealed from the other players. The first
+player begins bidding, picking a quantity of a face number. The quantity states
+the player's opinion on how many of the chosen face have been rolled in total on
+the table.
+*   Each player has two choices during his turn: make a higher bid, or challenge
+the previous bid as being wrong. Raising the bid means either increasing the
+quantity, or the face value, or both, according to the specific bidding rules used.
+*   The 1s ("aces") are wild and count as two in a bid, for example to outbid a
+bid of 2 one's, you must bid at least 5 of a non-wild face.
+*   If the current player thinks the previous player's bid is wrong, he
+challenges it, and then all dice are revealed to determine whether the bid was
+valid. If the number of the relevant face revealed is at least as high as the
+bid, then the bid is valid, in which case the bidder wins. Otherwise, the
+challenger wins.
+
+\* Description of game rules derived from its [Wikipedia page](
+https://en.wikipedia.org/wiki/Liar%27s_dice)
+and is released under the [Creative Commons license](http://creativecommons.org/licenses/by-sa/3.0/).
+
+## Environment Properties
+
+*   Uncertainty
+*   incomplete knowledge
+*   multi-player
+
+## Download Links
+
+[Dice.zip](https://github.com/SoarGroup/website-downloads/raw/main/Domains/Dice.zip)
+
+## Associated Agents
+
+A variety of agents is included in the environment download.
+
+## Documentation
+
+*   Requires these jars on the classpath:
+    *   sml.jar
+    *   soar-qna-9.3.1.jar
+    *   soar-smljava-9.3.1.jar
+
+*   Also needs the environment variables `SOAR_HOME` set and `LD_LIBRARY_PATH` on
+Linux (`DYLD_LIBRARY_PATH` on OSX, `PATH` on Windows) set to `$SOAR_HOME/lib`.
+
+*   To import into Eclipse, go to File > New > Java Project, un-check "Use Default
+Location" and under "Location" select the root directory of the project. All
+other default settings should be fine.
+
+*   To run, right-click on the SoarMatch?.java file and select Run As > Java Application.
+
+### IO link Specification
+
+#### Code
+
+```plaintext
+input-link
+        dice-probability
+                id (any) copied from request
+                probability (float) (0..1)
+
+output-link
+        compute-dice-probability
+                id (any) user-data to be copied to input-link to correlate result
+                number-of-dice (int) (1..)
+                number-of-faces (int) (1..) usually 3 (normal, ones wild) or 6 (ones or special rules)
+                count (int) (1..number-of-dice) Target number
+                predicate (string) (eq ne ge gt le lt)
+
+Predicate shorthand:
+        eq: equal ==
+        ne: not equal !=
+        ge: greater than or equal >=
+        gt: greater than >
+        le: less than or equal <=
+        lt: less than <
+```
+
+#### Examples
+
+```text
+id: 1, number-of-dice: 3, number-of-faces: 6, count: 2, predicate: eq
+yields: id: 1, probability: 0.06944
+
+id: 2.0, number-of-dice: 5, number-of-faces: 3, count: 3, predicate: ge
+yields: id: 2.0, probability: 0.20988
+
+id: charlie, number-of-dice: 24, number-of-faces: 6, count: 6, predicate lt
+yields: id: charlie, probability: 0.80047
+
+Quick test using add-wme on empty agent:
+aw i3 compute-dice-probability *
+aw i4 id 1
+aw i4 number-of-dice 5
+aw i4 number-of-faces 3
+aw i4 count 3
+aw i4 predicate ge
+```
+
+## Associated Publications
+
+Pending
+
+## Developer
+
+Miller Tinkerhess
+
+## Soar Versions
+
+Soar 9
+
+## Language
+
+Java

docs/downloads/domains/index.md

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+---
+title: domains
+---
+
+# Downloads: Domains
+
+This category contains an extensive list of domains you can develop agents in.
+Some are game-like environment simulators while other provide access to an
+external knowledge source for your agent to process and manipulate, for example
+WordNet or SoarQnA. All of these domains are fully interfaced with Soar already.
+
+*   [Dice](./dice.md)

docs/downloads/examples_and_unsupported/cpp_command_line_filter_example.md

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+---
+tags:
+    - C++
+---
+
+# C++ Command Line Filter Example: FilterC
+
+FilterC demonstrates how to write a client in C++ that intercepts commands to
+implement a simple command line.
+
+## Download Links
+
+[Soar_Filter_C_Example.zip](https://github.com/SoarGroup/website-downloads/raw/main/Examples-and-Unsupported/Soar_Filter_C_Example.zip)
+
+## Documentation
+
+While there is no explicit documentation, this example code is commented.
+
+## Developer
+
+Douglas Pearson
+
+## Soar Versions
+
+*   Soar 8
+*   Soar 9
+
+## Language
+
+C++

docs/downloads/examples_and_unsupported/index.md

@@ -0,0 +1,7 @@
+# Downloads: Examples and Unsupported
+
+This category contains example code and wrapper functions to help you build your
+own environments in a variety of language, namely C++, PHP, Python, Java and C.
+This code is unsupported but may still work.
+
+*   [C++ Command Line Filter Example](./cpp_command_line_filter_example.md)