From 321b63b853e75cbf24dd866de277e63ddc500cdd Mon Sep 17 00:00:00 2001 From: Elton Cardoso do Nascimento <43186596+EltonCN@users.noreply.github.com> Date: Fri, 18 Oct 2024 16:30:58 -0300 Subject: [PATCH] Example: Implementing a Architecture --- examples/Implementing a Architecture.ipynb | 513 ++++++++++++++++++ .../.$diagram.drawio.bkp | 10 + .../Implementing a Architecture/Codelet.png | Bin 0 -> 10321 bytes .../MemoryGroup.png | Bin 0 -> 55033 bytes .../MemoryObject.png | Bin 0 -> 12687 bytes .../SimpleDiagram.png | Bin 0 -> 32581 bytes .../diagram.drawio | 213 ++++++++ .../Implementing a Architecture/diagram.png | Bin 0 -> 198751 bytes .../test_implementing_a_architecture.py | 37 ++ 9 files changed, 773 insertions(+) create mode 100644 examples/Implementing a Architecture.ipynb create mode 100644 examples/Implementing a Architecture/.$diagram.drawio.bkp create mode 100644 examples/Implementing a Architecture/Codelet.png create mode 100644 examples/Implementing a Architecture/MemoryGroup.png create mode 100644 examples/Implementing a Architecture/MemoryObject.png create mode 100644 examples/Implementing a Architecture/SimpleDiagram.png create mode 100644 examples/Implementing a Architecture/diagram.drawio create mode 100644 examples/Implementing a Architecture/diagram.png create mode 100644 tests/examples/test_implementing_a_architecture.py diff --git a/examples/Implementing a Architecture.ipynb b/examples/Implementing a Architecture.ipynb new file mode 100644 index 0000000..6767f18 --- /dev/null +++ b/examples/Implementing a Architecture.ipynb @@ -0,0 +1,513 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Implementing a Architecture\n", + "\n", + "A cognitive architecture in the CST is implemented using a combination of Codelets and Memories inside a Mind. Each Codelet will communicate with the others using only the Memories." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Diagrams\n", + "\n", + "Before implementing the code, it is common to prepare a diagram describing all the elements of the architecture.\n", + "\n", + "For that, it is defined a visual language:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The **Codelet** symbol:\n", + "\n", + "![](./Implementing%20a%20Architecture/Codelet.png)\n", + "\n", + "The string inside the symbol is the Codelet name. The left ports are its inputs, the _local input (LI)_ and the _global input (GI)_, and the right ports its outputs, the _standard output (O)_ and the _activation level (A)_. The LI and A ports will be discussed in later examples." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The Memory Object symbol:\n", + "\n", + "![](./Implementing%20a%20Architecture/MemoryObject.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So, if we have a Codelet \"My Codelet\", that reads from \"Input Memory\" and writes to \"Output Memory\", the diagram is going to be:\n", + "\n", + "![](./Implementing%20a%20Architecture/SimpleDiagram.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Its also possible to group memories in a _Memory Group_:\n", + "\n", + "![](./Implementing%20a%20Architecture/MemoryGroup.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For creating a diagram, a [draw.io](https://www.drawio.com/) shape library is provided: [shape library](https://github.com/H-IAAC/CST-Python/blob/2065cb3f29931867de37ec39b40839d82c1331fc/resources/CST-Library.xml)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Example architecture" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Our example architecture is going to solve a simple quadratic equation in the form $ax^2+bx+c=0$.\n", + "\n", + "For that, the equation parameters $a$, $b$ and $c$ will be stored in Memory Objects, two \"SolveEquation\" will solve the equation computing the two different solutions, and a final \"JoinResults\" codelet will join each result to a final memory:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![](./Implementing%20a%20Architecture/diagram.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For that, we start importing the necessary modules:" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "import math # Math operations\n", + "import time # Sleep\n", + "\n", + "import cst_python as cst # CST-Python module" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And we can implement the `SolveEquationCodelet` using the quadratic formula. Note that the codelet can receive two parameters: if should compute the second solution (`negative`), and the output memory name `output_name`:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "class SolveEquationCodelet(cst.Codelet):\n", + "\n", + " def __init__(self, negative:bool=False, output_name:str=\"x\"):\n", + " super().__init__()\n", + "\n", + " self._negative = negative\n", + " self._output_name = output_name\n", + "\n", + " self._a_mo : None | cst.MemoryObject = None\n", + " self._b_mo : None | cst.MemoryObject = None\n", + " self._c_mo : None | cst.MemoryObject = None\n", + " self._x_mo : None | cst.MemoryObject = None\n", + "\n", + " def access_memory_objects(self):\n", + " self._a_mo = self.get_input(name=\"a\")\n", + " self._b_mo = self.get_input(name=\"b\")\n", + " self._c_mo = self.get_input(name=\"c\")\n", + "\n", + " self._x_mo = self.get_output(name=self._output_name)\n", + "\n", + " def calculate_activation(self):\n", + " pass\n", + "\n", + " def proc(self):\n", + " a = self._a_mo.get_info()\n", + " b = self._b_mo.get_info()\n", + " c = self._c_mo.get_info()\n", + "\n", + " delta = math.pow(b, 2) - (4*a*c)\n", + " delta_sqrt = math.sqrt(delta)\n", + "\n", + " if self._negative:\n", + " delta_sqrt *= -1\n", + " \n", + " if a == 0:\n", + " if b == 0:\n", + " x = float(\"nan\")\n", + " else:\n", + " x = -c/b\n", + " else: \n", + " x = (-b + delta_sqrt)/(2*a)\n", + "\n", + " self._x_mo.set_info(x)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `JoinResultsCodelet` is going to get all its inputs and send to a unified result:" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "class JoinResultsCodelet(cst.Codelet):\n", + " def __init__(self):\n", + " super().__init__()\n", + " self._result_mo : None | cst.MemoryObject = None\n", + "\n", + " def access_memory_objects(self):\n", + " self._result_mo = self.get_output(name=\"result\")\n", + "\n", + " def calculate_activation(self):\n", + " pass\n", + "\n", + " def proc(self):\n", + " result = []\n", + "\n", + " for input_mo in self.inputs:\n", + " result.append(input_mo.get_info())\n", + "\n", + " self._result_mo.set_info(result)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we have all the codelets defined, we can start creating the agent mind:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "mind = cst.Mind()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Starting with the memories, observe that the Memory Groups defined in the diagram is created using a `mind.create_memory_group`, and each memory is assigned to the group using `register_memory`, and that each memory starting info is defined (instead of `None`) to avoid exceptions inside the codelets:" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "# Input\n", + "\n", + "mind.create_memory_group(\"Input\")\n", + "\n", + "a_mo = mind.create_memory_object(\"a\", 0)\n", + "b_mo = mind.create_memory_object(\"b\", 0)\n", + "c_mo = mind.create_memory_object(\"c\", 0)\n", + "\n", + "mind.register_memory(a_mo, \"Input\")\n", + "mind.register_memory(b_mo, \"Input\")\n", + "mind.register_memory(c_mo, \"Input\")\n", + "\n", + "# Working Memory\n", + "\n", + "mind.create_memory_group(\"Working Memory\")\n", + "\n", + "x1_mo = mind.create_memory_object(\"x1\", 0)\n", + "x2_mo = mind.create_memory_object(\"x2\", 0)\n", + "\n", + "mind.register_memory(x1_mo, \"Working Memory\")\n", + "mind.register_memory(x2_mo, \"Working Memory\")\n", + "\n", + "# Output\n", + "\n", + "mind.create_memory_group(\"Output\")\n", + "\n", + "result_mo = mind.create_memory_object(\"result\")\n", + "\n", + "mind.register_memory(result_mo, \"Output\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We than create the SolveEquationCodelets:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "solve_equation1 = SolveEquationCodelet(output_name=\"x1\")\n", + "solve_equation2 = SolveEquationCodelet(output_name=\"x2\", negative=True)\n", + "\n", + "solve_equation1.add_inputs([a_mo, b_mo, c_mo])\n", + "solve_equation2.add_inputs([a_mo, b_mo, c_mo])\n", + "\n", + "solve_equation1.add_output(x1_mo)\n", + "solve_equation2.add_output(x2_mo)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And the JoinResultsCodelet:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "join_results = JoinResultsCodelet()\n", + "\n", + "join_results.add_inputs([x1_mo, x2_mo])\n", + "join_results.add_output(result_mo)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we can add the codelets to the mind and start it. Before that, we change the time step of each codelet to 10 ms:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "solve_equation1.time_step = 10\n", + "solve_equation2.time_step = 10\n", + "join_results.time_step = 10\n", + "\n", + "mind.insert_codelet(solve_equation1)\n", + "mind.insert_codelet(solve_equation2)\n", + "mind.insert_codelet(join_results)\n", + "\n", + "mind.start()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can check the initial result for the equation $0x^2+0x+c = 0$, that is unsovable equation: " + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "tags": [ + "equation1" + ] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[nan, nan]" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result_mo.get_info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can than change the input values to solve different equations:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "$1x^2 = 0$" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "tags": [ + "equation2" + ] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[0.0, 0.0]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a_mo.set_info(1)\n", + "\n", + "time.sleep(0.020)\n", + "\n", + "result_mo.get_info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "$-4x^2+8x+0=0$" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "tags": [ + "equation3" + ] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[-0.0, 2.0]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a_mo.set_info(-4)\n", + "b_mo.set_info(8)\n", + "c_mo.set_info(0)\n", + "\n", + "time.sleep(0.020)\n", + "\n", + "result_mo.get_info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "$5x^2-6x+9=0$" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "tags": [ + "equation4" + ] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[3.0, 3.0]" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "a_mo.set_info(1)\n", + "b_mo.set_info(-6)\n", + "c_mo.set_info(9)\n", + "\n", + "time.sleep(0.020)\n", + "\n", + "result_mo.get_info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the end, we stop the agent mind:" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "mind.shutdown()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": 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