notebooks/Robot.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "local-board",
   "metadata": {},
   "source": [
    "# Planning Graph Search"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6db4137-2c34-440d-b88a-0d7be4cca5a4",
   "metadata": {},
   "source": [
    "La planificación automatizada implica la creación de una secuencia de acciones para lograr un resultado deseado en un entorno dado. En esta libreta nuestro objetivo es emplear el algoritmo de búsqueda A*, mejorado por una heurística derivada del grafo de planificación, para encontrar planes óptimos para problemas de planificación. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c34a36b-5321-4cfa-b516-1f3f920120c4",
   "metadata": {},
   "source": [
    "<center>\n",
    "<img 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\" alt=\"Texto alternativo\">\n",
    "</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7de3ad82-486e-4ece-ae40-4475b8054e7a",
   "metadata": {},
   "source": [
    "Primero importamos las librerias necesarias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "caring-facial",
   "metadata": {},
   "outputs": [],
   "source": [
    "import copy"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "182caf8b-46cc-4036-8212-f0ffc92bd105",
   "metadata": {},
   "source": [
    "## Representación"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c8d63f9-6b3e-4ac1-9e8a-8311132d6cef",
   "metadata": {},
   "source": [
    "Definiremos la clase **Proposition** para almacenar las literales o estados del problema de planeación. \n",
    "\n",
    "Esta clase consta de 3 argumentos:\n",
    "\n",
    "- Name: El cual nos indica el nombre del estado\n",
    "- Argument: Donde se especifica el argumento del estado, o el objeto al cual está afectando\n",
    "- Negation: Esta es una variable que nos indica si el estado es una negación\n",
    "\n",
    "Además se definen algunos métodos especiales que nos ayudaran para el algoritmo:\n",
    "\n",
    "- \\_\\_hash__ : Este método nos ayuda para poder usar este objeto en sets eg. set(\\[Proposition1, Proposition2 ...\\])\n",
    "- \\_\\_invert__ : Con este método podemos definir la negación de la proposición. Este método se llama con el caracter\"~\".\n",
    "- \\_\\_eq__ : Nos ayuda a establecer igualdades entre proposiciones."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "47154ad9-4ec7-4d98-b77d-a18e141834da",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Proposition:\n",
    "    def __init__(self, name, arg = '', negation = False):\n",
    "        self.name = name\n",
    "        self.argument = arg\n",
    "        self.negation = negation\n",
    "        \n",
    "    def __hash__(self):\n",
    "        return hash((self.name, self.argument, self.negation))\n",
    "    \n",
    "    def __eq__(self, other):\n",
    "        return isinstance(other, Proposition) and self.name == other.name and self.argument == other.argument and self.negation == other.negation\n",
    "    \n",
    "    def __invert__(self):\n",
    "        if self.negation:\n",
    "            return Proposition(self.name, self.argument, False)\n",
    "        else:\n",
    "            return Proposition(self.name, self.argument, True)\n",
    "    \n",
    "    def __str__(self):\n",
    "        if self.negation:\n",
    "            return f'¬{self.name}({self.argument})'\n",
    "        else:\n",
    "            return f'{self.name}({self.argument})'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89ef0cfb-fc29-45ca-a83d-1abada9f6450",
   "metadata": {},
   "source": [
    "Con esto ya podemos generar el estado inicial del problema de la siguiente manera:\n",
    "\n",
    "Iniciamos una lista donde añadiremos las proposiciones definidas a través de la clase correspondiente"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "0788798e-2c7e-42fb-b9e3-c44a96ebbd3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "initial_state = [Proposition('In', 'Robot, R2'), Proposition('In', 'Key, R2'), ~Proposition('Locked', 'Door')]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6365ba7-deba-4e0a-875b-c8f830f869e2",
   "metadata": {},
   "source": [
    "Para visualizarlo podemos llamar el método \\_\\_str__ definido en cada clase, y lo uniremos con el operador lógico ^"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "bbf7d2a7-65ff-4f55-85c1-bacd443e4746",
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_state(state):\n",
    "    return ' ^ '.join([str(x) for x in state])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "e5ba83e0-e201-4690-80e3-7c1a2763abb5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'In(Robot, R2) ^ In(Key, R2) ^ ¬Locked(Door)'"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print_state(initial_state)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2480d41-266b-4b9c-b45f-da78bfd54c2f",
   "metadata": {},
   "source": [
    "Ahora definiremis una clase para almacenar las acciones aplicables a los estados. Esta clase va a tener los siguientes atributos:\n",
    "\n",
    "- Name: Corresponde al nombre de la acción (Describe lo que hace)\n",
    "- Preconditions: Es una lista con las precondiciones \n",
    "- Delete: Son las proposiciones que se borraran al momento de aplicar la acción\n",
    "- Effect: Son las proposiciones que se agregaran al aplicar la acción\n",
    "- Variants: Son las variantes de los efectos, en caso de que se necesiten\n",
    "\n",
    "Esta clase tiene el método \"Apply\" que nos ayuda a poder aplicar la acción a un estado"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "0c8565a7-c829-4632-85e6-d3a75cca36e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Action:\n",
    "    def __init__(self, name, preconditions, delete, effect, variants = []):\n",
    "        self.name = name\n",
    "        self.preconditions = preconditions\n",
    "        self.delete = delete\n",
    "        self.effect = effect\n",
    "        self.variants = variants\n",
    "        \n",
    "    def apply(self, state):\n",
    "        # Hacemos una copia del estado actual\n",
    "        state = copy.deepcopy(state)\n",
    "        \n",
    "        # Si existen variantes de los efectos\n",
    "        if len(self.variants) > 0:\n",
    "            for condition, variant_effect, variant_delete in self.variants:\n",
    "                # Validamos que se cumplan todas las precondiciones en el estado actual\n",
    "                if all(precondition in state for precondition in self.preconditions):\n",
    "                    # Si la condición se cumple\n",
    "                    if condition in state: \n",
    "                        # Aplicamos los efectos alternos\n",
    "                        for element in variant_delete:\n",
    "                            if element in state:\n",
    "                                state.remove(element)\n",
    "                        for element in variant_effect:\n",
    "                            state.append(element)\n",
    "                    else:\n",
    "                        # Aplicamos efectos orginales\n",
    "                        for element in self.delete:\n",
    "                            if element in state:\n",
    "                                state.remove(element)\n",
    "                        for element in self.effect:\n",
    "                            state.append(element)\n",
    "        else:\n",
    "            #Si se cumplen las precondiciones, aplicamos los efectos originales\n",
    "            if all(precondition in state for precondition in self.preconditions):\n",
    "                for element in self.delete:\n",
    "                    if element in state:\n",
    "                        state.remove(element)\n",
    "                for element in self.effect:\n",
    "                    state.append(element)\n",
    "        return list(set(state))\n",
    "    \n",
    "    def __str__(self):\n",
    "        return f'{self.name}'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0cc6ce5-8078-4549-9472-f02533169574",
   "metadata": {},
   "source": [
    "A continuación definimos las acciones del problema:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "657d4f2e-303f-407b-a51e-135b9ee7697c",
   "metadata": {},
   "outputs": [],
   "source": [
    "grasp_key = Action(\n",
    "    'Grasp Key', \n",
    "    [Proposition('In', 'Robot, R2'), Proposition('In', 'Key, R2')],            \n",
    "    [], \n",
    "    [Proposition('Holding', 'Key')],\n",
    ")\n",
    "\n",
    "lock_door = Action(\n",
    "    'Lock Door', \n",
    "    [Proposition('Holding', 'Key'), ~Proposition('Locked', 'Door')],\n",
    "    [~Proposition('Locked', 'Door')],\n",
    "    [Proposition('Locked', 'Door')],\n",
    ")\n",
    "\n",
    "key_into_box = Action(\n",
    "    'Put Key Into Box',\n",
    "    [Proposition('In', 'Robot, R1'), Proposition('In', 'Key, R1'), Proposition('Holding', 'Key')],\n",
    "    [Proposition('Holding', 'Key'),  Proposition('In', 'Key, R1')],\n",
    "    [Proposition('In', 'Key, Box')],\n",
    ")\n",
    "\n",
    "r1_to_r2 = Action(\n",
    "    'Move from R1 to R2',\n",
    "    [~Proposition('Locked', 'Door'), Proposition('In', 'Robot, R1')],\n",
    "    [Proposition('In', 'Robot, R1')],\n",
    "    [Proposition('In', 'Robot, R2')],\n",
    "    [(Proposition('Holding', 'Key'), [Proposition('In', 'Robot, R2'), Proposition('In', 'Key, R2')], [Proposition('In', 'Robot, R1'), Proposition('In', 'Key, R1')])]\n",
    ")\n",
    "\n",
    "r2_to_r1 = Action(\n",
    "    'Move from R2 to R1',\n",
    "    [~Proposition('Locked', 'Door'), Proposition('In', 'Robot, R2')],\n",
    "    [Proposition('In', 'Robot, R2')],\n",
    "    [Proposition('In', 'Robot, R1')],\n",
    "    [(Proposition('Holding', 'Key'), [Proposition('In', 'Robot, R1'), Proposition('In', 'Key, R1')], [Proposition('In', 'Robot, R2'), Proposition('In', 'Key, R2')])]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "669666f3-7997-4400-9f29-cd925e6610a4",
   "metadata": {},
   "source": [
    "Ya que están definidas podemos aplicarlas llamando al método _\"Apply\"_, como se muestra en la siguiente celda:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "dca80105-3d77-4ebf-bb81-17f4bb3cb087",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'In(Key, R2) ^ In(Robot, R2) ^ ¬Locked(Door) ^ Holding(Key)'"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print_state(grasp_key.apply(initial_state))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d8090e1-5bee-4bb3-a5eb-7ff3978cc181",
   "metadata": {},
   "source": [
    "Lo que nos regresa es otro estado de proposiciones que corresponde al estado del mundo después de aplicar la acción"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66c11d58-1e73-4400-8704-7adfbc685174",
   "metadata": {},
   "source": [
    "## Construcción del gráfico"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f208a44-7d81-4fdf-9371-a2f1a3f82a5d",
   "metadata": {},
   "source": [
    "Otra función muy importante en el algoritmo, es la función para construir la gráfica de planeación. Para esto usaremos un esquema relajado, donde no nos preocuparemos por acciones mutuamente excluyentos. Esto porque la función se usará varías veces para el cálculo de la herística, por lo tanto haría el algoritmo muy lento si se consideran estos escenarios."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "e2053575-f37c-4a70-8ac1-b36f850f4f16",
   "metadata": {},
   "outputs": [],
   "source": [
    "def build_plan_graph(state, goal, actions):   \n",
    "    # Iniciamos con el estado inicial en el nivel 0\n",
    "    graph_levels = [state]\n",
    "    \n",
    "    i = 0\n",
    "    while(True):\n",
    "        # Definimos una lista para el nuevo estado con las proposiciones del estado anterior (representa acciones sin efecto)\n",
    "        new_level = [*graph_levels[i]]\n",
    "        \n",
    "        # Aplicamos todas las acciones al estado actual y agregamos las nuevas proposiciones\n",
    "        for action in actions:\n",
    "            new_literals = action.apply(graph_levels[i])\n",
    "            for lit in new_literals:\n",
    "                new_level.append(lit)\n",
    "                \n",
    "        # Agregamos el nuevo nivel a la gráfica de planeación\n",
    "        graph_levels.append(list(set(new_level)))\n",
    "        \n",
    "        # Si todos los elementos del estado objetivo están en el nuevo nivel recién creado, nos detenemos y regresamos el gráfico de planeación\n",
    "        if all(elem in new_level for elem in goal):\n",
    "            break\n",
    "        \n",
    "        # Si el tamaño de la lista no aumentó en los últimos niveles, regresamos una lista vacía (No hay solución)\n",
    "        if len(list(set(new_level))) == len(graph_levels[i]):\n",
    "            return []\n",
    "            break\n",
    "        \n",
    "        i += 1\n",
    "    \n",
    "            \n",
    "    return graph_levels\n",
    "        \n",
    "        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ada064ab-e3f7-4a51-91cf-4c998e472255",
   "metadata": {},
   "source": [
    "Para usar la función tendremos que definir un nodo objetivo, y una lista de acciones."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "e4528fb0-8fe0-43d2-a10e-6045f7343ea4",
   "metadata": {},
   "outputs": [],
   "source": [
    "goal = [Proposition('Locked', 'Door'), Proposition('In', 'Key, Box')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "2d618c4e-03b1-41b0-baef-9903efb4ee7a",
   "metadata": {},
   "outputs": [],
   "source": [
    "plan_graph_levels = build_plan_graph(initial_state, goal, [grasp_key, lock_door, key_into_box, r1_to_r2, r2_to_r1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d0e9bfa-538f-460b-b210-7ec9fe99a244",
   "metadata": {},
   "source": [
    "La salida son las proposiciones que podemos encontrar en cada nivel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "0319c19c-e151-4133-bbcd-ca076bf96e17",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---------------------------------\n",
      "LEVEL 0\n",
      "In(Robot, R2) ^ In(Key, R2) ^ ¬Locked(Door)\n",
      "---------------------------------\n",
      "LEVEL 1\n",
      "Holding(Key) ^ ¬Locked(Door) ^ In(Robot, R1) ^ In(Robot, R2) ^ In(Key, R2)\n",
      "---------------------------------\n",
      "LEVEL 2\n",
      "Holding(Key) ^ ¬Locked(Door) ^ In(Robot, R1) ^ In(Robot, R2) ^ Locked(Door) ^ In(Key, R1) ^ In(Key, R2)\n",
      "---------------------------------\n",
      "LEVEL 3\n",
      "Holding(Key) ^ ¬Locked(Door) ^ In(Key, Box) ^ In(Robot, R1) ^ Locked(Door) ^ In(Key, R1) ^ In(Key, R2) ^ In(Robot, R2)\n"
     ]
    }
   ],
   "source": [
    "i = 0\n",
    "for level in plan_graph_levels:\n",
    "    print('---------------------------------')\n",
    "    print(f'LEVEL {i}')\n",
    "    print(print_state(level))\n",
    "    i += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8bb0266-e957-4cac-99cc-b02092e33f5a",
   "metadata": {},
   "source": [
    "Esta gráfica nos orienta la búsqueda y es una aproximación optimista sobre la cantidad de pasos que nos tomaría llegar al objetivo. Por esto, usaremos la cantidad de niveles en la gráfica como heurística para orientar la búsqueda.\n",
    "\n",
    "La función _graph_heuristic_ nos ayuda a hacer esto a partir de la gráfica de planeación. Donde regresa la cantidad de niveles expandidos hasta alcanzar el objetivo o nos regresa infinito si la gráfica no pudo encontrar el objetivo. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "8b6d55b6-1724-4791-a00e-99669de8adcf",
   "metadata": {},
   "outputs": [],
   "source": [
    "def graph_heuristic(state, goal, actions):\n",
    "    graph = build_plan_graph(state, goal, actions)\n",
    "    if len(graph) > 0:\n",
    "        return len(graph) - 1\n",
    "    else:\n",
    "        return float('inf')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdc1b0f5-5656-4acf-bd00-eaf3c9eb06e7",
   "metadata": {},
   "source": [
    "## Búsqueda A*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11a11fbd-2db0-436a-bfb0-e137f5baacef",
   "metadata": {},
   "source": [
    "Ya que tenemos las representaciones y la heurística podemos aplicar el algoritmo de A* para encontrar la solución.\n",
    "\n",
    "Para esto lo primero que tenemos que hacer es contruir una clase Nodo, que nos ayudara a definir los estados de la búsqueda. Esta clase nodo tendrá los siguientes atributos:\n",
    "\n",
    "- **State**: Corresponde al estado del mundo en el que se encuentra\n",
    "- **Cost**: El costo acumulado para llegar a ese estado\n",
    "- **Heuristic**: La heurística según se definió anteriormente\n",
    "- **Function**: La función para orientar la búsqueda definida como costo + heurística\n",
    "- **Plan**: El plan de acciones para llegar al estado del nodo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "581e450e-52be-422b-9a66-0b02501e43c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Node:\n",
    "    def __init__(self, state, cost, heuristic, plan):\n",
    "        self.state = state\n",
    "        self.cost = cost\n",
    "        self.heuristic = heuristic\n",
    "        self.function = cost + heuristic\n",
    "        self.plan = plan"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c786df9a-fce1-4b9e-aa42-b240004c1dda",
   "metadata": {},
   "source": [
    "Definimos nuestro primer nodo con el estado inicial del problema"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "c9b87a0f-8b1c-4459-a251-6896cc39a171",
   "metadata": {},
   "outputs": [],
   "source": [
    "node = Node(initial_state, 0, float('inf'), [])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29e88b0a-ebe8-467b-9b69-10637ce44f86",
   "metadata": {},
   "source": [
    "Y definimos una función para realizar la búsqueda A* basada en el algoritmo visto en clase"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "23e16242-ad74-4c48-ab9f-925100f5ff3a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def A_star(initial_node, goal, actions):\n",
    "    frontier = [initial_node]\n",
    "    while len(frontier) > 0:\n",
    "        node = frontier.pop(0)\n",
    "        \n",
    "        if all(elem in node.state for elem in goal):\n",
    "            return node.plan\n",
    "            break\n",
    "            \n",
    "        else:\n",
    "            for action in actions:\n",
    "                new_state = action.apply(node.state)\n",
    "                   \n",
    "                if all(elem in node.state for elem in new_state) and all(elem in new_state for elem in node.state) :\n",
    "                    pass\n",
    "                else:\n",
    "                    h = graph_heuristic(new_state, goal, actions)\n",
    "                    c = node.cost + 1\n",
    "                    new_node = Node(new_state, c, h, copy.deepcopy(node.plan))\n",
    "                    new_node.plan.append(action)\n",
    "                    \n",
    "                    frontier.append(new_node)\n",
    "            \n",
    "            frontier = sorted(frontier, key = lambda x: x.function)\n",
    "            \n",
    "    return 'NO HAY RESPUESTA'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4997ec55-efb1-4860-a024-540951581a12",
   "metadata": {},
   "source": [
    "Una vez con esto, podemos hacer llamar a la función para hacer la búsqueda"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "c417df41-33bd-449d-9144-af8fcafe4468",
   "metadata": {},
   "outputs": [],
   "source": [
    "plan = A_star(node, goal, [grasp_key, lock_door, key_into_box, r1_to_r2, r2_to_r1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "8c5b8eae-5fb0-4d18-8884-a76c92fcbf64",
   "metadata": {},
   "outputs": [],
   "source": [
    "plan = ' -> '.join([str(x) for x in plan])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "29b55732-0989-440c-b46a-7d2495b5face",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Grasp Key -> Move from R2 to R1 -> Lock Door -> Put Key Into Box'"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11af6b39-2a31-4de6-aca4-872ea641b186",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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