From 897c219c8dffb476bfde2e772d92edf3d294bb8b Mon Sep 17 00:00:00 2001 From: Simon CATANESE Date: Mon, 4 Dec 2023 19:52:34 +0100 Subject: [PATCH] =?UTF-8?q?Sp=C3=A9cifications=20fonctionnelles?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- Spécifications fonctionnelles.md | 187 ++++++++++++++++++++++++++++++ Spécifications fonctionnelles.pdf | Bin 0 -> 186947 bytes 2 files changed, 187 insertions(+) create mode 100644 Spécifications fonctionnelles.md create mode 100644 Spécifications fonctionnelles.pdf diff --git a/Spécifications fonctionnelles.md b/Spécifications fonctionnelles.md new file mode 100644 index 0000000..d17715f --- /dev/null +++ b/Spécifications fonctionnelles.md @@ -0,0 +1,187 @@ +--- + +# Projet Jetpack DinoAI + +Comparaison de Différentes Intelligences Artificielles dans un Jeu Simple + +Cahier des charges fonctionnelles + +Par : + +Victor Descamps +Simon Catanese +Ethan Richard + +Tuteur : + +Florent Madelaine + +fait le 18/11/2023 + + + +> Les images sont présentes en local avec ce document s'il y a un problème d'affichage nous recommandons d'utiliser l'extension markdown viewer de Firefox + +# Sommaire : + +- [Contexte](#Contexte-) + +- - [Sujet](#sujet-) + +- - [Objectifs](#objectifs-) + +- - [Le Jeu](#le-jeu-) + +- - - [Le jeu de base](#le-jeu-de-base-) + +- - - [Notre jeu](#notre-jeu-) + +- [Les Bots](#les-bots-) + +- - [S) Le sachant (Apprentissage)](#s-le-sachant-apprentissage--) + + - [M) L’observateur (Apprentissage)](#m-lobservateur-apprentissage-) + + - [M) Le calculateur (Algorithme)](#m-le-calculateur-algorithme) + + - [C) Le calculateur apprenant (Algorithme & IA)](#c-le-calculateur-apprenant-algorithme--ia-) + +- [L'application :](#lapplication-) + +- - [Menu principal](#menu-principal-) + + - [Affichage des données](#affichage-des-données-) + + - [Configuration d'une partie](#configuration-dune-partie-) + + - [Le jeu](#le-jeu--1) + +# Contexte + +### Sujet : + +Florent Madelaine.  + +Expérimentation Bots pour un ou des jeux.  + +Programmer un jeu original avec idéalement des éléments qui en font un challenge pour la réalisation d’IA (hasard, phase d’enchère changeant le payoff, multijoueur, combinatoire importante, ...). Il conviendra de choisir un jeu pour lequel il est possible de réduire la combinatoire du jeu de manière naturelle et de désactiver/activer des règles pour en étudier des variantes naturelles. Il faudra ensuite créer, améliorer et expérimenter avec divers algorithmes pour converger vers des bots offrant un challenge raisonnable pour un humain. + +### Objectifs : + +Nous avons très rapidement opté pour faire différentes IA qui pourraient jouer toutes seules à un jeu simple. Nous sommes très intéressés par la notion de temps réel et de l’apprentissage.  + +Notre objectif serait de comparer différentes méthodes d’analyse du jeu sur des bots différents pour les comparer entre elles sur plusieurs facteurs comme le temps d'apprentissage ou l'efficacité de la méthode. + +Le livrable sera une application exécutable avec un .exe. L’interface doit permettre de lancer le jeu en choisissant les paramètres désirés. L’utilisateur pourra choisir de contrôler l’avatar pour jouer lui-même ou bien déléguer la partie à l’un des bots développés, puis éventuellement apporter des changements de règle au jeu. + +En fonction des paramètres choisis, l’utilisateur peut jouer lui-même ou assister à la partie d’un ou plusieurs bots en même temps. Chaque partie de chaque bot (ou du joueur) enregistre des données stockées au format json ou xml.  + +L’utilisateur peut choisir un paramètre “Rush” privilégiant la vitesse de calculs à l’affichage graphique, accélérant le jeu au maximum et réalisant des parties en boucle pour obtenir des données exploitables et comparables le plus vite possible. + +Le menu principal du jeu permet d’accéder à une interface de visualisation des données collectées en jeu, affichables en graphiques et tableaux, permettant de comparer efficacement les performances des différents bots et du joueur humain en fonction des paramètres de partie choisis.  + +# Le Jeu : + +### Le jeu de base : + +Jetpack Joyride est un jeu dit “Runner” car il consiste simplement à aller le plus loin possible tout en survivant aux dangers que le jeu lui oppose. Les règles du jeu sont simples, laissant le joueur décider de se propulser son avatar vers le haut ou de le laisser tomber pour faire bouger son personnage verticalement tandis que le terrain et donc ses obstacles avancent horizontalement vers lui de plus en plus vite. + +![capture ecran partie type](images/img1PNG.PNG) + +( capture d’écran d’une partie type ) + +### Notre jeu : + +Pour faire jouer nos IA nous allons donc reproduire le jeu sur Unity en adaptant certains aspects pour faciliter la compréhension et l’apprentissage de l’IA : + +- Les objets qui ajoutent des règles très situationnelles sont retirés (comme les véhicules ou bonus modifiant l'expérience interactive du jeu). + +- Un système de score sera ajouté. La maximisation du score sera l’objectif de l’IA au-delà du temps de survie. Le score aura une augmentation linéaire en fonction du temps de survie et pourra être augmenté en ramassant des pièces. Mais de mauvaises pièces peuvent apparaître et faire baisser le score. Les IA devront ainsi adapter leur chemin pour tenter de maximiser leur score quitte à prendre des risques. + + interface du jeu + +- Le jeu original peut faire apparaître des missiles pouvant tuer le joueur. Ces missiles ne seront initialement pas implémentés, des tests nous permettront de savoir si ils sont un ajout viable au jeu après le développement du premier bot. + +# + +## Les bots : + +nb. Pour comprendre la suite, il faut savoir que les IA fonctionnant par apprentissage nécessitent l’apport d’un certain nombre de données de sources définies pour fonctionner, données qu’elles apprennent à corréler par tâtonnement afin de trouver la meilleure approche et apporter les meilleures réponses. + +Notation MoSCoW: + +Must Should Could Would + +### S) Le sachant (Apprentissage) illustration 1 + +Cette IA avancera à l’aveugle en ayant en tête les positions de chaque objet sur l'écran. On s’attends à ce que l’IA comprenne que l’objet représentant son personnage ne doit pas s’approcher des objets néfastes entraînant la mort ou une baisse de score. + +### M) L’observateur (Apprentissage) illustration 2 + +Cette IA ne connaît pas les coordonnées des objets à l’écran. L’observateur possède en revanche un champ de vision lui permettant de repérer sur certains angles la distance d’objets par rapport à l’avatar. On s'attend à ce que l’IA apprenne à éviter les objets néfastes s’approchant trop de l’avatar.  + +### M) Le calculateur (Algorithme) illustration 3 + +Le bot Calculateur ne fonctionne pas par apprentissage mais par un algorithme. Au fil de la partie, le calculateur doit calculer par itérations différents chemins en essayant de s’approcher du chemin le plus sûr possible. Par intervalle de temps, le calculateur essaiera de prolonger le meilleur chemin qu’il a trouvé et testera des déviations possibles apportant un éventuel avantage sur l’espérance de survie et d’obtention de points. + +### C) Le calculateur apprenant (Algorithme & IA) illustration 4 + +Bot optionnel fonctionnant comme le calculateur à la différence que l’on essaiera d’y implémenter une IA qui devra faire de meilleurs choix de prolongement et de déviation de chemin afin d’augmenter l’efficacité et les performances du bot Calculateur. On s'attend à ce que l’IA apprenne à trouver des chemins plus sûrs en prenant en compte les chemins déjà testés. + +D’autres IA viendront si les idées et les deadlines nous le permettent. + +# + +## L’Application : + +### Menu principal : + +![image menu principal](images/img7PNG.PNG) + +Permet de naviguer entre les deux parties majeures de l’application.  + +Le bouton “Lancer le jeu” redirige vers un menu de configuration de la partie.  + +Le bouton “Consulter les données” redirige vers une interface de visualisation des données récoltées au long des parties enregistrées. + +### Affichage des données : + +Cette interface traite les données enregistrées automatiquement pendant toutes les parties jouées. Les bots utilisés et les règles de chaque partie permettent de différencier chaque ensemble de données. +Les données traitées seront affichées sous forme de tableaux ou graphiques selon ce qui semble le plus adapté. +Différents onglets permettent de filtrer l’affichage et obtenir des informations plus précises sur certains aspects. + +L’objectif est de permettre à l’utilisateur de pouvoir comparer facilement de multiples aspects de chaque bots de manière concrète et rigoureuse après avoir recueilli suffisamment de données. + +Il est envisagé d’implémenter une fonctionnalité d’export des données en tableau Exel. + +image affichage des données + +### Configuration d’une partie : + +image configuration d'une partie + +Cette interface permet à l’utilisateur de configurer une partie ou une suite de parties auxquelles il fera participer un ou plusieurs bots ou bien lui-même.  + +Les règles du jeu peuvent être modifiées pour soumettre les bots à des conditions de jeu diverses. + +Des éléments comme les missiles ou les pièces peuvent être activés ou désactivés. D’autres paramètres peuvent être modifiés comme la vitesse maximale pouvant être atteinte par le jeu ou le nombre d’essais maximums et la durée de session maximum (la session s’arrête lorsqu’une des deux limites est atteinte). + +Chaque partie peut comporter une seed aléatoire ou garder une seed constante. La seed constante peut être la seed par défaut, conservée dans les fichiers du jeu et non modifiée depuis le début du développement, ou bien une autre seed choisie par l’utilisateur. La seed par défaut peut aussi être modifiée.  + +Enfin, le mode Rush permet de maximiser la vitesse du jeu pour accélérer la collecte de données et l’apprentissage des bots. Ce mode de jeu remplace le rendu graphique par une console affichant en temps réel différentes informations. La vitesse du mode rush dépend entièrement de la puissance de l’ordinateur combinée à la complexité de calcul générée par les bots. + +Il est envisagé de permettre de choisir un niveau d'entraînement pour chaque bot.  + +### Le jeu : + +![image du jeu plus travaillé](images/img10PNG.PNG) + +L’écran de jeu exécutera en temps réel la reproduction du jeu Jetpack Joyride en rendu graphique (ou console si le mode Rush est activé). +L’avatar, représentant la célèbre mascotte officieusement officielle du BUT INFO, Dino, peut se déplacer de haut en bas. Le décor et les autres éléments du jeu se déplacent de droite à gauche. +Dino doit se déplacer verticalement de manière à éviter les lasers et autres malus et attraper le plus de pièces possibles. + +Si plusieurs bots jouent ensemble, leurs avatars apparaîtront en transparence. L’avatar du joueur humain sera toujours opaque. + +Si plusieurs parties sont configurées, chaque partie suivante commencera dès la fin de la partie en cours. + +A la fin de la dernière partie, l’application changera d’interface pour afficher le menu de consultation de données ne comprenant que les données obtenues pendant la session jouée.** diff --git a/Spécifications fonctionnelles.pdf b/Spécifications fonctionnelles.pdf new file mode 100644 index 0000000000000000000000000000000000000000..789da4536e0cded0c3db039da4b6e9750cdee431 GIT binary patch literal 186947 zcmV)DK*7HyP((&8F)lO;CF0}H(+V*&ATS_rVrmLJJPI#kVIVOIFG5WqFHUcAZDDK* zK0XR%Ze(v_Y6>woATS_rVrmLJJPI#NWo~D5XfYr(F)=nY3NJ=!Y;5C@X&; zXX>Sp^CpDG8OxW(AC3Is?+D>igv5#0F1l{Pn=9%cLP%ON{9!16$5Obz?`+6$Rj60P`SWm|KYPK_8^`pGeGKQv==0_;oH5-yrB4rp zw&Wwkl`fcm<0A2t4W9j@aZo;f{qzO1B3JeKGn_AiI;>o@aLLk43EGO#kH4VT7cHK( zsNkK^2NAl@ijd`(h~qZkEl5DJ@Q_decZ7|U`z^YbxMYD?M4r$;9$vx01CaSQdhD37 zNJq(nqrzM1@wh@7h+B1pGnouRd{TIUz76rh0ThG~5}raqK8XSdWj=xMDNWOJGN01x 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