Update app.py

app.py

@@ -284,56 +284,81 @@ roleplaying_glossary = {
 "Supports various AI algorithms and models"
 ]
 },
-"🎲 Roleplaying Games": {
-"ShadowRun The Third Parallel 🌑": [
-"Cyberpunk-themed tabletop RPG",
-"Players take on roles of shadowrunners",
-"Blend of magic and technology",
-"Missions in a dystopian future setting",
-"Includes rules for hacking, combat, and magic"
+"🚀 World Ship Design": {
+"ShipHullGAN 🌊": [
+"Generic parametric modeller for ship hull design",
+"Uses deep convolutional generative adversarial networks (GANs)",
+"Trained on diverse ship hull designs",
+"Generates geometrically valid and feasible ship hull shapes",
+"Enables exploration of traditional and novel designs",
+"From the paper 'ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model'"
 ],
-"ShadowRun Falling Point 🏙️": [
-"Expansion book for ShadowRun RPG",
-"Introduces new locations and factions",
-"Provides additional missions and storylines",
-"Expands on the lore of the ShadowRun universe",
-"Includes new gear, spells, and character options"
+"B\'ezierGAN 📐": [
+"Automatic generation of smooth curves",
+"Maps low-dimensional parameters to B\'ezier curve points",
+"Generates diverse and realistic curves",
+"Preserves shape variation in latent space",
+"Useful for design optimization and exploration",
+"From the paper 'B\'ezierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters'"
 ],
-"Marvel Champions The Card Game 🦸‍♂️": [
-"Cooperative card game set in the Marvel universe",
-"Players take on roles of Marvel heroes",
-"Deck-building and resource management mechanics",
-"Battle against villains and complete scenarios",
-"Includes hero-specific cards and abilities"
+"PlotMap 🗺️": [
+"Automated game world layout design",
+"Uses reinforcement learning to place plot elements",
+"Considers spatial constraints from story",
+"Enables procedural content generation for games",
+"Handles multi-modal inputs (images, locations, text)",
+"From the paper 'PlotMap: Automated Layout Design for Building Game Worlds'"
 ],
-"Runescape Kingdoms the Roleplaying Game 🗡️": [
-"Tabletop RPG based on the Runescape video game",
-"Players explore the world of Gielinor",
-"Includes rules for skills, combat, and quests",
-"Adapt iconic locations and characters from the game",
-"Allows for creating unique adventures in the Runescape setting"
+"ShipGen ⚓": [
+"Diffusion model for parametric ship hull generation",
+"Considers multiple objectives and constraints",
+"Generates tabular parametric design vectors",
+"Uses classifier guidance to improve hull quality",
+"Reduces design time and generates high-performing hulls",
+"From the paper 'ShipGen: A Diffusion Model for Parametric Ship Hull Generation with Multiple Objectives and Constraints'"
 ],
-"Waterdeep Dungeon of the Mad Mage Maps and Miscellany 🗺️": [
-"Supplement for the Dungeons & Dragons RPG",
-"Provides maps and additional content for the Waterdeep: Dungeon of the Mad Mage adventure",
-"Includes detailed maps of the dungeon levels",
-"Offers new encounters, traps, and treasures",
-"Enhances the gameplay experience for DMs and players"
+"Ship-D 📊": [
+"Large dataset of ship hulls for machine learning",
+"30,000 hulls with design and performance data",
+"Includes parameterization, mesh, point cloud, images",
+"Measures hydrodynamic drag under different conditions",
+"Enables data-driven ship design optimization",
+"From the paper 'Ship-D: Ship Hull Dataset for Design Optimization using Machine Learning'"
+]
+},
+"🌌 Exploring the Universe":{
+"Cosmos 🪐": [
+"Object-centric world modeling framework",
+"Designed for compositional generalization",
+"Uses neurosymbolic grounding",
+"Neurosymbolic scene encodings and attention mechanism",
+"Computes symbolic attributes using vision-language models",
+"From the paper 'Neurosymbolic Grounding for Compositional World Models'"
 ],
-"Players Handbook Dungeons and Dragons 📘": [
-"Core rulebook for the Dungeons & Dragons RPG",
-"Provides rules for character creation, combat, and spellcasting",
-"Includes detailed descriptions of races, classes, and backgrounds",
-"Offers a wide range of options for customizing characters",
-"Essential resource for players and Dungeon Masters"
+"Active World Model Learning 🔭": [
+"Curiosity-driven exploration for world model learning",
+"Constructs agent to visually explore 3D environment",
+"Uses progress-based curiosity signal ($\gamma$-Progress)",
+"Overcomes 'white noise problem' in exploration",
+"Outperforms baseline exploration strategies",
+"From the paper 'Active World Model Learning with Progress Curiosity'"
 ],
-"Pathfinder Lost Omens World Guide 🌍": [
-"Campaign setting sourcebook for the Pathfinder RPG",
-"Explores the world of Golarion",
-"Provides detailed information on nations, cultures, and religions",
-"Includes new character options and equipment",
-"Offers hooks and inspiration for creating adventures",
-"Example: In the bustling city of Absalom, a group of adventurers gather at the Pathfinder Society headquarters. They are tasked with uncovering the secrets of an ancient artifact, believed to hold the key to a long-lost civilization. As they embarked on their journey across the Inner Sea region, they encountered rival factions, dangerous creatures, and hidden temples. Through their wit, skill, and teamwork, they ultimately unraveled the mystery and secured the artifact, cementing their place in the annals of the Pathfinder Society."
+"Probabilistic Worldbuilding 🎲": [
+"Symbolic Bayesian model for semantic parsing and reasoning",
+"Aims for general natural language understanding",
+"Expresses meaning in human-readable formal language",
+"Designed to generalize to new domains and tasks",
+"Outperforms baselines on out-of-domain question answering",
+"From the paper 'Towards General Natural Language Understanding with Probabilistic Worldbuilding'"
+],
+"Language-Guided World Models 💬": [
+"Capture environment dynamics from language descriptions",
+"Allow efficient communication and control",
+"Enable self-learning from human instruction texts",
+"Tested on challenging benchmark requiring generalization",
+"Improves interpretability and safety via generated plans",
+"From the paper 'Language-Guided World Models: A Model-Based Approach to AI Control'"
+
 ]
 }
 }