آموزش تسلط بر طراحی مدرن بازی با استفاده از هوش مصنوعی - آخرین آپدیت

سرفصل ها و درس ها

Module 1: Introduction to AI Games Module 1: Introduction to AI Games

• Navigation Video Navigation Video

• Audiobook: Course Introduction Audiobook: Course Introduction

• Course Introduction Course Introduction

• Audiobook: Module 1: Introduction to AI Games Audiobook: Module 1: Introduction to AI Games

• Podcast: Module 1: Introduction to AI Games Podcast: Module 1: Introduction to AI Games

• 1.1 What is AI? 1.1 What is AI?

• 1.2 Evolution of AI in the Gaming Industry 1.2 Evolution of AI in the Gaming Industry

• 1.3 Types of AI in Games 1.3 Types of AI in Games

• 1.4 Benefit of AI in Gaming 1.4 Benefit of AI in Gaming

Module 2: Game Design Principles using AI Module 2: Game Design Principles using AI

• Audiobook: Module 2: Game Design Principles using AI Audiobook: Module 2: Game Design Principles using AI

• Podcast: Module 2: Game Design Principles using AI Podcast: Module 2: Game Design Principles using AI

• 2.1 What are Game Mechanics? 2.1 What are Game Mechanics?

• 2.2 Game Mechanics: Building Blocks and Core Components 2.2 Game Mechanics: Building Blocks and Core Components

• 2.3 Types, Purpose, Selection and Benefits of Game Mechanics 2.3 Types, Purpose, Selection and Benefits of Game Mechanics

• 2.4 Role of AI in Gameplay and Narrative Design 2.4 Role of AI in Gameplay and Narrative Design

• 2.5 Game Environment Design: Definition, Importance, and Key Components 2.5 Game Environment Design: Definition, Importance, and Key Components

• 2.6 AI Interaction in Game Environment Design 2.6 AI Interaction in Game Environment Design

• 2.7 Scripted Logic, AI Behavior, and Their Role in Game Design 2.7 Scripted Logic, AI Behavior, and Their Role in Game Design

Module 3: Foundation of AI in Gaming Module 3: Foundation of AI in Gaming

• Audiobook: Module 3: Foundation of AI in Gaming Audiobook: Module 3: Foundation of AI in Gaming

• Podcast: Module 3: Foundation of AI in Gaming Podcast: Module 3: Foundation of AI in Gaming

• 3.1 AI in Gaming: Roles, Features, Entities, and Environments 3.1 AI in Gaming: Roles, Features, Entities, and Environments

• 3.2 AI Dynamics in Gaming: States, Actions, and System Integration 3.2 AI Dynamics in Gaming: States, Actions, and System Integration

• 3.3 Search Algorithms in Gaming: Concepts, Purpose, and Types 3.3 Search Algorithms in Gaming: Concepts, Purpose, and Types

• 3.4 AI Behavior Modeling and NPC Control Using Finite State Machines 3.4 AI Behavior Modeling and NPC Control Using Finite State Machines

• 3.5 Introduction to Machine Learning and Reinforcement Learning 3.5 Introduction to Machine Learning and Reinforcement Learning

• 3.6 Case Study: AI in Minecraft —Procedural Content Generation and Agent Navigation 3.6 Case Study: AI in Minecraft —Procedural Content Generation and Agent Navigation

Module 4: Reinforcement Learning Fundamentals Module 4: Reinforcement Learning Fundamentals 

• Audiobook: Module 4: Reinforcement Learning Fundamentals Audiobook: Module 4: Reinforcement Learning Fundamentals 

• Podcast: Module 4: Reinforcement Learning Fundamentals Podcast: Module 4: Reinforcement Learning Fundamentals 

• 4.1 What is Reinforcement Learning? 4.1 What is Reinforcement Learning?

• 4.2 Q learning Algorithm 4.2 Q-learning Algorithm

• 4.3 Understanding the Concept of Exploration versus Exploitation 4.3 Understanding the Concept of Exploration versus Exploitation

• 4.4 Strategies for Balancing Exploration and Exploitation in RL Agents 4.4 Strategies for Balancing Exploration and Exploitation in RL Agents

• 4.5 Deep Q Networks (DQN) 4.5 Deep Q Networks (DQN)

• 4.6 Policy Gradient Methods and Case Study 4.6 Policy Gradient Methods and Case Study

Module 5: Planning and Decision Making in Games Module 5: Planning and Decision Making in Games

• Audiobook: Module 5: Planning and Decision Making in Games Audiobook: Module 5: Planning and Decision Making in Games

• Podcast: Module 5: Planning and Decision Making in Games Podcast: Module 5: Planning and Decision Making in Games

• 5.1 Minimax Algorithm 5.1 Minimax Algorithm

• 5.2 Alpha Beta Pruning Optimization in the Min Max Algorithm 5.2 Alpha-Beta Pruning Optimization in the Min-Max Algorithm

• 5.3 Monte Carlo Tree Search and Exploration vs Exploitation 5.3 Monte Carlo Tree Search and Exploration vs Exploitation

• 5.4 Application in Classic Board Games 5.4 Application in Classic Board Games 

• 5.5 Case Study: Strategic AI in StarCraft II – Combining Planning Algorithms for Real Time Strategy 5.5 Case Study: Strategic AI in StarCraft II – Combining Planning Algorithms for Real-Time Strategy

Module 6: AI Techniques in 2D/3D Virtual Gaming Environments Basic Module 6: AI Techniques in 2D/3D Virtual Gaming Environments Basic

• Audiobook: Module 6: AI Techniques in 2D/3D Virtual Gaming Environments Basic Audiobook: Module 6: AI Techniques in 2D/3D Virtual Gaming Environments Basic

• Podcast: Module 6: AI Techniques in 2D/3D Virtual Gaming Environments Basic Podcast: Module 6: AI Techniques in 2D/3D Virtual Gaming Environments Basic

• 6.1 What is 2D Game Development? 6.1 What is 2D Game Development?

• 6.2 3D Game Worlds 6.2 3D Game Worlds

• 6.3 Game Environments and Representation Techniques 6.3 Game Environments and Representation Techniques

• 6.4 Terrain Modeling Basics and Environmental Assets Integration 6.4 Terrain Modeling Basics and Environmental Assets Integration

• 6.5 Navigation and Pathfinding Algorithms 6.5 Navigation and Pathfinding Algorithms

• 6.6 Interaction and Behavior Systems: From Basic Interactions to Animation Syncing and Coordinated Behavior in 2D and 3D Environments 6.6 Interaction and Behavior Systems: From Basic Interactions to Animation Syncing and Coordinated Behavior in 2D and 3D Environments

• 6.7 Case Study: Navigation and Interaction AI in The Legend of Zelda: Breath of the Wild – Enhancing Player Immersion with Dynamic AI Systems 6.7 Case Study: Navigation and Interaction AI in The Legend of Zelda: Breath of the Wild – Enhancing Player Immersion with Dynamic AI Systems

Module 7: Adaptive Systems and Dynamic Difficulty Module 7: Adaptive Systems and Dynamic Difficulty

• Audiobook: Module 7: Adaptive Systems and Dynamic Difficulty Audiobook: Module 7: Adaptive Systems and Dynamic Difficulty

• Podcast: Module 7: Adaptive Systems and Dynamic Difficulty Podcast: Module 7: Adaptive Systems and Dynamic Difficulty

• 7.1 Adaptive Systems Overview 7.1 Adaptive Systems Overview

• 7.2 Key Principles and Techniques of Dynamic Difficulty Adjustment (DDA) 7.2 Key Principles and Techniques of Dynamic Difficulty Adjustment (DDA)

• 7.3 Understanding Adaptive Storytelling 7.3 Understanding Adaptive Storytelling

• 7.4 Personalization and Player Profiling 7.4 Personalization and Player Profiling

• 7.5 AI Techniques in Adaptive Systems 7.5 AI Techniques in Adaptive Systems

• 7.6 Implementation Strategies and Tools 7.6 Implementation Strategies and Tools

• 7.7 Case Study: Dynamic Enemy Management and Replayability with Left 4 Dead’s AI Director 7.7 Case Study: Dynamic Enemy Management and Replayability with Left 4 Dead’s AI Director

Module 8: Future of AI in Gaming Module 8: Future of AI in Gaming

• Audiobook: Module 8: Future of AI in Gaming Audiobook: Module 8: Future of AI in Gaming

• Podcast: Module 8: Future of AI in Gaming Podcast: Module 8: Future of AI in Gaming

• 8.1 Generalist AI Agents and Transfer Learning 8.1 Generalist AI Agents and Transfer Learning

• 8.2 AI Powered Game Design 8.2 AI-Powered Game Design

• 8.3 AI Tools for Balanced and Engaging Gameplay 8.3 AI Tools for Balanced and Engaging Gameplay

• 8.4 Ethical Challenges in AI Gaming 8.4 Ethical Challenges in AI Gaming

• 8.5 Overview on Emerging Technologies VR/AR AI 8.5 Overview on Emerging Technologies VR/AR AI

• Course Summary Course Summary

Module 9: Capstone Project Module 9: Capstone Project