Crowd Your Way Out of a Paper Bag

Overview

Syllabus

• Introduction to Course Concepts
Overview of Cellular Automata, Swarms, and Agents
Relevance of Crowd Simulations in AI
• Understanding Cellular Automata
History and Basics of Cellular Automata
Creating and Simulating Cellular Automata in Software
• Swarm Intelligence
Principles of Swarm Behavior
Designing and Implementing Swarm Models
• Agent-Based Modeling
Characteristics of Agents and Multi-Agent Systems
Developing Agent-Based Models for Simulations
• The Role of Randomness in AI
Concepts of Stochastic Processes
Incorporating Randomness in AI Models
• Basics of Machine Learning
Overview of Supervised and Unsupervised Learning
Implementing Simple Machine Learning Algorithms
• Spatial Navigation in Simulations
Pathfinding Algorithms (e.g., A*, Dijkstra)
Collision Avoidance Techniques
• Practical Simulations and Case Studies
Hands-on Simulations of Cellular Automata, Swarms, and Agents
Analysis of Real-World Crowd Simulation Case Studies
• Integrative Project
Designing and Building a Comprehensive Crowd Simulation Model
Presentation and Peer Review
• Conclusion and Future Directions in Crowd Simulations
Emerging Trends and Technologies in AI-Based Simulations
Ethical Considerations in Crowd Simulation AI

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Subjects

Conference Talks