What You Need to Know Before
You Start
Starts 8 June 2025 10:48
Ends 8 June 2025
00
days
00
hours
00
minutes
00
seconds
1 hour 10 minutes
Optional upgrade avallable
Not Specified
Progress at your own speed
Conference Talk
Optional upgrade avallable
Overview
Explore cellular automata, swarms, and agents in crowd simulations. Learn about randomness in AI, machine learning basics, and spatial navigation through engaging simulations and practical examples.
Syllabus
- Introduction to Course Concepts
- Understanding Cellular Automata
- Swarm Intelligence
- Agent-Based Modeling
- The Role of Randomness in AI
- Basics of Machine Learning
- Spatial Navigation in Simulations
- Practical Simulations and Case Studies
- Integrative Project
- Conclusion and Future Directions in Crowd Simulations
Overview of Cellular Automata, Swarms, and Agents
Relevance of Crowd Simulations in AI
History and Basics of Cellular Automata
Creating and Simulating Cellular Automata in Software
Principles of Swarm Behavior
Designing and Implementing Swarm Models
Characteristics of Agents and Multi-Agent Systems
Developing Agent-Based Models for Simulations
Concepts of Stochastic Processes
Incorporating Randomness in AI Models
Overview of Supervised and Unsupervised Learning
Implementing Simple Machine Learning Algorithms
Pathfinding Algorithms (e.g., A*, Dijkstra)
Collision Avoidance Techniques
Hands-on Simulations of Cellular Automata, Swarms, and Agents
Analysis of Real-World Crowd Simulation Case Studies
Designing and Building a Comprehensive Crowd Simulation Model
Presentation and Peer Review
Emerging Trends and Technologies in AI-Based Simulations
Ethical Considerations in Crowd Simulation AI
Subjects
Conference Talks
