Introduction to Multi-Agent Systems

Overview

ABOUT THE COURSE:

This course introduces foundational and some advanced concepts in multi-agent systems with a focus on its applications in various domains. Students will explore mathematical tools from linear algebra, systems theory and algebraic and spectral graph theory to model and analyse the inter-agent interactions in coordinated frameworks.

Thereafter, we will study some protocols to achieve consensus among the agents. The course will conclude with some applications of consensus protocols in the areas of path planning and coordination of multi-robot systems, networks of coupled oscillators and mathematical sociology.

Syllabus

• Introduction to Multi-Agent Systems
Definition and characteristics
Examples and applications
• Mathematical Foundations
Linear Algebra for multi-agent systems
Introduction to systems theory
Basics of algebraic graph theory
Spectral graph theory fundamentals
• Inter-Agent Interactions
Modeling of agent interactions
Analysis of coordinated frameworks
• Consensus Protocols
Definition of consensus in multi-agent systems
Mathematical modeling of consensus
Protocols and algorithms for achieving consensus
Challenges and limitations
• Applications of Consensus Protocols
Path planning in multi-agent systems
Coordination of multi-robot systems
Networks of coupled oscillators
Applications in mathematical sociology
• Case Studies and Real-World Applications
Detailed study of multi-agent coordination problems
Exploration of cutting-edge research in the field
• Course Conclusion and Future Directions
Summary of key concepts and techniques
Discussion on emerging trends in multi-agent systems

Taught by

Prof. Twinkle Tripathy

Subjects

Computer Science