Id: 041781
Credits Min: 3
Credits Max: 3
Description
Our world is increasingly becoming more connected, with multiple natural and engineered entities operating in a common space, and possessing the capability to sense, react to, and manipulate the physical world around us. Many modern world systems such as the traffic networks, multi-robot systems, stock exchanges, and even human societies, exist as multi-agent systems (or system-of-systems). In this course, we will discuss approaches to model, quantify, and influence (or control) the global behaviors of these multi-agent systems. The course will provide introductory dynamic modeling techniques for multi-agent systems. The course will provide introductory dynamic modeling techniques for multi-agent systems, discuss information-theoretic measures for quantifying the behaviors of these systems, and provide techniques to design stat-of-the a-art controllers for these systems.
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