Multi-agent systems for autonomous decision-making
Table Of Contents
<p>1. Introduction<br> 1.1 Background and motivation<br> 1.2 Objectives of the project<br>2. Literature Review<br> 2.1 Overview of multi-agent systems and autonomous decision-making<br> 2.2 Communication and coordination in multi-agent systems<br> 2.3 Applications of multi-agent systems in different domains<br>3. System Design<br> 3.1 Agent architecture and decision-making algorithms<br> 3.2 Communication protocols and coordination mechanisms<br> 3.3 Integration of multi-agent system with real-world scenarios<br>4. Experimental Scenarios<br> 4.1 Traffic management and congestion control<br> 4.2 Robotic coordination and task allocation<br> 4.3 Resource allocation in dynamic environments<br>5. Discussion<br> 5.1 Analysis of system performance in different scenarios<br> 5.2 Challenges and limitations of multi-agent systems<br></p>
Project Abstract
<p> This project focuses on the design and implementation of multi-agent systems for autonomous decision-making in complex environments. Multi-agent systems consist of multiple interacting agents that can perceive their environment, make decisions, and coordinate their actions to achieve collective goals. The project will involve developing algorithms for agent communication, coordination, and decision-making, and testing the system in scenarios such as traffic management, robotic coordination, and resource allocation. <br></p>Project Overview
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