Self-Organizing Multi-Agent Systems

In this thesis I research the ability of groups of agents to organize their collective behavior, without any human intervention. Using a framework for gathering information of the behavior, analyzing the performance, and updating the behavior, the agents can adapt to changing environments or user requirements. In my thesis I use different...

Agent-based distributed planning and coordination for resilient airport surface movement operations

Airport surface movement operations are complex processes with many types of adverse events which require resilient, safe, and efficient responses. One regularly occurring adverse event is that of runway reconfiguration. Agent-based distributed planning and coordination has shown promising results in controlling operations in complex systems,...

A Formal Graphical Language of Interdependence in Teamwork

Agents in teamwork may be highly interdependent on each other, the awareness of interdependence relationships is an important requirement for designing and consequently implementing a multi-agent system. In this work, we propose a formal graphical and domain-independent language that can facilitate the identification of comprehensive...

Decentralized Reinforcement Learning of robot behaviors

A multi-agent methodology is proposed for Decentralized Reinforcement Learning (DRL) of individual behaviors in problems where multi-dimensional action spaces are involved. When using this methodology, sub-tasks are learned in parallel by individual agents working toward a common goal. In addition to proposing this methodology, three specific...