Planning is a fundamental issue in multi-agent systems. In this work we focus on the
coordination of multiple agents in two different settings. In the first, agents are able to attain …

The ability to decompose a problem into manageable sub-components is a necessity in
complex problem-solving tasks. In planning, the application of a divide-and-conquer …

Many software applications are now built from services which run on heterogeneous
platforms and are accessed by several users. These environments are in constant evolution …

In this paper, we introduce a generic and fresh model for distributed planning called"
Distributed Planning Through Graph Merging''(DPGM). This model unifies the different steps …

Privacy is often cited as the main reason to adopt a multiagent approach for a certain
problem. This also holds true for multiagent planning. Still, a metric to evaluate the privacy …

Internet of Things (IoT) interconnects billions of smart sensors, devices, actuators, as well as
people, over a distributed environment. To make further use of these things towards a better …

Models of plan formation by teams of autonomous, social agents are of interest in the
application of multi-agent systems in both engineering and commerce. A team of agents may …

Multi-agent planning is a core issue in the multi-agent systems field. In this work we focus on
the coordination of multiple agents in a setting where agents are able to achieve individual …

This dissertation extends the framework of the 0-approximation to handle domains with static
causal laws. It is divided into three parts. In the first part, we present a sufficient condition for …

Multi-agent planning is an important task in the domain of Artificial Intelligence that poses a
number of challenges. Firstly, there must be no conflict (negative interactions) among the …