Cooperative multi-agent planning (MAP) is a relatively recent research field that combines
technologies, algorithms, and techniques developed by the Artificial Intelligence Planning …

This paper proposes FMAP (Forward Multi-Agent Planning), a fully-distributed multi-agent
planning method that integrates planning and coordination. Although FMAP is specifically …

In many cases several entities, such as commercial companies, need to work together
towards the achievement of joint goals, while hiding certain private information. To …

A system is context-aware if it can extract, interpret and use context information and adapt its
functionality to the current context of use. Multi-agent planning generalizes the problem of …

In this work, we propose a new distributed, dynamic, and recursive planning approach able
to consider the hierarchical nature of the holonic agent and the unpredictable evolution of its …

Multi-agent planning (MAP) deals with planning systems that reason on long-term goals by
multiple collaborative agents which want to maintain privacy on their knowledge. Recently …

Abstract Multi-Agent Planning deals with the task of generating a plan for/by a set of agents
that jointly solve a planning problem. One of the biggest challenges is how to handle …

When self-interested agents plan individually, interactions that prevent them from executing
their actions as planned may arise. In these coordination problems, game-theoretic planning …

In this paper, we suggest a domain independent approach, MAPJA, to solve multi-agent
planning problems with cooperative goals involving joint actions. We consider the capability …

The increase in robotic capabilities and the number of such systems being used has
resulted in opportunities for robots to work alongside humans in an increasing number of …