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

Answer Set Planning refers to the use of Answer Set Programming (ASP) to compute plans,
that is, solutions to planning problems, that transform a given state of the world to another …

Abstract The openness of Mobile Edge Computing (MEC) networks makes them vulnerable
to interference attacks by malicious jammers, which endangers the communication quality of …

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

This paper deals with the problem of classical planning for multiple cooperative agents who
have private information about their local state and capabilities they do not want to reveal …

The increasing number of satellites for specific space missions is hindering efficient control
from the ground stations. In addition, the risk of failing or deteriorating elements in a multi …

There is increasing awareness in the planning community that depending on complete
models impedes the applicability of planning technology in many real world domains where …

Software agent technology has been intensively explored in the past three decades. It is
explicitly or implicitly applied in many systems. Software agent research covers a wide range …

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 …

We consider cognitive factories with multiple teams of heterogenous robots, and address
two key challenges of these domains, hybrid reasoning for each team and finding an optimal …