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

Liste der Autoren Page 1 Liste der Autoren Clemens Beckstein Gerhard Brewka Christian
Borgelt Wolfram Burgard Hans-Dieter Burkhard Stephan Busemann Thomas Christaller Leonie …

Real world applications often require cooperation of multiple independent entities. Classical
planning is a well established technique solving various challenging problems such as …

The complexity of multi-robot systems (MRS) involves the challenging task of robot
coordination to achieve the system's goal. That indicates the necessity to integrate …

Multi-agent planning using MA-STRIPS-related models is often motivated by the
preservation of private information. Such motivation is not only natural for multi-agent …

Agents operating in a multi-agent environment must consider not just their actions, but also
those of the other agents in the system. Artificial social systems are a well-known means for …

It is widely known that AI planning and model checking are closely related. Compilations
have been devised between various pairs of language fragments. What has barely been …

Privacy preservation has become one of the crucial research topics in multi-agent planning.
A number of techniques to preserve private information throughout the planning process …

Several multi-agent techniques are utilized to reduce the complexity of classical planning
tasks, however, their applicability to temporal planning domains is a currently open line of …

Multi-agent systems is an evolving discipline that encompasses many different branches of
research. The long-standing Agents at Aberdeen (A 3) group undertakes research across …