Agent modelling involves considering how other agents will behave, in order to influence
your own actions. In this paper, we explore the use of agent modelling in the hidden …

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

Similarly to classical planning, in MA-Strips multiagent planning, heuristics significantly
improve efficiency of search-based planners. Heuristics based on solving a relaxation of the …

In multi-agent planning, preserving the agents' privacy has become an increasingly popular
research topic. For preserving the agents' privacy, agents jointly compute a plan that …

Over the last years, the planning community has formalised several models and approaches
to multi-agent (MA) propositional planning. One of the main motivations in MA planning is …

The ability to plan a sequence of action in order to achieve a given goal with respect to the
initial conditions of the world is one of the crucial aspects of intelligence. It is no surprise, that …

Planning is a well known and studied field of Artificial Intelligence. Multi-Agent Planning
concerns the construction of plans for a group of autonomous agents that can interact. The …

In this paper we address the problem of incorporating self-interest agents which have
individual preferences in a cooperative multi-agent planning (MAP) framework. Thus, agents …

Planning is a well known and studied field of Artificial Intelligence. Multi-Agent Planning
concerns the construction of plans for a group of autonomous agents that can interact. The …

The notion of planning using multiple agents has been around since the very beginning of
planning itself. It has been approached from various viewpoints especially in the multiagent …