As the interest in Artificial Intelligence continues to grow it is becoming
more and more important to investigate formalization and tools that allow us to
exploit logic to reason about the world. In particular, given the increasing
number of multi-agents systems that could benefit from techniques of automated
reasoning, exploring new ways to define not only the world's status but also
the agents' information is constantly growing in importance. This type of
reasoning, i.e., about agents' perception of the world and also about agents'
knowledge of her and others' knowledge, is referred to as epistemic reasoning.
In our work we will try to formalize this concept, expressed through
epistemic logic, for dynamic domains. In particular we will attempt to define a
new action-based language for multi-agent epistemic planning and to implement
an epistemic planner based on it. This solver should provide a tool flexible
enough to be able to reason on different domains, e.g., economy, security,
justice and politics, where reasoning about others' beliefs could lead to
winning strategies or help in changing a group of agents' view of the world.Comment: In Proceedings ICLP 2019, arXiv:1909.07646. arXiv admin note: text
overlap with arXiv:1511.01960 by other author
