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 …

Epistemic planning is the enrichment of automated planning with epistemic notions such as
knowledge and belief. In general, single-agent epistemic planning considers the following …

Many AI applications involve the interaction of multiple autonomous agents, requiring those
agents to reason about their own beliefs, as well as those of other agents. However …

The goal of this paper is to investigate an action language, called m A⁎, for representing
and reasoning about actions and change in multi-agent domains. The language, as …

In recent years, multi-agent epistemic planning has received attention from both dynamic
logic and planning communities. Existing implementations of multi-agent epistemic planning …

Multi-agent systems have been employed to model, simulate and explore a variety of real-
world scenarios. It is becoming more and more important to investigate formalisms and tools …

This paper presents two prototypical epistemic forward planners, called EFP and PG-EFP,
for generating plans in multi-agent environments. These planners differ from recently …

Earlier epistemic planning systems for multi-agent domains generate plans that contain
various types of actions such as ontic, sensing, or announcement actions. However, none of …

In multi-agent domains (MADs), an agent's action may not just change the world and the
agent's knowledge and beliefs about the world, but also may change other agents' …

In this paper, we present a novel approach to epistemic planning called planning with
perspectives (PWP) that is both more expressive and computationally more efficient than …