Generalized planning studies the representation, computation and evaluation of solutions
that are valid for multiple planning instances. These are topics studied since the early days …

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 …

We consider the problem of belief tracking in a planning setting where states are valuations
over a set of variables that are partially observable, and beliefs stand for the sets of states …

Research in automated planning provides novel insights into service composition and
contributes towards the provision of automatic compositions which adapt to changing user …

In this work, we propose a new distributed, dynamic, and recursive planning approach able
to consider the hierarchical nature of the holonic agent and the unpredictable evolution of its …

We propose a new method for conformant planning based on two ideas. First given a small
sample of the initial belief state we reduce conformant planning for this sample to a classical …

We introduce cpces, a novel planner for the problem of deterministic conformant planning.
cpces solves the problem by producing candidate plans based on a sample of the initial …

Acting in robotics is driven by reactive and deliberative reasonings which take place in the
competition between execution and planning processes. Properly balancing reactivity and …

Partially observable Markov decision processes (POMDP) are a useful model for decision-
making under partial observability and stochastic actions. Partially Observable Monte-Carlo …

This paper proposes a generic approach to planning in the presence of incomplete
information. The approach builds on an abstract notion of a belief state representation, along …