Land-use planning has triggered debates on social and environmental values, in which two key questions will be faced: one is how to see different planning simulation results instantaneously and apply the results back to interactively assist planning work; the other is how to ensure that the planning simulation result is scientific and accurate. To answer these questions, the objective of this p...

Considerable work has focused on enhancing the semantics of Hierarchical Task Networks (HTNs) in order to advance the state-of-the-art in hierarchical planning. For instance, the Hierarchical Goal Network (HGN) formalism operates over a hierarchy of goals to facilitate tighter integration of decompositional planning with classical planning. Another example is the Action Notation Markup Language...

In Italy, after the introduction of Code Cultural Heritage and Landscape in 2004, Regional Plan (RLP) has acquired a coordination role urban planning system, for implementation policies landscape protection valorisation. The case study RLP Sardinia is paradigmatic application to coastal area island, which considered most vulnerable subject settlement pressure. objectives preservation valorisati...

Temporal planning has seen many advances in the last several years, as shown by the temporal track in International Planning Competition. However, the analysis in (Cushing et al., ICAPS 2007) shows that most of the domains used in the competition are inherently sequential and do not require concurrency. In addition, many of the winning planners did not really perform temporal planning and there...

Human-like path planning is still a challenging task for automated vehicles. Imitation learning can teach these vehicles to learn planning from human demonstration. In this work, we propose to formulate the planning stage as a convolutional neural network (CNN). Thus, we can employ well established CNN techniques to learn planning from imitation. With the proposed method, we train a network for...

Wind and solar generators differ from conventional generators in their generation characteristics. The variable output and imperfect predictability of these generators face a stochastic approach to plan and operate the power system without fundamentally changing the operation and planning problems. This paper overviews stochastic modeling challenges in operations, generation planning, and trans...

Planning as satisfiability is an efficient technique for classical planning. In previous work by the second author, this approach has been extended to conformant planning, that is, to planning domains having incomplete information about the initial state and/or the effects of actions. In this paper we present some domain independent optimizations to the basic procedure described in the previous...