Search Results for author: Sebastian Sardina

Found 8 papers, 1 papers with code

Flexible FOND Planning with Explicit Fairness Assumptions

1 code implementation15 Mar 2021 Ivan D. Rodriguez, Blai Bonet, Sebastian Sardina, Hector Geffner

The infinite trajectories that violate this condition are deemed as unfair, and the solutions are policies for which all the fair trajectories reach a goal state.

Fairness

Multi-tier Automated Planning for Adaptive Behavior (Extended Version)

no code implementations27 Feb 2020 Daniel Ciolek, Nicolás D'Ippolito, Alberto Pozanco, Sebastian Sardina

A planning domain, as any model, is never complete and inevitably makes assumptions on the environment's dynamic.

Fairness

Situation Calculus for Synthesis of Manufacturing Controllers

no code implementations12 Jul 2018 Giuseppe De Giacomo, Brian Logan, Paolo Felli, Fabio Patrizi, Sebastian Sardina

Manufacturing is transitioning from a mass production model to a manufacturing as a service model in which manufacturing facilities 'bid' to produce products.

Phase transition in the knapsack problem

no code implementations26 Jun 2018 Nitin Yadav, Carsten Murawski, Sebastian Sardina, Peter Bossaerts

We examine the phase transition phenomenon for the Knapsack problem from both a computational and a human perspective.

Addendum to: Summary Information for Reasoning About Hierarchical Plans

no code implementations9 Aug 2017 Lavindra de Silva, Sebastian Sardina, Lin Padgham

Hierarchically structured agent plans are important for efficient planning and acting, and they also serve (among other things) to produce "richer" classical plans, composed not just of a sequence of primitive actions, but also "abstract" ones representing the supplied hierarchies.

Path planning with Inventory-driven Jump-Point-Search

no code implementations4 Jul 2016 Davide Aversa, Sebastian Sardina, Stavros Vassos

In many navigational domains the traversability of cells is conditioned on the path taken.

Supervisory Control for Behavior Composition

no code implementations29 Apr 2016 Paolo Felli, Nitin Yadav, Sebastian Sardina

We relate behavior composition, a synthesis task studied in AI, to supervisory control theory from the discrete event systems field.

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