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Home > Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32

Synthesis of Orchestrations of Transducers for Manufacturing

March 15, 2023

Authors

Giuseppe De Giacomo

Sapienza Universita di Roma


Moshe Vardi

Rice University


Paolo Felli

University of Bozen-Bolzano


Natasha Alechina

University of Nottingham


Brian Logan

University of Nottingham


Published:

2018-02-08

Proceedings:

Proceedings of the AAAI Conference on Artificial Intelligence, 32

Volume

Issue:

Thirty-Second AAAI Conference on Artificial Intelligence 2018

Track:

Main Track: Planning and Scheduling

Downloads:

Download PDF

Abstract:

In this paper, we model manufacturing processes and facilities as transducers (automata with output). The problem of whether a given manufacturing process can be realized by a given set of manufacturing resources can then be stated as an orchestration problem for transducers. We first consider the conceptually simpler case of uni-transducers (transducers with a single input and a single output port), and show that synthesizing orchestrations for uni-transducers is EXPTIME-complete. Surprisingly, the complexity remains the same for the more expressive multi-transducer case, where transducers have multiple input and output ports and the orchestration is in charge of dynamically connecting ports during execution.

DOI:

10.1609/aaai.v32i1.12094


AAAI

Thirty-Second AAAI Conference on Artificial Intelligence 2018


ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)


Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Topics: AAAI

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