Towards fully observable non-deterministic planning as assumption-based automatic synthesis

Whereas previous work on non-deterministic planning has focused on characterizing (and computing) "loopy" but "closed" plans, we look here at the kind of environments that these plans are to be executed in. In particular, we provide a logical characterization of the standard &quo...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Sardina, S., D'Ippolito, N., Wooldridge M., Yang Q., Alibaba.com; Department of Computer Science and Engineering at Universidad Nacional del Sur; Department of Computer Science at the School of Exact and Natural Sciences of Buenos Aires University; et al.; International Joint Conferences on Artificial Intelligence (IJCAI); Ministry of Science, Technology and Productive Innovation
Formato: CONF
Materias:
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_10450823_v2015-January_n_p3200_Sardina
Aporte de:
id todo:paper_10450823_v2015-January_n_p3200_Sardina
record_format dspace
spelling todo:paper_10450823_v2015-January_n_p3200_Sardina2023-10-03T15:58:19Z Towards fully observable non-deterministic planning as assumption-based automatic synthesis Sardina, S. D'Ippolito, N. Wooldridge M. Yang Q. Alibaba.com; Department of Computer Science and Engineering at Universidad Nacional del Sur; Department of Computer Science at the School of Exact and Natural Sciences of Buenos Aires University; et al.; International Joint Conferences on Artificial Intelligence (IJCAI); Ministry of Science, Technology and Productive Innovation Artificial intelligence Automatic synthesis Correct solution Efficient synthesis Logical characterization Reactive synthesis Synthesis (chemical) Whereas previous work on non-deterministic planning has focused on characterizing (and computing) "loopy" but "closed" plans, we look here at the kind of environments that these plans are to be executed in. In particular, we provide a logical characterization of the standard "fairness" assumption used, and show that strong cyclic plans are correct solution concepts for fair environments. We argue then that such logical characterization allows us to recast non-deterministic planning as a reactive synthesis task, and show that for a special case, recent efficient synthesis techniques can be applied. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_10450823_v2015-January_n_p3200_Sardina
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Artificial intelligence
Automatic synthesis
Correct solution
Efficient synthesis
Logical characterization
Reactive synthesis
Synthesis (chemical)
spellingShingle Artificial intelligence
Automatic synthesis
Correct solution
Efficient synthesis
Logical characterization
Reactive synthesis
Synthesis (chemical)
Sardina, S.
D'Ippolito, N.
Wooldridge M.
Yang Q.
Alibaba.com; Department of Computer Science and Engineering at Universidad Nacional del Sur; Department of Computer Science at the School of Exact and Natural Sciences of Buenos Aires University; et al.; International Joint Conferences on Artificial Intelligence (IJCAI); Ministry of Science, Technology and Productive Innovation
Towards fully observable non-deterministic planning as assumption-based automatic synthesis
topic_facet Artificial intelligence
Automatic synthesis
Correct solution
Efficient synthesis
Logical characterization
Reactive synthesis
Synthesis (chemical)
description Whereas previous work on non-deterministic planning has focused on characterizing (and computing) "loopy" but "closed" plans, we look here at the kind of environments that these plans are to be executed in. In particular, we provide a logical characterization of the standard "fairness" assumption used, and show that strong cyclic plans are correct solution concepts for fair environments. We argue then that such logical characterization allows us to recast non-deterministic planning as a reactive synthesis task, and show that for a special case, recent efficient synthesis techniques can be applied.
format CONF
author Sardina, S.
D'Ippolito, N.
Wooldridge M.
Yang Q.
Alibaba.com; Department of Computer Science and Engineering at Universidad Nacional del Sur; Department of Computer Science at the School of Exact and Natural Sciences of Buenos Aires University; et al.; International Joint Conferences on Artificial Intelligence (IJCAI); Ministry of Science, Technology and Productive Innovation
author_facet Sardina, S.
D'Ippolito, N.
Wooldridge M.
Yang Q.
Alibaba.com; Department of Computer Science and Engineering at Universidad Nacional del Sur; Department of Computer Science at the School of Exact and Natural Sciences of Buenos Aires University; et al.; International Joint Conferences on Artificial Intelligence (IJCAI); Ministry of Science, Technology and Productive Innovation
author_sort Sardina, S.
title Towards fully observable non-deterministic planning as assumption-based automatic synthesis
title_short Towards fully observable non-deterministic planning as assumption-based automatic synthesis
title_full Towards fully observable non-deterministic planning as assumption-based automatic synthesis
title_fullStr Towards fully observable non-deterministic planning as assumption-based automatic synthesis
title_full_unstemmed Towards fully observable non-deterministic planning as assumption-based automatic synthesis
title_sort towards fully observable non-deterministic planning as assumption-based automatic synthesis
url http://hdl.handle.net/20.500.12110/paper_10450823_v2015-January_n_p3200_Sardina
work_keys_str_mv AT sardinas towardsfullyobservablenondeterministicplanningasassumptionbasedautomaticsynthesis
AT dippoliton towardsfullyobservablenondeterministicplanningasassumptionbasedautomaticsynthesis
AT wooldridgem towardsfullyobservablenondeterministicplanningasassumptionbasedautomaticsynthesis
AT yangq towardsfullyobservablenondeterministicplanningasassumptionbasedautomaticsynthesis
AT alibabacomdepartmentofcomputerscienceandengineeringatuniversidadnacionaldelsurdepartmentofcomputerscienceattheschoolofexactandnaturalsciencesofbuenosairesuniversityetalinternationaljointconferencesonartificialintelligenceijcaiministryofsciencetechnologyan towardsfullyobservablenondeterministicplanningasassumptionbasedautomaticsynthesis
_version_ 1807314671156330496