Answer set planning: a survey
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 …
that is, solutions to planning problems, that transform a given state of the world to another …
Research challenges in orchestration synthesis
Contract automata allow to formally define the behaviour of service contracts in terms of
service offers and requests, some of which are moreover optional and some of which are …
service offers and requests, some of which are moreover optional and some of which are …
FOND planning for pure-past linear temporal logic goals
Abstract Recently, Pure-Past Temporal Logic (PPLTL) has proven highly effective in
specifying temporally extended goals in deterministic planning domains. In this paper, we …
specifying temporally extended goals in deterministic planning domains. In this paper, we …
A toolchain for strategy synthesis with spatial properties
We present an application of strategy synthesis to enforce spatial properties. This is
achieved by implementing a toolchain that enables the tools CATLib and VoxLogicA to …
achieved by implementing a toolchain that enables the tools CATLib and VoxLogicA to …
Synthesizing best-effort strategies under multiple environment specifications
We formally introduce and solve the synthesis problem for LTL goals in the case of multiple,
even contradicting, assumptions about the environment. Our solution concept is based …
even contradicting, assumptions about the environment. Our solution concept is based …
Qualitative numeric planning: Reductions and complexity
Qualitative numerical planning is classical planning extended with non-negative real
variables that can be increased or decreased" qualitatively", ie, by positive indeterminate …
variables that can be increased or decreased" qualitatively", ie, by positive indeterminate …
[PDF][PDF] Strong Fully Observable Non-Deterministic Planning with LTL and LTLf Goals.
We are concerned with the synthesis of strategies for sequential decision-making in
nondeterministic dynamical environments where the objective is to satisfy a prescribed …
nondeterministic dynamical environments where the objective is to satisfy a prescribed …
Two-stage technique for LTLf synthesis under LTL assumptions
In synthesis, assumption are constraints on the environments that rule out certain
environment behaviors. A key observation is that even if we consider system with LTLf goals …
environment behaviors. A key observation is that even if we consider system with LTLf goals …
Planning for temporally extended goals in pure-past linear temporal logic: A polynomial reduction to standard planning
We study temporally extended goals expressed in Pure-Past LTL (PPLTL). PPLTL is
particularly interesting for expressing goals since it allows to express sophisticated tasks as …
particularly interesting for expressing goals since it allows to express sophisticated tasks as …
Shield Synthesis for LTL Modulo Theories
In recent years, Machine Learning (ML) models have achieved remarkable success in
various domains. However, these models also tend to demonstrate unsafe behaviors …
various domains. However, these models also tend to demonstrate unsafe behaviors …