Dealing with Failures for Execution Consistency in Context-aware Systems | Zendy

AhmedChawki Chaouche | Zendy; JeanMichel Ilié | Zendy; François Pêcheux | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Dealing with Failures for Execution Consistency in Context-aware Systems

Author(s) -

AhmedChawki Chaouche,

JeanMichel Ilié,

François Pêcheux

Publication year - 2020

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2020.10.030

Subject(s) - computer science , relevance (law) , concurrency , consistency (knowledge bases) , context (archaeology) , human–computer interaction , artificial intelligence , distributed computing , paleontology , political science , law , biology

In this paper, we consider a symbolic mechanism designed to help guide the performance of actions of a Belief-Desire-Intention (BDI) agent under both concurrency and relevance criteria. Behind the planning activity which can optimistically estimate the relevance of traces, we propose to directly supervise the best effort execution of the intentions as to keep track of the most relevant ones in case of failures. To support the presented method, a typical use case is given that targets the automated guidance of an autonomous vehicle.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research