loading
Papers

Research.Publish.Connect.

Paper

Authors: Matteo Zavatteri 1 and Luca Viganò 2

Affiliations: 1 University of Verona, Italy ; 2 King's College London, United Kingdom

ISBN: 978-989-758-275-2

Keyword(s): Constraint Networks, Conditional Uncertainty, Controllability, Resource Scheduling, AI-based Security, CNCU.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Constraint Satisfaction ; Formal Methods ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Planning and Scheduling ; Simulation and Modeling ; Symbolic Systems ; Uncertainty in AI

Abstract: Constraint Networks (CNs) are a framework to model the constraint satisfaction problem (CSP), which is the problem of finding an assignment of values to a set of variables satisfying a set of given constraints. Therefore, CSP is a satisfiability problem. When the CSP turns conditional, consistency analysis extends to finding also an assignment to these conditions such that the relevant part of the initial CN is consistent. However, CNs fail to model CSPs expressing an uncontrollable conditional part (i.e., a conditional part that cannot be decided but merely observed as it occurs). To bridge this gap, in this paper we propose constraint networks under conditional uncertainty (CNCUs), and we define weak, strong and dynamic controllability of a CNCU. We provide algorithms to check each of these types of controllability and discuss how to synthesize (dynamic) execution strategies that drive the execution of a CNCU saying which value to assign to which variable depending on how t he uncontrollable part behaves. We benchmark the approach by using ZETA, a tool that we developed for CNCUs. What we propose is fully automated from analysis to simulation. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.210.23.15

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Zavatteri, M. and Viganò, L. (2018). Constraint Networks Under Conditional Uncertainty.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-275-2, pages 41-52. DOI: 10.5220/0006553400410052

@conference{icaart18,
author={Matteo Zavatteri. and Luca Viganò.},
title={Constraint Networks Under Conditional Uncertainty},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2018},
pages={41-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006553400410052},
isbn={978-989-758-275-2},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Constraint Networks Under Conditional Uncertainty
SN - 978-989-758-275-2
AU - Zavatteri, M.
AU - Viganò, L.
PY - 2018
SP - 41
EP - 52
DO - 10.5220/0006553400410052

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.