loading
Papers

Research.Publish.Connect.

Paper

Authors: Davide Calvaresi 1 ; Kevin Appoggetti 2 ; Luca Lustrissimi 2 ; Mauro Marinoni 3 ; Paolo Sernani 2 ; Aldo F. Dragoni 2 and Michael Schumacher 4

Affiliations: 1 Scuola Superiore Sant'Anna and University of Applied Sciences Western Switzerland, Italy ; 2 Università Politecnica delle Marche, Italy ; 3 Scuola Superiore Sant'Anna, Italy ; 4 University of Applied Sciences Western Switzerland, Switzerland

ISBN: 978-989-758-275-2

Keyword(s): Software Engineering, Negotiation, Multi-Agent Systems, Cyber-Physical Systems, Real-Time Systems.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Negotiation and Interaction Protocols ; Software Engineering ; Symbolic Systems

Abstract: Cyber Physical Systems (CPS) require a multitude of components interacting among themselves and with the users to perform automatic actions, usually under unpredictable or uncertain conditions. Multi-Agent Systems (MAS) have emerged over the years as one of the major technological paradigms regulating interactions and negotiations among autonomous entities running under heterogeneous conditions. As such, MAS have the potential to support CPS in implementing a highly reconfigurable distributed thinking. However, some gaps are still present between MAS’ features and the strict requirements of CPS. The most relevant is the lack of reliability, which is mainly due to specific features characterizing negotiation protocols. This paper presents a systematic literature review of MAS negotiation protocols aiming at providing a comprehensive overview of their strengths and limitations, examining both the assumptions and requirements set during their development. While this work confirms the pot ential of MAS in regulating the interactions among CPS components, the findings also highlight the absence of real-time compliance in current negotiation protocols. Strongly characterizing CPS, the capability to face strict time constraints could bridge the gap between MAS and CPS. (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 35.172.195.49

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:
Calvaresi, D.; Appoggetti, K.; Lustrissimi, L.; Marinoni, M.; Sernani, P.; Dragoni, A. and Schumacher, M. (2018). Multi-Agent Systems' Negotiation Protocols for Cyber-Physical Systems: Results from a Systematic Literature Review.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-275-2, pages 224-235. DOI: 10.5220/0006594802240235

@conference{icaart18,
author={Davide Calvaresi. and Kevin Appoggetti. and Luca Lustrissimi. and Mauro Marinoni. and Paolo Sernani. and Aldo F. Dragoni. and Michael Schumacher.},
title={Multi-Agent Systems' Negotiation Protocols for Cyber-Physical Systems: Results from a Systematic Literature Review},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2018},
pages={224-235},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006594802240235},
isbn={978-989-758-275-2},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Multi-Agent Systems' Negotiation Protocols for Cyber-Physical Systems: Results from a Systematic Literature Review
SN - 978-989-758-275-2
AU - Calvaresi, D.
AU - Appoggetti, K.
AU - Lustrissimi, L.
AU - Marinoni, M.
AU - Sernani, P.
AU - Dragoni, A.
AU - Schumacher, M.
PY - 2018
SP - 224
EP - 235
DO - 10.5220/0006594802240235

Login or register to post comments.

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