Skip to main content
SpringerLink
Log in

Managing Bad AIPs with RIVERtools

  • Conference paper
  • First Online:
Book cover Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection (PAAMS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10978))

Abstract

We present the RIVERtools integrated development environment for specifying Agent Interaction Protocols (AIPs) modelled as trace expressions, and for statically verifying some of their properties. In particular, this demonstration paper aims at showing why a “good” AIP can become a “bad” one because of unreliability of some communication channels, and how RIVERtools can cope with such bad AIPs, suggesting to the developer possible ways to dynamically verify them in a partially decentralized way.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    To be more general, trace expressions are built on top of event types (chosen from a set \({\mathcal {ET}}\)), rather than of single events; an event type denotes a subset of \(\mathcal {E}\).

References

  1. Ancona, D., Briola, D., Ferrando, A., Mascardi, V.: Global protocols as first class entities for self-adaptive agents. In: AAMAS 2015, pp. 1019–1029. ACM (2015)

    Google Scholar 

  2. Ancona, D., Ferrando, A., Franceschini, L., Mascardi, V.: Coping with bad agent interaction protocols when monitoring partially observable multiagent systems. In: PAAMS 2018 (2018)

    Google Scholar 

  3. Ancona, D., Ferrando, A., Mascardi, V.: Comparing trace expressions and linear temporal logic for runtime verification. In: TPFM 2016. Springer (2016)

    Google Scholar 

  4. Ancona, D., Ferrando, A., Mascardi, V.: Parametric runtime verification of multiagent systems. In: AAMAS 2017, pp. 1457–1459. ACM (2017)

    Google Scholar 

  5. Ferrando, A.: RIVERtools: an IDE for RuntIme VERification of MASs, and beyond. In: PRIMA Demo Track 2017 (2017)

    Google Scholar 

  6. Ferrando, A., Ancona, D., Mascardi, V.: Decentralizing MAS monitoring with DecAMon. In: AAMAS 2017, pp. 239–248. ACM (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Università degli Studi di Genova, Genoa, Italy

    Davide Ancona, Angelo Ferrando, Luca Franceschini & Viviana Mascardi

Authors
  1. Davide Ancona
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Angelo Ferrando
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Luca Franceschini
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Viviana Mascardi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Viviana Mascardi .

Editor information

Editors and Affiliations

  1. Centre National de la Recherche Scientifique, Grenoble, France

    Yves Demazeau

  2. Nanyang Technological University, Singapore, Singapore

    Bo An

  3. Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  4. Universidad de Castilla La Mancha, Albacete, Spain

    Antonio Fernández-Caballero

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ancona, D., Ferrando, A., Franceschini, L., Mascardi, V. (2018). Managing Bad AIPs with RIVERtools. In: Demazeau, Y., An, B., Bajo, J., Fernández-Caballero, A. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Lecture Notes in Computer Science(), vol 10978. Springer, Cham. https://doi.org/10.1007/978-3-319-94580-4_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-94580-4_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94579-8

  • Online ISBN: 978-3-319-94580-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation