Skip to Main Content (Press Enter)

Logo UNITO
  • ×
  • Home
  • Pubblicazioni
  • Progetti
  • Persone
  • Competenze
  • Settori
  • Strutture
  • Terza Missione

UNI-FIND
Logo UNITO

|

UNI-FIND

unito.it
  • ×
  • Home
  • Pubblicazioni
  • Progetti
  • Persone
  • Competenze
  • Settori
  • Strutture
  • Terza Missione
  1. Pubblicazioni

Accountability and Responsibility in Multiagent Organizations for Engineering Business Processes

Contributo in Atti di convegno
Data di Pubblicazione:
2020
Abstract:
Business processes realize a business goal by coordinating the tasks undertaken by multiple interacting parties. Given such a distributed nature, Multiagent Organizations (MAO) are a promising paradigm for conceptualizing and implementing business processes. Yet, MAO still lack of a systematic method for reporting to the right agents feedback about success or failure of a task. We claim that an explicit representation of accountability and responsibility assumptions provides the right abstractions to engineer MAO for supporting the execution of business processes. Basing our programming approach on MAO, we present two accountability patterns for developing accountable agents. To illustrate this approach we use the JaCaMo multi-agent programming platform.
Tipologia CRIS:
04A-Conference paper in volume
Elenco autori:
Matteo Baldoni, Cristina Baroglio, Olivier Boissier, Roberto Micalizio, Stefano Tedeschi
Autori di Ateneo:
BALDONI Matteo
BAROGLIO Cristina
MICALIZIO Roberto
Link alla scheda completa:
https://iris.unito.it/handle/2318/1762728
Titolo del libro:
Engineering Multi-Agent Systems, 7th International Workshop, EMAS 2019, Montreal, QC, Canada, May 13–14, 2019, Revised Selected Papers
Pubblicato in:
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Journal
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Series
  • Dati Generali

Dati Generali

URL

https://doi.org/10.1007/978-3-030-51417-4_1
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 25.6.1.0