Multi-agent systems (MAS) are composed of loosely coupled entities (agents) interconnected and organized in a network. Every agent has the ability to solve problems and attain its goals by interacting with each other through collaboration, negotiation, and competition patterns. MAS are increasingly dealing with sensitive data. Therefore, enforcing the notion of reputation, ensuring trust and reliability, is essential for modern MAS. Blockchain (BCT) is a P2P distributed ledger technology providing shared, immutable, transparent, and updatable (append-only) registers of given values characterizing a given network (e.g., all the actions intercurred among the participants and information about the participants themselves). However, employing the BCT ``as-is'' and by itself in dynamic and quickly evolving scenarios can represent an unlucky choice. The reasons span from fundamental properties of BCT, to application/domain specific constraints. Reaching consensus in distributed multi-stakeholder networks with possible unaligned interests can be considerably complex or unsustainable.

Therefore, if properly managed, combining BCT and MAS can represent a win-win solution:
(i) the adoption and adaption of BCT can help to overcome trust and reliability limitations broadly known in MAS literature, enabling secure, autonomous, flexible and even profitable solutions.
(ii) MAS can contribute with its features to address limitations of BCT.

All proposed papers must be submitted in electronic form (PDF format) using the PAAMS conference management system (


Theoretical track:

  • Main properties of blockchain technology
  • Self-aware and smart contracts
  • Reputation management
  • Decision-making for policy
  • Secure identity assurance
  • Security and privacy management
  • Trust and data integrity
  • Procurement
  • Conflict resolution in business collaboration
  • Task allocation, coordination, and supervision
  • Agreement technologies and artificial institutions
  • Big data management in highly distributed environments
  • Anonymization of distributed data

Applied track

  • Distributed energy grids
  • Collaborative governance
  • Distributed Autonomous Organisations (DAO)
  • Distributed artificial intelligence
  • Swarm robotics
  • Coordination models in Internet-of-Things (IoT)
  • E-commerce and demand-supply relationships
  • Software life-cycle management
  • E-government
  • Sharing economy


Organizing Committee

  • Dr. Davide Calvaresi - HES-SO Valais-Wallis (Switzerland)
  • Dr. Alevtina Dubovitskaya - HES-SO Valais-Wallis (Switzerland)
  • Prof. Dr. Michael Schumacher - HES-SO Valais-Wallis (Switzerland)
  • Prof. Andrea Omicini - University of Bologna (Italy)
  • Prof. Sooyong Park - Sogang University (South Korea)

Program Committee

  • Alexander Norta, Tallinn University of Technology, Estonia
  • Sascha Ossowski, University Rey Juan Carlos, Spain
  • Andrea Omicini, Alma Mater Studiorum-Università di Bologna, Italy
  • René Schumann, University of Applied Sciences and Arts Western Switzerland
  • Jean-Paul Calbimonte, University of Applied Sciences and Arts Western Switzerland
  • Stéphane Galland, Université de Technologie de Belfort-Montbéliard
  • Rik Eshuis, Eindhoven University of Technology, the Netherlands
  • Luciano Garcia Banuelos, University of Tartu, Estonia
  • Ingo Weber, CSIRO, Australia
  • Cristina Cabanillas, Vienna University of Economics and Business, Austria
  • Avigdor Gal, Technion - Israel Institute of Technology, Israel
  • Guido Governatori, CSIRO, Australia
  • Munindar P. Singh, North Carolina State University
  • Wil van der Aalst, Eindhoven University of Technology
  • Ermo Täks, Tallinn University of Technology, Estonia
  • Maria Dubovitskaya, Dfinity, Switzerland
  • Fusheng Wang, Stony Brook University, USA
  • Nicola Falcionelli, Università Politecnica delle Marche, Italy
  • Paolo Sernani, Università Politecnica delle Marche, Italy
  • Aldo F Dragoni, Università Politecnica delle Marche, Italy
  • Vijay Sugumara, Oakland University, USA
  • Sun-Tae Kim, Chungbuk National University, South Korea
  • Petr Novotny, IBM T. J. Watson Research Center, USA
  • Elli Androularki, IBM Zurich Research Laboratory, Switzerland


Davide Calvaresi

Alevtina Dubovitskaya