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BCT4MAS 2019 : Second International Workshop on Blockchain Technologies for Multi-Agent Systems


When Jun 26, 2019 - Jun 28, 2019
Where Avila, Spain
Submission Deadline Mar 24, 2019
Notification Due Mar 27, 2019
Final Version Due Apr 5, 2019
Categories    multi-agent system   blockchain technology   reputation   distributed system

Call For Papers


In conjunction with PAAMS 2019

2nd International Workshop on
Blockchain Technologies for Multi-Agent Systems
--- BCT4MAS 2019 ---

Avila, Spain -- June 26-28 2019

- Deadline for Submission: 24 March 2019
- Notification of Acceptance: 27 April 2019
- Camera-ready: 05 April 2019
- Workshop day: 26-28 June 2019

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.

Human beings are increasingly connected through uncountable interlinked electronic devices that perform ubiquitous computing. As a consequence, scientific research is pushing towards the design and development of autonomous and collaborative systems and devices that interact and compete with each other, often emulating humankind dynamics.
Multi-Agent Systems (MAS) are widely used for the development of intelligent distributed systems, including cases that deal with highly sensitive data, such as ambient assisted living, healthcare, and energy trading. An agent can be rationalized as an autonomous entity observing its surrounding environment through a perception layer, and possibly interacting with it, as well as with other agents. These intelligent agents are also able to perform distributed reasoning exploiting their knowledge base. It can be extended and updated, thus renewing their plans to achieve the desired goals. In MAS, a solution to given problem to be solved is delivered through autonomous actions and interactions between many agents rather than by any single “smart” agent. Hence, MAS are generally composed of loosely coupled agents interconnected and organized in a network, each of them having the ability to solve problems and attain its goals by interacting with each other through collaboration, negotiation, and competition patterns.
Recently, BCT has been proposed as a peer-to-peer distributed ledger technology that can provide a shared, immutable, and transparent history of all the events intercurred among all the participants in a given network. Currently, MAS require trusted mediators storing the transactions among the agents. These mediators can be replaced with a distributed ledger technology: BCT properties can ensure that no corruption of topics or moderators would impact on the reliability of the network.
For example, systems handling societal information and dealing with hundreds/thousands of nodes to manage sensitive information can benefit from the combination of MAS and BCT. Such systems need the crucial feature guaranteed by MAS, as much the traceability and immutability ensured by the BCT.
This workshop aims at offering a common ground to researchers from diverse areas to share experiences about possible outcomes of combining MAS and BCT.

Participants are invited to submit papers on all research and application aspects of BCT4MAS, including, but not limited to:

- 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

Participants are invited to submit SHORT papers (up to 8 pages) and FULL paper (from 8 up to 12 pages) in length, addressing the topics of the workshop.

Accepted papers, presented at the workshop by one of the authors, will be published in the LNAI Proceedings of PAAMS (with an ISBN).
Quality, relevance, and originality will impact the acceptance of the submitted papers. Either full research reports, work-in-progress reports, and literature reviews are all welcome.

Papers must be edited using the LNCS format:

and be submitted electronically as PDF files via EasyChair at:

Papers will be reviewed by at least three PC members. If a paper is accepted, at least one author must register for the workshop and present the paper at the workshop in person.

Dr. Davide Calvaresi -- University of Applied Science Western Switzerland, Switzerland.
Prof. Dr. Michael Schumacher -- University of Applied Science Western Switzerland, Switzerland.
Prof. Dr. Andrea Omicini -- University of Bologna
Dr. Alevtina Dubovitskaya -- University of Applied Science Western Switzerland, Switzerland.
Prof. Sooyong Park -- Sogang University (South Korea)

Amro Najjar, Umea University, Swedend
Timotheus Kampik, Umea University, Swedend

Alexander Norta, Tallinn University of Technology, Estonia
Sascha Ossowski, University Rey Juan Carlos, Spain
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, France
Rik Eshuis, Eindhoven University of Technology, the Netherlands
Luciano Garcia Banuelos, University of Tartu, Estonia
Ingo Weber, CSIRO, Australia
Claudio Di Ciccio 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, USA
Ermo Täks, Tallinn University of Technology, Estonia
Maria Dubovitskaya, IBM Research, 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
Amro Najjar, UMEA University, Sweden
Yazan Mualla, Université de Technologie de Belfort-Montbéliard, France
Olivier Boissier, Ecole des Mines de Saint-Etienne, France

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