Call for Paper of BCT4MAS 2020
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.
In particular, the submitted papers should address how MAS and BCT can be used together in one or more of the following (scientific and applied) topics:
Topics of BCT4MAS 2020
Main properties of blockchain technology
Self-aware and smart contracts
Decision-making for policy
Secure identity assurance
Security and privacy management
Trust and data integrity
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
Trustworthy collective intelligence on the internet
Incentives and fairness of blockchain systems
Self-regulated multi-agent systems
Distributed energy grids
Distributed Autonomous Organisations (DAO)
Distributed artificial intelligence
Coordination models in Internet-of-Things (IoT)
E-commerce and demand-supply relationships
Software life-cycle management
Blockchain and Industry 4.0
Decentralized business models for agents
Blockchain for networked systems and IoT
Autonomous cyber-physical systems
Trustworthy agent -- human interaction