GasMASk Annotation-based Code Generator as an Embedded Domain-Specific Language in Collaborative Multi-Agent Systems

Multi-agent systems have evolved with their application framework, analysis approaches and design complexities over the past few decades. In order for programming software agents, you need to handle analysis, design and implementation together; furthermore, privacy and trust should be integrated externally into the agent-oriented applications. Current frameworks do not consider privacy, trust, and data integrity in agent applications. In this study, we propose a domain-specific language that can be used for agent behaviors that consist of roles, organizational entity, goals through annotation processing with templates. Smart contracts can be generated to decrease the time for deployment and development stages. Templates and annotations are popular techniques to reduce boilerplate codebases from agent-oriented programming. These techniques can also be used for model-driven software engineering. This study will take the software agent development as a whole with analysis, design, and development with embedded domain-specific language development in terms of smart contract applications. Furthermore, we would like to refer to methodology, results of the research, and case study to enlighten readers in a better way. Finally, we summarize findings and highlight the main research points by inferencing in the conclusion section.

Political Risks and Blockchain: Definitions and Possible Case Examples

The present research article shall outline how blockchain solutions could be combined with insurance solutions against political risks (PRI). Through the definitions and the characterization of the key concepts of traditional insurance law and blockchain technology using possible case examples of specific political risks, it will be shown, how the insurance coverage of political risks could be achieved through smart insurance contracts or other blockchain solutions in the future.