Conference Theme

The advances in the Internet and its technologies make it possible for geographically dispersed entities like mobile devices, sensor and IoT devices, and software agents to interact. These entities offer numerous services to similar entities and varied objects like end-users, organizations, businesses, etc., available at the Internet edge. In the new computing paradigm, these entities are autonomous decision-makers (likely self-interested) who work together for their owners in a centralized or decentralized fashion. The self-interested entities work for their respective owners to obtain individual goals. These individual goals may be opposite to socially desirable in a decentralized setting and may be of a central planner in a centralized setting. Therefore, it is important to model and analyze the interactions of multiple self-interested entities and provide design solutions to achieve system optima.

In computer science, the tools like game theory or mechanism design are widely used to model the interaction of strategic entities and design incentive schemes to improve the system’s performance. In fact, game theory has emerged as a building block of technologies like Blockchain, Federated learning, and Internet-of-Things. Therefore, it is much needed to understand, analyze, and explore modeling incentives in these computing applications to achieve the success of the new computing paradigm. The conference focuses on the intersection of computer science, game theory, economics, and technology.