Governance of Autonomous Agents on the Web: Challenges and Opportunities
This addresses governance issues for autonomous agents on the Web, which is incremental as it builds on existing research without introducing new methods or data.
The paper tackles the lack of first-class abstractions for norms, policies, and preferences in Web-based multiagent systems, proposing a conceptual framework and identifying research challenges and opportunities to align communities like Multiagent Systems, Semantic Web, and Web of Things.
The study of autonomous agents has a long tradition in the Multiagent Systems and the Semantic Web communities, with applications ranging from automating business processes to personal assistants. More recently, the Web of Things (WoT), which is an extension of the Internet of Things (IoT) with metadata expressed in Web standards, and its community provide further motivation for pushing the autonomous agents research agenda forward. Although representing and reasoning about norms, policies and preferences is crucial to ensuring that autonomous agents act in a manner that satisfies stakeholder requirements, normative concepts, policies and preferences have yet to be considered as first-class abstractions in Web-based multiagent systems. Towards this end, this paper motivates the need for alignment and joint research across the Multiagent Systems, Semantic Web, and WoT communities, introduces a conceptual framework for governance of autonomous agents on the Web, and identifies several research challenges and opportunities.