Domain-Expert Configuration of Hypermedia Multi-Agent Systems in Industrial Use Cases

Based on the analysis of two real-world use cases for agriculture and
manufacturing, we suggest that Hypermedia Multi-Agent Systems
(MAS) are a viable option to interconnect and coordinate devices,
services, machine-learning systems, and people in industrial scenarios.
We propose and implement an architecture based on three
components: an infrastructure that manages Web of Things environments
and executes Hypermedia MAS, a visual development
environment for programming agents, and a goal specification interface
for end-users. While the infrastructure manages information
flows between the system components and provides an environment
for agents, the visual language enables domain experts to
configure the behaviour of the system leveraging agent-oriented
programming abstractions both at design time and run time, and
the goal specification interface permits users to delegate goals to
the running Hypermedia MAS while re-using domain vocabulary.