Jérémy Lemee
Thumbnail Image
Last Name
Lemee
First name
Jérémy
Email
jeremy.lemee@unisg.ch
Phone
+41 71 224 27 63

Filters

3
Reset filters

Settings
Now showing 1 - 3 of 3
  • Publication
    Domain-Expert Configuration of Hypermedia Multi-Agent Systems in Industrial Use Cases
    Lemée, Jérémy
    ;
    Burattini, Samuele
    ;
    Mayer, Simon orcid-logo
    ;
    Ciortea, Andrei
    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.
    Type: conference paper
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/117089
  • Publication
    Agent-Oriented Visual Programming for the Web of Things
    ( 2022)
    Burattini, Samuele
    ;
    Ricci, Alessandro
    ;
    Mayer, Simon orcid-logo
    ;
    Vachtsevanou, Danai
    ;
    Lemee, Jérémy
    ;
    Ciortea, Andrei
    ;
    Croatti, Angelo
    In this paper we introduce and discuss an approach for multiagent-oriented visual programming. This aims at enabling individuals without programming experience but with knowledge in specific target domains to design and (re)configure autonomous software. We argue that, compared to procedural programming, it should be simpler for users to create programs when agent abstractions are employed. The underlying rationale is that these abstractions, and specifically the belief-desire-intention architecture that is aligned with human practical reasoning, match more closely with people’s everyday experience in interacting with other agents and artifacts in the real world. On top of this, we designed and implemented a visual programming system for agents that hides the technicalities of agent-oriented programming using a block-based visual development environment that is built on the JaCaMo platform. To further validate the proposed solution, we integrate the Web of Things (WoT) to let users create autonomous behaviour on top of physical mashups of devices, following the trends in industrial end-user programming. Finally, we report on a pilot user study where we verified that novice users are indeed able to make use of this development environment to create multi-agent systems to solve simple automation tasks.
    Type: conference paper
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/109205
  • Publication
    Type: book section
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/108299