Call for Participation in Autonomous Agents on the Web Community Group

The Autonomous Agents on the Web Community Group has been launched:

This community group is interested in the design of Web-based Multi-Agent Systems (MAS) for the deployment of world-wide hybrid communities of people and artificial agents on the Web.

Our aim is to design a new class of Web-based MAS that are aligned with the Web Architecture to inherit the properties of the Web (world-wide, open, long-lived, etc.), and are also transparent and accountable to support acceptance by people.

We are especially interested in the use of Linked Data and Semantic Web standards for weaving a hypermedia fabric that enables uniform interaction among heterogeneous entities: people, artificial agents, devices, digital services, knowledge repositories, etc. We refer to this new class of Web-based MAS as Hypermedia MAS (hMAS).

This community group brings together experts actively contributing to advances in autonomous agents and MAS, the Web Architecture and the Web of Things, Semantic Web and Linked Data, and Web standards in general — as well as any other areas that could contribute to this approach for distributed intelligence on the Web.

In order to join the group, you will need a W3C account. Please note, however, that W3C Membership is not required to join a Community Group.

This is a community initiative. This group was originally proposed on 2023-03-18 by Fabien Gandon. The following people supported its creation: Fabien Gandon, Andrei Ciortea, Simon Mayer, Melvin Carvalho, Alessandro Ricci. W3C’s hosting of this group does not imply endorsement of the activities.

The group must now choose a chair. Read more about how to get started in a new group and good practice for running a group.

We invite you to share news of this new group in social media and other channels.

If you believe that there is an issue with this group that requires the attention of the W3C staff, please email us at site-comments@w3.org

Thank you,
W3C Community Development Team