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Regular CG Meetings

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Andrei Ciortea edited this page Jul 21, 2025 · 59 revisions

The WebAgents Community Group (CG) is meeting every 2 weeks on Mondays (5-6 PM CET) and Fridays (9-10 AM CET) (timezone conversions). All CG events are published in the group's calendar.

The typical agenda of a regular meeting includes:

  • Introduction [15 min]
    • Introduction of new participants (if any)
    • Review minutes from the previous meeting
    • General CG updates
  • Review of Task Forces [15 min]
    • Proposals of new task forces (if any)
    • Updates from ongoing task forces
  • Open discussion [30 min]

If you wish to propose content for a regular meeting (a talk, demo, discussion topic, task force, etc.), you can do so by filling out this form.

Next meeting: Friday (Aug 1), 10:15 am CEST

Date and time according to your location: https://zonestamp.toolforge.org/1754036100

Proposed Agenda

  • Introduction
    • Introduction of new participants (if any)
    • Review minutes from the previous meeting
    • General CG updates
  • Invited Talk

Amit Chopra — Why Agentic AI Needs Interaction-Oriented Programming

Abstract: Agentic AI envisages the use of Generative AI, especially LLMs, as a decision-making engine for agents. Its value arises from the ability to reason flexibly in a variety of contexts but without explicit knowledge engineering. Exploiting this flexibility requires approaches for modeling multiagent interactions that support flexibility. Workflow, the currently dominant paradigm for modeling interactions in Agentic, doesn't fit the bill; it hasn't since the 1990s.

The multiagent systems community took an alternative approach: With of aim of supporting intelligent decision making by agents, they sought to capture the meaning of interactions. KQML and the FIPA ACL were early missteps. Interaction-Oriented Programming (IOP) addresses these missteps. IOP is formal, declarative, and general purpose (can be used to model diverse applications). It is motivated from meaning and supports maximally flexible interactions between agents. No approach supports loose-coupling, including asynchrony and heterogeneity, better than IOP. Moreover, IOP boasts a growing repository of software, including compilers, verifiers, and programming models (https://gitlab.com/masr).

In this talk, I will touch upon the past, the present, and the future of multiagent interactions, as relevant to Agentic AI. Let us not repeat the mistakes of the past.

Biography: Amit K. Chopra is a senior lecturer at Lancaster University in the UK. He is interested in software abstractions that enable engineering flexible, decentralized multiagent systems. The notions of protocols and norms are central to this work, which has been published in prestigious AI conferences such as AAMAS, IJCAI, and AAAI.

Amit has given several tutorials and invited talks. His research has been funded by the UKRI and the EU. He has a PhD in Computer Science from North Carolina State University.

Meeting Notes

Link to Meeting Notes

Content (archive)

We intend to organize focused discussions on specific topics and use cases (see regular meeting notes from June 17, 2024).

Current list of topic proposals:

  • personal assistants & digital companions
  • LLMs and agents
  • agents sharing their learning experience
  • embodied AI

List of domain areas for focused discussions on use cases:

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