W3C WebAgents CG: Biweekly Call (Fridays)
  • Past
  • Confirmed

Meeting

Event details

Date:
– Central European Summer Time
Status:
Confirmed
Repeats:
Every 4 weeks on Friday, starting from 14 February 2025, until 25 December 2025
Overview of the recurring event
Organizers
Andrei Ciortea
Rem Collier
Ege Korkan
Antoine Zimmermann
Groups:
Autonomous Agents on the Web Community Group ( View calendar)
Participants:
Luis Gustavo Nardin

Biweekly call of the W3C Autonomous Agents on the Web (WebAgents) Community Group.

For more information about regular meetings, see the group's wiki.

Agenda

 View agenda

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.

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