Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 154 tok/s
Gemini 2.5 Pro 44 tok/s Pro
GPT-5 Medium 33 tok/s Pro
GPT-5 High 27 tok/s Pro
GPT-4o 110 tok/s Pro
Kimi K2 191 tok/s Pro
GPT OSS 120B 450 tok/s Pro
Claude Sonnet 4.5 38 tok/s Pro
2000 character limit reached

Challenges and Directions for Engineering Multi-agent Systems (1209.1428v1)

Published 7 Sep 2012 in cs.MA and cs.SE

Abstract: In this talk I review where we stand regarding the engineering of multi-agent systems. There is both good news and bad news. The good news is that over the past decade we've made considerable progress on techniques for engineering multi-agent systems: we have good, usable methodologies, and mature tools. Furthermore, we've seen a wide range of demonstrated applications, and have even begun to quantify the advantages of agent technology. However, industry involvement in AAMAS appears to be declining (as measured by industry sponsorship of the conference), and industry affiliated attendants at AAMAS 2012 were few (1-2%). Furthermore, looking at the applications of agents being reported at recent AAMAS, usage of Agent Oriented Software Engineering (AOSE) and of Agent Oriented Programming Languages (AOPLs) is quite limited. This observation is corroborated by the results of a 2008 survey by Frank and Virginia Dignum. Based on these observations, I make five recommendations: (1) Re-engage with industry; (2) Stop designing AOPLs and AOSE methodologies ... and instead ... (3) Move to the "macro" level: develop techniques for designing and implementing interaction, integrate micro (single cognitive agent) and macro (MAS) design and implementation; (4) Develop techniques for the Assurance of MAS; and (5) Re-engage with the US.

Citations (15)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Questions

We haven't generated a list of open questions mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.