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    <p>I am a research professor who has published many articles in the Autonomous Agents and Multiagent Systems Conference (AAMAS): the main vehicle for multiagent research.</p> <p>MAS is a term used by researchers (coined around 1995, for the first <a href="http://www.aaai.org/Press/Proceedings/icmas95.php" rel="nofollow noreferrer">International Conference on Multiagent Systems (ICMAS)</a>, which brought together the Distributed Artificial Intelligence (DAI) and the Autonomous Agents research communities under one tent: the MAS tent) that refers to algorithms and methods for organizing teams of autonomous agents. Researchers in MAS have developed algorithms for Robot soccer (see <a href="http://www.robocup.org" rel="nofollow noreferrer">Robocup</a>), coordinating autonomous robot rovers (as in Mars rovers), distributed allocation of resources (who does which task), and many other domains.</p> <p>I don't see that there is any "hype" as you describe. You can read all the <a href="http://www.ifaamas.org/proceedings.html" rel="nofollow noreferrer">papers in past conferences</a> and each one clearly states what the author tried to accomplish, how he tried it, and what the results were. I do not know of anyone making silly claims about the power of these techniques: they are all just algorithms (isn't everything). No magic here.</p> <p>The question</p> <blockquote> <p>do you think that we can already achieve everything MAS has to offer but with simple more elegant solutions?</p> </blockquote> <p>is incorrect in that, if you can solve a MAS problem with a simple and more elegant solution, your solution is now a MAS solution! </p> <p>MAS is a problem domain, along with the solutions we found so far. If you find a better solution then, awesome, publish it and join the MAS community.</p> <p>As an aside, I see this confusion often. Journeymen programmers don't realize that research communities are (usually) defined by the problem they work on, not a solution approach.</p>
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