Note: This page is historical.

Current pages about Yenta are here. Please look at those pages first.

Yenta is still under active development, but this particular page is not. If you're interested in current research papers about Yenta, or obtaining a copy of Yenta, please start here instead.

This page is one of many that were written in late 1994 and early 1995, and are being preserved here for historical purposes. If you're viewing this page, you probably found it via an old link or are interested in the history of how Yenta came to be. These pages have not been actively maintained since 1995, so you'll find all sorts of older descriptions which may not match the current system, citations to old papers and old results, and so forth.

What's an Agent?

A software agent is a program that performs tasks for its user. While this may sound just like any program, agents have somewhat special properties, which the enormous amount of media hype (and subsequent misuse of the term) has clouded in recent years.

For a fairly complete description, you should really see my What's an Agent, Anyway? A Sociological Case Study, which discusses Julia, a MUD robot. It uses Julia to define by example a good software agent, and also talks quite a bit about the sociology behind user acceptance of agents; it's available in HTML (with some active links) or in Postscript or PDF (either one of which will look better).

If you want a superficial sketch of agents, consider that most definitions involve some notion of:

trust: the agent will do what you think it will do,
personalizability: the agent can be either learn or be explicitly taught what to do for each individual user, and
autonomy: the agent is allowed to take at least some actions on the user's behalf, without permission or perhaps even notification.

In addition, many agents also learn. (This can sometimes lead to problems of trying to learn too much and hence running too slowly; for an example of approaches to ameliorate some of these problems, check out this paper (in Postscript or PDF), or this thesis, with included code.)

Typical applications of agents include information filtering and information discovery, although some are also used for entertainment. The Agents Group of the MIT Media Laboratory has built agents that do collaborative filtering of email, news filtering, and music recommendation.

Lenny Foner

Last modified: Fri Jan 22 02:50:51 EST 1999