Agent Building and Learning Environment (ABLE)

The Agent Building and Learning Environment (ABLE) project at the IBM T.J. Watson research laboratory started in early 1999. The goals of the project were to produce a fast, re-usable and scalable toolkit for creating intelligent software applications. ABLE release 1.0 was posted on the IBM alphaWorks site in May, 2000. Since then, the ABLE research team has delivered regular updates to alphaWorks with early releases focused on the core framework and Swing-based tooling, moving on to several years of work on our ABLE rule language (ARL) and rule engines, and most recently on our ABLE distributed multi-agent platform and Eclipse-based tooling.

ABLE software technology has been delivered in IBM products since 2002, and has been applied to areas such as autonomic computing, automotive diagnostics, communications trace analysis, system health monitoring, medical diagnostics, agent-based modeling and simulation, complex workload generation, business rules and policy, and adding intelligence to pervasive computing devices.

The IBM Academic Initiative provides special licenses for use of select IBM technologies in university research and classes. ABLE may be downloaded from IBM alphaWorks for academic use as well as general evaluation.

You can find more information about the ABLE project by following the links on the left and by browsing the project leader's personal page. To contact the research team directly, eMail ableinfo@us.ibm.com.