Agent Building and Learning Environment

Abstract

This paper describes the Agent Building and Learning Environment (ABLE) a Java-based framework for developing and deploying hybrid intelligent agents and agent applications. ABLE provides a set of reusable JavaBean components, called AbleBeans, along with several flexible interconnection methods for combining those components to create software agents. AbleBeans implement data access, filtering and transformation, learning, and reasoning capabilities. Function-specific AbleAgents are provided for classification, clustering, prediction, and genetic search. Application-specific agents can be constructed using one or more of these AbleBeans. AbleAgents are situated in their environment through the use of sensors and effectors, which provide a generic mechanism for linking them to Java applications. A GUI-based interactive development environment, the Able Agent Editor, is provided to assist in the construction of AbleAgents using AbleBean components. The Able agent platform is a FIPA-compliant distributed framework for creating multi-agent systems. The utility of the ABLE framework has been proven through its use in several IBM research projects.