An OO Framework for building Intelligence and Learning properties in Software Agents

Software agents are defined as autonomous entities driven by beliefs, goals, capabilities and plans, and other behavioral properties such as adaptation, learning, interaction, and mobility. Software agents are the focus of considerable research in the artificial intelligence community, but there is still much to be done in the field of software engineering in order to systematically create large MAS (Multi-Agents Systems). In practice, they are often built in an ad-hoc manner and are error-prone. In this paper, we present an object-oriented framework that introduces intelligence and learning properties in agents for competition environments. We use Artificial Intelligence techniques and OO Frameworks to help the development of such complex properties in a systematic way. We present an instantiated application that uses this framework to illustrate an implementation.