Reasoning about abductive inferences in BDI agents
João Sousa Lopes, Sergio Álvarez-Napagao, Susana Cristina dos Reis, Javier Vázquez-Salceda · 2009
The capability of a computational system to deal with unexpected, changing situations and limited perception of the environment is becoming more a more relevant, in oder to make systems flexible and more reliable. Multi-agent Systems offer a com-puting paradigm where properties such as auton-omy, adaptability or flexibility are basic in the con-struction of agent-based solutions. However most of current implementations are not flexible enough to cope with important changes in the environment or information loss. In this paper we propose to introduce abductive reasoning mechanisms in BDI agents and show how such agents are able to oper-ate with partial models of the environment. 1