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In BDI systems, agents are described using mentalistic notions such as beliefs and goals. According to the intentional stance this helps specifying and understanding complex behavior, because the system is made up of folk psychological concepts that humans naturally tend to use for explaining reasoning and behavior and therefore can easily grasp. To close the gap between the natural usage of the term...
Artificial agents engaged in real world applications require accurate allocation strategies in order to better balance the use of their bounded resources. In particular, during their epistemic activities, they should be able to filter out all irrelevant information and just consider what is relevant for the current task that they are trying to solve. The aim of this work is to propose a mechanism...
In this paper, we present our experiences using the Jason agent-oriented programming language to develop a complex multi-agent application. We highlight a number of shortcomings in the current design of the language when building complex agents, and propose revisions to the language to allow the development of modular programs that facilitate code reuse and independent development. In particular,...
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