If robotic agents are to act autonomously they must have the ability to construct and reason about models of their physical environment. For example, planning to achieve goals req...
This paper focuses on relationships between agent models and their physical realisations. Approaches on reduction from philosophical literature are analysed in a formalised manner...
Large systems of agents deployed in a real-world environment face threats to their problem solving performance that are independent of the complexity of the problem or the charact...
By using other agents' experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rules for unseen situations. These benefits would be ...
In this paper, a validation and an experimentation of the use of graded BDI agents is reported. This agent model has been proposed to specify agents capable to deal with the enviro...