Abstract
Recent studies highlight the importance of personality for improving human-machine interaction. Attempts of including personality in chatterbots have not been satisfactory regarding the coherence of the chatterbot’s behavior, the flexibility and reusability of the personality model. This work presents Persona-AIML, an original architecture for the creation of chatterbots in AIML with personality. It is a flexible architecture that allows the use of different models of personality, described in terms of five elements: traits, attitudes, mood, emotions and physical states. Recent experiments validate the reusability and extensibility of our architecture to build chatterbots with different personalities, however using the same categories base. The implemented chatterbots demonstrated a satisfactory level of coherence in their behavior.
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Galvão, A.M., Barros, F.A., Neves, A.M.M., Ramalho, G.L. (2004). Adding Personality to Chatterbots Using the Persona-AIML Architecture. In: Lemaître, C., Reyes, C.A., González, J.A. (eds) Advances in Artificial Intelligence – IBERAMIA 2004. IBERAMIA 2004. Lecture Notes in Computer Science(), vol 3315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30498-2_96
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DOI: https://doi.org/10.1007/978-3-540-30498-2_96
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