Abstract
This article explores the possibility of machines having artificial “personality,” roughly as we mean the term when referring to people. Relevant aspects of the psychological theories of personality are briefly summarised, particularly the social-learning theories.
Then I propose an abstract definition of personality that applies to humans, animals and machines, and suggest how to fit the phenomena of emotion and mood into the same scheme. I present a prototype model of emotion, and show how it could be extended to model personalities which are parameterised along natural dimensions.
I would like to thank Nico Frijda for many enlightening discussions, which have been very inspiring and helpful to me. This article would not have been written at all if Robert Trappl had not suggested it, and I thank him and his talented multinational colleagues for making the workshop so enjoyable. The work reported here was supported in part by a grant from NWO (Netherlands Organisation for Research), No. 560-257030, to N.H. Frijda and R.H. Phaf.
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Moffat, D. (1997). Personality parameters and programs. In: Trappl, R., Petta, P. (eds) Creating Personalities for Synthetic Actors. Lecture Notes in Computer Science, vol 1195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030575
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DOI: https://doi.org/10.1007/BFb0030575
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