Abstract
We discuss the potential for near-future artificial social intelligences (ASIs) to exhibit functional artificial theory of mind in a video-game based teaming scenario. We also describe the impact of individual differences on mental model formation and mental state development. We focus on the possibility for an ASI to develop profiles of human agents by eliciting or observing a range of information which may influence their counterpart’s behavior during a novel task. We conclude with a discussion of the implications of this approach for integrating methods from the cognitive and social sciences in development of ASI.
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This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. W911NF-20-1-0008. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of DARPA or UCF.
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Bendell, R., Williams, J., Fiore, S.M., Jentsch, F. (2021). Towards Artificial Social Intelligence: Inherent Features, Individual Differences, Mental Models, and Theory of Mind. In: Ayaz, H., Asgher, U., Paletta, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2021. Lecture Notes in Networks and Systems, vol 259. Springer, Cham. https://doi.org/10.1007/978-3-030-80285-1_3
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