Abstract
Machines that perform intelligent tasks interacting with humans in a seamless manner are becoming a reality. A key element in their design is their ability to make decisions based on a reasonable value system, and the perception of the surrounding environment, including the incumbent persons. In this chapter, we provide a model that supports the decision making process of an autonomous agent that imperfectly perceives its environment and the actions performed by a person, which we shall designate user. The approach has a decision analytic flavour, but includes models forecasting the user’s behaviour and its impact over the surrounding environment. We describe the implementation of the model with an edutainment robot with sensors that capture information about the world around it, which may serve as a cognitive personal assistant, may be used with kids for educational, recreational and therapeutic purposes and with elderly people for companion purposes.
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Rázuri, J.G., Esteban, P.G., Insua, D.R. (2013). An Adversarial Risk Analysis Model for an Autonomous Imperfect Decision Agent. In: Guy, T., Karny, M., Wolpert, D. (eds) Decision Making and Imperfection. Studies in Computational Intelligence, vol 474. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36406-8_6
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DOI: https://doi.org/10.1007/978-3-642-36406-8_6
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