Outputs (3)

Improving and benchmarking of algorithms for decision making with lower previsions (2019)
Journal Article
Nakharutai, N., Troffaes, M. C., & Caiado, C. (2019). Improving and benchmarking of algorithms for decision making with lower previsions. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, 113, 91-105. https://doi.org/10.1016/j.ijar.2019.06.008

Maximality, interval dominance, and E-admissibility are three well-known criteria for decision making under severe uncertainty using lower previsions. We present a new fast algorithm for nding maximal gambles. We compare its performance to existing a... Read More about Improving and benchmarking of algorithms for decision making with lower previsions.

Improving and benchmarking of algorithms for decision making with lower previsions (2019)
Presentation / Conference Contribution
Nakharutai, N., Troffaes, M. C., & Caiado, C. (2019, July). Improving and benchmarking of algorithms for decision making with lower previsions. Paper presented at ISIPTA 2019, Ghent, Belgium

Evaluating betting odds and free coupons using desirability (2019)
Journal Article
Nakharutai, N., Caiado, C. C., & Troffaes, M. C. (2019). Evaluating betting odds and free coupons using desirability. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, 106, 128-145. https://doi.org/10.1016/j.ijar.2019.01.002

In the UK betting market, bookmakers often offer a free coupon to new customers. These free coupons allow the customer to place extra bets, at lower risk, in combination with the usual betting odds. We are interested in whether a customer can exploit... Read More about Evaluating betting odds and free coupons using desirability.