“Technological innovation can never be considered in isolation - it has to take into account the context of use.”

Explainable AI:

S. Muggeton et al. (2018): “Ultra-Strong Machine Learning: Comprehensibility of programs learned with ILP.”

D. Doran, S. Schulz, T. R. Besold (2017): “What does explainable AI really mean? A new conceptualization of perspectives.”

Neural-Symbolic Learning and Reasoning:

T. R. Besold et al. (2017): “Neural-symbolic learning and reasoning: A survey and interpretation.”

T. R. Besold et al. (2017): “Reasoning in non-probabilistic uncertainty: Logic programming and neural-symbolic computing as examples.”

A. Garcez et al. (2015): “Neural-symbolic learning and reasoning: Contributions and challenges.”

Computational Creativity:

R. Confalonieri et al. (2018): “Concept Invention.”

T. R. Besold et al. (2015): “Computational creativity research: Towards creative machines.”

Cognitive Systems & Cognitive AI:

L. Zaadnoordijk, T. R. Besold (2019): “Artificial phenomenology for Human-Level Artificial Intelligence.”

T. R. Besold et al. (2015): “Can machine intelligence be measured in the same way as human intelligence?”

T. R. Besold (2014): “On cognitive aspects of Human-Level Artificial Intelligence.”