Knowledge representation and reasoning

Thema:
Artifical intelligence

Whenever we want to make a decision or check something, correct information is crucial. The more clear the information, the better. If not, and for example if different terms are used for the same concept, there will be disruptive ‘noise’. Then you won’t be able to guarantee effective decision support or real-time control. The problem, however, is that many systems offer ambiguous information.

To solve this problem, we use the AI technology 'knowledge representation & reasoning'. This enables us to recordknowledge from the domain so thatthe same terms are used consistently and information is presented clearly. Only then can we reason about this knowledge in the right way. New facts and insights can be derived, which strengthens decision support and real-time control.

OWL formats present unambiguous information

TNO brings visibility to the most important concepts and their interrelationships within a domain. We present these knowledge models using various AI tools in the form of Knowledge Graphs of Ontology Web Language (OWL) formats.

We develop such an ontology in collaboration with domain experts. By presenting relevant information and possible trends in an unambiguous way, a reasoning machine can exploit this ready-to-use data to derive new insights and connections.

Knowledge representation & reasoning is a key technology within AI. It supports decision-making and makes real-time control effective. - Jack Verhoosel - senior business consultant & architect

Hybrid AI is twice as powerful

The AI knowledge representation & reasoning technique can be very valuable in combination with machine learning. In this way, machine learning contributes by taking into account the uncertainty of predictions. And knowledge representation & reasoning, in turn, helps to interpret the internal relationships within a domain.

This combination of reasoning (knowledge representation & reasoning) and learning (machine learning) is called Hybrid AI. In addition to decision support and real-time control, this also helps to find trends and patterns. This technology is currently used in various sectors, such as agriculture, horticulture, defence, industry and energy.

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Rob de Wijk on the rise of AI in geopolitical context

Informatietype:
Insight
27 September 2022

Anne Fleur van Veenstra, director of science at TNO’s SA&P unit, interviews Rob de Wijk, emeritus professor of international relations in Leiden and founder of The Hague Centre for Strategic Studies. Rob is also a much sought-after expert who appears on radio and television programmes. What does the rise of AI mean geopolitically and in armed conflicts?

Bram Schot on the impact of AI on mobility

Informatietype:
Insight
27 September 2022

Marieke Martens, science director at TNO and professor of automated vehicles at the Eindhoven University of Technology, talks to Bram Schot. Schot was the CEO of Audi until 2020, having previously held management positions at various car makers, including Mercedes and Volkswagen. Their conversation concerns the influence of AI on mobility. How will AI impact the production process? And what does a future with autonomous vehicles look like?

Eppo Bruins on AI in different government domains

Informatietype:
Insight
27 September 2022

Michiel van der Meulen, chief geologist for the Geological Survey of the Netherlands (GDN), speaks with Eppo Bruins. Bruins was educated as a nuclear physicist and has spent many years working in the world of science, innovation, and technology. Between 2015 and 2021, he was a Dutch member of parliament for the Christian Union. He was recently appointed chairman of the Advisory council for science, technology and innovation (AWTI). What will AI mean for the various government domains in the coming years?

Bas Haring on AI, science and philosophy

Informatietype:
Insight
27 September 2022

Michiel van der Meulen, chief geologist for the Geological Survey of the Netherlands (GDN), speaks with Bas Haring. Haring originally studied artificial intelligence, which at the time still fell under the umbrella of philosophy, which is why people started calling him a philosopher. He himself feels more like a ‘folk philosopher’: Haring tries to make science and philosophy accessible to a wider audience. In 2001, he published a children’s book about evolution, Cheese and the Theory of Evolution. What better springboard for a geologist and a philosopher to talk about AI?

Arnon Grunberg on AI, creativity and morality

Informatietype:
Insight
27 September 2022

Peter Werkhoven, chief scientific officer at TNO, talks to Arnon Grunberg from his base in New York. Grunberg made his breakthrough in 1994 with his novel, Blue Mondays. He has since become one of the Netherlands’ best-known authors. The two talked about AI over dinner some years ago. Today, they finally get the chance to continue their conversation. What is Grunberg’s view on creativity? Can it be taught to machines? And how do humans morally relate to machines?