Common Sense Reasoning
Commonsense Reasoning, as a field of Artificial Intelligence, aims to provide solutions for the simulation of forms of reasoning that people naturally do in order to solve problems in real world scenarios, which typically have been difficult to tackle with techniques based on traditional mathematical approaches. In particular, in this field there have been proposed forms of knowledge representation and inference mechanisms in order to simulate, among others, default reasoning, spatial reasoning, temporal reasoning, reasoning about the physical world, etc. To formalize models of commonsense reasoning, approaches based on logic, considering extensions of classical logic, as well as other types of approaches, such as qualitative physics models, probabilistic models, etc., have been used. In recent years, this area has also been enriched with the availability of commonsense knowledge bases. In the course, the first part describes foundations about knowledge representation, modeling and reasoning. Then, the second part describes the current lines of research in common sense reasoning.
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Martín Molina González
Asignatura opatitva del Máster Universitario en Inteligencia Artificial. Facultad de Informática Last review: October 2012. |
ECTS: 5 credits.
GENERAL DESCRIPTION OF THE SUBJECT
Commonsense Reasoning, as a field of Artificial Intelligence, aims to provide solutions for the simulation of forms of reasoning that people naturally do in order to solve problems in real world scenarios, which typically have been difficult to tackle with techniques based on traditional mathematical approaches. In particular, in this field there have been proposed forms of knowledge representation and inference mechanisms in order to simulate, among others, default reasoning, spatial reasoning, temporal reasoning, reasoning about the physical world, etc.
To formalize models of commonsense reasoning, approaches based on logic, considering extensions of classical logic, as well as other types of approaches, such as qualitative physics models, probabilistic models, etc., have been used. In recent years, this area has also been enriched with the availability of commonsense knowledge bases. In the course, the first part describes foundations about knowledge representation, modeling and reasoning. Then, the second part describes the current lines of research in common sense reasoning.
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