| Autor: |
Igor Fominykh, Nikolay Alekseev, Michael Vinkov |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Advances in Intelligent Systems and Computing ISBN: 9783030500962 |
| Popis: |
The paper considers an approach to improving the stability of a cognitive agent functioning in hard real time in the event of anomalous situations (anomalies) associated with its functioning. The approach is based on the concept of metacognition (metareasoning) and is implemented by means of Active Logic. The principle of metacognition is based on a metacognitive cycle that includes stages of self-observation (introspection), self-evaluation and self-improvement. Introduces the concept of multiple granulation of time, when each inference step of the agent corresponds to the individual temporal granules and these granules are different for the various inference steps. It is shown that in some cases multiple granulation of time contributes to the timely detection of anomalies. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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