1 research outputs found
ΠΠ½Π°Π»ΠΈΠ· ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΎΠ½ΡΠΎΠ»ΠΎΠ³ΠΎ-ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Π½Π΅ΠΉΡΠΎ-ΡΠΈΠΌΠ²ΠΎΠ»ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΠ° ΠΏΡΠΈ ΠΊΠΎΠ»Π»Π°Π±ΠΎΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ΅ ΠΏΡΠΈΠ½ΡΡΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΠΉ
The neural network approach to AI, which has become especially widespread in the last decade, has two significant limitations β training of a neural network, as a rule, requires a very large number of samples (not always available), and the resulting models often are not well interpretable, which can reduce their credibility. The use of symbols as the basis of collaborative processes, on the one hand, and the proliferation of neural network AI, on the other hand, necessitate the synthesis of neural network and symbolic paradigms in relation to the creation of collaborative decision support systems. The article presents the results of an analytical review in the field of ontology-oriented neuro-symbolic artificial intelligence with an emphasis on solving problems of knowledge exchange during collaborative decision support. Specifically, the review attempts to answer two questions: 1. how symbolic knowledge, represented as an ontology, can be used to improve AI agents operating on the basis of neural networks (knowledge transfer from a person to AI agents); 2. how symbolic knowledge, represented as an ontology, can be used to interpret decisions made by AI agents and explain these decisions (transfer of knowledge from an AI agent to a person). As a result of the review, recommendations were formulated on the choice of methods for introducing symbolic knowledge into neural network models, and promising areas of ontology-oriented methods for explaining neural networks were identified.ΠΠ΅ΠΉΡΠΎΡΠ΅ΡΠ΅Π²ΠΎΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΠΠ, ΠΏΠΎΠ»ΡΡΠΈΠ²ΡΠΈΠΉ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎ ΡΠΈΡΠΎΠΊΠΎΠ΅ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΠ΅ Π² ΠΏΠΎΡΠ»Π΅Π΄Π½Π΅Π΅ Π΄Π΅ΡΡΡΠΈΠ»Π΅ΡΠΈΠ΅, ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ Π΄Π²ΡΠΌΡ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡΠΌΠΈ β ΠΎΠ±ΡΡΠ΅Π½ΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, ΠΊΠ°ΠΊ ΠΏΡΠ°Π²ΠΈΠ»ΠΎ, ΡΡΠ΅Π±ΡΠ΅Ρ ΠΎΡΠ΅Π½Ρ Π±ΠΎΠ»ΡΡΠΎΠ³ΠΎ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π° ΠΎΠ±ΡΠ°Π·ΡΠΎΠ² (Π½Π΅ Π²ΡΠ΅Π³Π΄Π° Π΄ΠΎΡΡΡΠΏΠ½ΡΡ
), Π° ΠΏΠΎΠ»ΡΡΠ°ΡΡΠΈΠ΅ΡΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π½Π΅ ΡΠ²Π»ΡΡΡΡΡ Ρ
ΠΎΡΠΎΡΠΎ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠΈΡΡΠ΅ΠΌΡΠΌΠΈ, ΡΡΠΎ ΠΌΠΎΠΆΠ΅Ρ ΡΠ½ΠΈΠΆΠ°ΡΡ Π΄ΠΎΠ²Π΅ΡΠΈΠ΅ ΠΊ Π½ΠΈΠΌ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΠΌΠ²ΠΎΠ»ΡΠ½ΡΡ
Π·Π½Π°Π½ΠΈΠΉ ΠΊΠ°ΠΊ ΠΎΡΠ½ΠΎΠ²Ρ ΠΊΠΎΠ»Π»Π°Π±ΠΎΡΠ°ΡΠΈΠ²Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² Ρ ΠΎΠ΄Π½ΠΎΠΉ ΡΡΠΎΡΠΎΠ½Ρ ΠΈ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΠ΅ Π½Π΅ΠΉΡΠΎΡΠ΅ΡΠ΅Π²ΠΎΠ³ΠΎ ΠΠ Ρ Π΄ΡΡΠ³ΠΎΠΉ, ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»ΠΈΠ²Π°ΡΡ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ ΡΠΈΠ½ΡΠ΅Π·Π° Π½Π΅ΠΉΡΠΎΡΠ΅ΡΠ΅Π²ΠΎΠΉ ΠΈ ΡΠΈΠΌΠ²ΠΎΠ»ΡΠ½ΠΎΠΉ ΠΏΠ°ΡΠ°Π΄ΠΈΠ³ΠΌ ΠΏΡΠΈΠΌΠ΅Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΊ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΊΠΎΠ»Π»Π°Π±ΠΎΡΠ°ΡΠΈΠ²Π½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΠΏΡΠΈΠ½ΡΡΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΠΉ. Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΎΠ±Π·ΠΎΡΠ° Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΠΎΠ½ΡΠΎΠ»ΠΎΠ³ΠΎ-ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Π½Π΅ΠΉΡΠΎ-ΡΠΈΠΌΠ²ΠΎΠ»ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΠ° ΠΏΡΠΈΠΌΠ΅Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΊ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π΄Π°Ρ ΠΎΠ±ΠΌΠ΅Π½Π° Π·Π½Π°Π½ΠΈΡΠΌΠΈ ΠΏΡΠΈ ΠΊΠΎΠ»Π»Π°Π±ΠΎΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ΅ ΠΏΡΠΈΠ½ΡΡΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΠΉ. Π ΠΈΠΌΠ΅Π½Π½ΠΎ, Π² Ρ
ΠΎΠ΄Π΅ ΠΎΠ±Π·ΠΎΡΠ° Π΄Π΅Π»Π°Π΅ΡΡΡ ΠΏΠΎΠΏΡΡΠΊΠ° ΠΎΡΠ²Π΅ΡΠΈΡΡ Π½Π° Π΄Π²Π° Π²ΠΎΠΏΡΠΎΡΠ°: 1. ΠΊΠ°ΠΊ ΡΠΈΠΌΠ²ΠΎΠ»ΡΠ½ΡΠ΅ Π·Π½Π°Π½ΠΈΡ, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΡΠ΅ Π² Π²ΠΈΠ΄Π΅ ΠΎΠ½ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π΄Π»Ρ ΡΠ»ΡΡΡΠ΅Π½ΠΈΡ ΠΠ-Π°Π³Π΅Π½ΡΠΎΠ², Π΄Π΅ΠΉΡΡΠ²ΡΡΡΠΈΡ
Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π½Π΅ΠΉΡΠΎΠ½Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ (ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠ° Π·Π½Π°Π½ΠΈΠΉ ΠΎΡ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΊ ΠΠ-Π°Π³Π΅Π½ΡΠ°ΠΌ); 2. ΠΊΠ°ΠΊ ΡΠΈΠΌΠ²ΠΎΠ»ΡΠ½ΡΠ΅ Π·Π½Π°Π½ΠΈΡ, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΡΠ΅ Π² Π²ΠΈΠ΄Π΅ ΠΎΠ½ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π΄Π»Ρ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΠΉ, ΠΏΡΠΈΠ½ΠΈΠΌΠ°Π΅ΠΌΡΡ
ΠΠ-Π°Π³Π΅Π½ΡΠ°ΠΌΠΈ ΠΈ ΠΎΠ±ΡΡΡΠ½Π΅Π½ΠΈΡ ΡΡΠΈΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ (ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠ° Π·Π½Π°Π½ΠΈΠΉ ΠΎΡ ΠΠ-Π°Π³Π΅Π½ΡΠ° ΠΊ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΡ). Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ ΠΎΠ±Π·ΠΎΡΠ° ΡΡΠΎΡΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½Ρ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΈ ΠΏΠΎ Π²ΡΠ±ΠΎΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΡ ΡΠΈΠΌΠ²ΠΎΠ»ΡΠ½ΡΡ
Π·Π½Π°Π½ΠΈΠΉ Π² Π½Π΅ΠΉΡΠΎΡΠ΅ΡΠ΅Π²ΡΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ Π²ΡΠ΄Π΅Π»Π΅Π½Ρ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΎΠ½ΡΠΎΠ»ΠΎΠ³ΠΎ-ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΎΠ±ΡΡΡΠ½Π΅Π½ΠΈΡ Π½Π΅ΠΉΡΠΎΠ½Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ