EP 3931761 A1 20220105 - AUTONOMOUS SELF-LEARNING SYSTEM
Title (en)
AUTONOMOUS SELF-LEARNING SYSTEM
Title (de)
AUTONOMES SELBSTLERNENDES SYSTEM
Title (fr)
SYSTÈME AUTONOME À APPRENTISSAGE AUTOMATIQUE
Publication
Application
Priority
- DE 102019105281 A 20190301
- EP 2020055427 W 20200302
Abstract (en)
[origin: WO2020178232A1] Disclosed according to the invention is a method for controlling a technical system using a first agent (S), wherein: the first agent (S) implements a first artificial neural network (NN1); a first input vector (x) of the first neural network (NN1) and a current state (ht) of the first neural network (NN1) are converted together into a new state (ht+1) of the first neural network (NN1); from the new state (ht+1) of the first neural network (NN1) a first output vector (y) of the first neural network (NN1) is generated; a second input vector (e) representing an emotion is additionally fed to the first agent, said vector being taken into consideration during the conversion of the neural network into the new state; and a second output vector (e') representing an expected emotion of the new state (ht+1) of the first neural network (NN1), is generated.
IPC 8 full level
G06N 3/08 (2006.01); G06N 3/00 (2006.01); G06N 3/04 (2006.01)
CPC (source: EP US)
G05B 13/027 (2013.01 - US); G06N 3/006 (2013.01 - EP); G06N 3/044 (2023.01 - EP); G06N 3/045 (2023.01 - EP US); G06N 3/088 (2013.01 - EP)
Citation (search report)
See references of WO 2020178232A1
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
DE 102019105281 A1 20200903; CN 113678146 A 20211119; EP 3931761 A1 20220105; US 2021397143 A1 20211223; WO 2020178232 A1 20200910
DOCDB simple family (application)
DE 102019105281 A 20190301; CN 202080027691 A 20200302; EP 2020055427 W 20200302; EP 20709525 A 20200302; US 202117462632 A 20210831