Process of Learning from Demonstration with Paraconsistent Artificial Neural Cells for Application in Linear Cartesian Robots

Paraconsistent Annotated Logic (PAL) is a type of non-classical logic based on concepts that allow, under certain conditions, for one to accept contradictions without invalidating conclusions. The Paraconsistent Artificial Neural Cell of Learning (<i>l</i>PANCell) algorithm was created from PAL-base...

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التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	João Inácio Da Silva Filho, Cláudio Luís Magalhães Fernandes, Rodrigo Silvério da Silveira, Paulino Machado Gomes, Sérgio Luiz da Conceição Matos, Leonardo do Espirito Santo, Vander Célio Nunes, Hyghor Miranda Côrtes, William Aparecido Celestino Lopes, Mauricio Conceição Mario, Dorotéa Vilanova Garcia, Cláudio Rodrigo Torres, Jair Minoro Abe, Germano Lambert-Torres
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	MDPI AG 2023-05-01
سلاسل:	Robotics
الموضوعات:	paraconsistent annotated logic paraconsistent artificial neural cell learning from demonstration Cartesian robot machine learning
الوصول للمادة أونلاين:	https://www.mdpi.com/2218-6581/12/3/69
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!