A Way toward Human Level Artificial Intelligence

Dunin-Barkowski, Witali L.; Shakirov, Vladimir

doi:10.3103/s1060992x19010041

Cited by 4 publications

(2 citation statements)

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“…«И-паутину» следует рассматривать как базовый элемент возникающего Синтелекта/Syntellect (Emergence, merging of us into one Global Mind, constitutes the quintessence of the coming Technological Singularity). Важным технологическим компонентом синтелекта И-паутины является «Адаптивный интегратор компетенций искусственного интеллекта» (Adaptive Integrator of Artificial Intelligence Competences) [151]. «Адаптивный» означает максимальную подстройку под требования человека (центрального агента).…”

Section: расширенные разум and познание: метафора «паутины»unclassified

Интуиция: Опыт Формального Исследования

Прокопчук¹

2022

Preprint

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Традиционная рациональность оказывается неспособной ответить на многие вопросы, возникающие вокруг интуиции. В книге предпринята попытка прояснить глубинные механизмы работы интуиции, творчества, бессознательного на основе парадигмы предельных обобщений. Результаты описывают новые подходы к поддержанию оптимальной сложности в субъективном представлении и анализе больших данных.Результаты исследования могут найти применение вобразовании, экономике, медицине, искусственном интеллекте, управлении сложными системами разной природы.

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Section: расширенные разум and познание: метафора «паутины»unclassified

Интуиция: Опыт Формального Исследования

Прокопчук¹

2022

Preprint

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“…A final direction, with the concept of goal-directed training, is proposed to use a custom assemblage of existing AI components in an autonomous intelligent construction, in which knowledge should be laid in real-time by human teachers and operators of the system (Dunin-Barkowski and Shakirov, 2019 ). It is supposed that strong AI will emerge in the technical system as a result of a permanently human-guided teaching/learning process.…”

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confidence: 99%

Editorial: Toward and Beyond Human-Level AI

Dunin-Barkowski

2020

Front. Neurorobot.

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Modern Advanced Artificial Intelligence for Smart Medicine

Kolesnichenko

Мартынов

Pulit

et al. 2019

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Artificial Intelligence is no longer just the topic of discussion. Today this technology is mostly based on Artificial Neural Networks. Pavlov Principle formulated by W.L. Dunin-Barkowski is used for their training. Mathematics compared Pavlov's doctrine with Deep Reinforcement Learning. AI technologies are divided into Computer Vision, images recognition and generation; Speech Recognition and Synthesis; Natural Language Processing; Graph Logic AI, MIVAR logic technology. All of this separately is Narrow AI. Artificial General Intelligence, equal to human, hasn’t been created yet. AGI should include all mentioned technologies. Given social and linguistic nature of the intelligence emergence, developers are paying attention to NLP algorithms and multi-agent environment. Simultaneously with the development of neural networks, adversary attacks emerged, which using the same learning mechanism force a trained neural network to make mistakes. This fact calls in question the future of neural networks in medicine. Big Data and data sets are the environment for AI. European experts have already begun to regulate Big Data for safe Health Care and drugs creation. Despite the difficulties and lack of clear rules, AI is actively being introduced into the private medicine. Due to AI the three new business models have already been created.

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A Way toward Human Level Artificial Intelligence

Cited by 4 publications

References 6 publications

Интуиция: Опыт Формального Исследования

Интуиция: Опыт Формального Исследования

Editorial: Toward and Beyond Human-Level AI

Modern Advanced Artificial Intelligence for Smart Medicine

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