Consciousness and Subconsciousness as a Means of AGI’s and Narrow AI’s Integration

Sukhobokov, Artem A.; Gapanyuk, Yuriy E.; Chernenkiy, Valeriy M.

doi:10.1007/978-3-030-25719-4_66

Cited by 6 publications

(1 citation statement)

References 11 publications

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“…Mivar knowledge bases in the project have performed well in terms of flexibility and scalability. These aspects contribute to the creation [20] of greenhouse management systems [21] that consider individual characteristics of crop growth [22]. They also contribute to decision making in the conditions of heterogeneous sensor data, and promptly adjusting plants growing process.…”

Section: Discussionmentioning

confidence: 99%

Creating a “Logical intelligent plant care system” in digital agriculture based on Mivar approach

Aladin

Aladina

Chuvikov³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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This work is devoted to developing an automated information processing and management system based on logical artificial intelligence. The proposed system has been designed to support the process of growing agricultural and house plants. This research is one of the global trends of intelligent tools and services application in the agricultural industry for improving human environmental and food safety. This work is a practical demonstration on mivar expert systems operation in the control loop with cyclic and calendar planning of processes. The results obtained in this work can be used as an information basis for implementing automated farms in urban environments. This implementation is based on mivar knowledge base platform which allows considering individual characteristics of crop growth, making decisions in conditions of heterogeneous sensor data, and timely adjusting the process of plants growing.

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Section: Discussionmentioning

confidence: 99%

Creating a “Logical intelligent plant care system” in digital agriculture based on Mivar approach

Aladin

Aladina

Chuvikov³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

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AGI Components for Enterprise Management Systems

Sukhobokov

Lavrinova

2020

Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020

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Intersymbolic AI

Platzer

2024

Lecture Notes in Computer Science

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This perspective piece calls for the study of the new field of Intersymbolic AI, by which we mean the combination of symbolic AI, whose building blocks have inherent significance/meaning, with subsymbolic AI, whose entirety creates significance/effect despite the fact that individual building blocks escape meaning. Canonical kinds of symbolic AI are logic, games and planning. Canonical kinds of subsymbolic AI are (un)supervised machine and reinforcement learning. Intersymbolic AI interlinks the worlds of symbolic AI with its compositional symbolic significance and meaning and of subsymbolic AI with its summative significance or effect to enable culminations of insights from both worlds by going between and across symbolic AI insights with subsymbolic AI techniques that are being helped by symbolic AI principles. For example, Intersymbolic AI may start with symbolic AI to understand a dynamic system, continue with subsymbolic AI to learn its control, and end with symbolic AI to safely use the outcome of the learned subsymbolic AI controller in the dynamic system. The way Intersymbolic AI combines both symbolic and subsymbolic AI to increase the effectiveness of AI compared to either kind of AI alone is likened to the way that the combination of both conscious and subconscious thought increases the effectiveness of human thought compared to either kind of thought alone. Some successful contributions to the Intersymbolic AI paradigm are surveyed here but many more are considered possible by advancing Intersymbolic AI.

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Consciousness and Subconsciousness as a Means of AGI’s and Narrow AI’s Integration

Cited by 6 publications

References 11 publications

Creating a “Logical intelligent plant care system” in digital agriculture based on Mivar approach

Creating a “Logical intelligent plant care system” in digital agriculture based on Mivar approach

AGI Components for Enterprise Management Systems

Intersymbolic AI

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