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Advanced technologies and mathematical metacognition: The present and future orientation
Alexios Kouzalis1, Antonios Antoniou2, Nicos Rossides2
1HSE University, Moscow, Russian Federation.
This study explores the integration of mathematical cognition and metacognition with advanced technologies like artificial intelligence. It highlights historical influences and future directions for cognitive robots and interdisciplinary collaboration.
Area of Science:
- Cognitive Science
- Artificial Intelligence
- Philosophy of Mathematics
Background:
- Historical foundations of mathematical cognition from Pythagoreans and Aristotle.
- Evolution of logical reasoning through Boolean logic, Bayesian inference, and fuzzy logic.
- Emergence of Chemical Artificial Intelligence and its potential impact.
Purpose of the Study:
- To explore the intersection of mathematical cognition, metacognition, and advanced technologies.
- To investigate historical influences and contemporary relevance of these concepts.
- To propose research directions for integrating cognitive sciences with AI and robotics.
Main Methods:
- Historical analysis of philosophical and scientific thought.
- Review of cognitive science principles and computational logic.
- Exploration of emerging AI fields and their applications.
Main Results:
- Mathematical cognition and metacognition have deep historical roots influencing modern AI.
- Boolean, Bayesian, and fuzzy logic are key in understanding human and artificial reasoning.
- Unifying mathematical metacognition with AI offers benefits and challenges across various sectors.
Conclusions:
- Interdisciplinary collaboration is crucial for advancing cognitive science and AI integration.
- Developing cognitive robots requires focused research on specific cognitive tasks.
- Ethical considerations are paramount in the advancement of AI and cognitive technologies.
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