Zobrazeno 1 - 10
of 229
pro vyhledávání: '"Maksymov, Ivan S."'
Autor:
Maksymov, Ivan S.
The discovery of the quantum tunnelling effect -- the transmission of particles through a high potential barrier -- was one of the most impressive achievements of quantum mechanics made in the 1920s. Responding to the contemporary challenges, I intro
Externí odkaz:
http://arxiv.org/abs/2407.11013
Artificial intelligence (AI) systems of autonomous systems such as drones, robots and self-driving cars may consume up to 50% of total power available onboard, thereby limiting the vehicle's range of functions and considerably reducing the distance t
Externí odkaz:
http://arxiv.org/abs/2407.04717
Autor:
Maksymov, Ivan S.
On the surface, behavioural science and physics seem to be two disparate fields of research. However, a closer examination of problems solved by them reveals that they are uniquely related to one another. Exemplified by the theories of quantum mind,
Externí odkaz:
http://arxiv.org/abs/2404.10554
Autor:
Abbas, A. H., Maksymov, Ivan S.
Physical reservoir computing (RC) is a machine learning algorithm that employs the dynamics of a physical system to forecast highly nonlinear and chaotic phenomena. In this paper, we introduce a quantum RC system that employs the dynamics of a probed
Externí odkaz:
http://arxiv.org/abs/2403.01024
Autor:
Maksymov, Ivan S.
Quantum-mechanical models of human cognition, opinion formation and decision-making have changed the way we understand and predict human behaviour in many practical situations, including political elections, financial decisions and international affa
Externí odkaz:
http://arxiv.org/abs/2401.15264
Autor:
Maksymov, Ivan S.
Reservoir computing (RC) systems can efficiently forecast chaotic time series using nonlinear dynamical properties of an artificial neural network of random connections. The versatility of RC systems has motivated further research on both hardware co
Externí odkaz:
http://arxiv.org/abs/2402.03319
Autor:
Maksymov, Ivan S.
Ambiguous optical illusions have been a paradigmatic object of fascination, research and inspiration in arts, psychology and video games. However, accurate computational models of perception of ambiguous figures have been elusive. In this paper, we d
Externí odkaz:
http://arxiv.org/abs/2312.03447
Autor:
Maksymov, Ivan S., Pogrebna, Ganna
Paradoxical decision-making behaviours such as preference reversal often arise from imprecise or noisy human preferences. Harnessing the physical principle of magnetisation reversal in ferromagnetic nanostructures, we developed a model that closely r
Externí odkaz:
http://arxiv.org/abs/2310.00267
Autor:
Maksymov, Ivan S., Pogrebna, Ganna
We propose a quantum-mechanical model that represents a human system of beliefs as quantised energy levels of a physical system. This model underscores a novel perspective on opinion dynamics, recreating a broad range of experimental and real-world d
Externí odkaz:
http://arxiv.org/abs/2308.02132
Autor:
Maksymov, Ivan S., Pogrebna, Ganna
This paper introduces a novel quantum-mechanical model that describes psychological phenomena using the analogy of a harmonic oscillator represented by an electron trapped in a potential well. Study~1 demonstrates the application of the proposed mode
Externí odkaz:
http://arxiv.org/abs/2307.08758