Zobrazeno 1 - 10
of 26 198
pro vyhledávání: '"Edge of chaos"'
Autor:
Zhang, Shiyang, Patel, Aakash, Rizvi, Syed A, Liu, Nianchen, He, Sizhuang, Karbasi, Amin, Zappala, Emanuele, van Dijk, David
We explore the emergence of intelligent behavior in artificial systems by investigating how the complexity of rule-based systems influences the capabilities of models trained to predict these rules. Our study focuses on elementary cellular automata (
Externí odkaz:
http://arxiv.org/abs/2410.02536
Autor:
Susnjak, Teo, McIntosh, Timothy R., Barczak, Andre L. C., Reyes, Napoleon H., Liu, Tong, Watters, Paul, Halgamuge, Malka N.
In this study, we explored the progression trajectories of artificial intelligence (AI) systems through the lens of complexity theory. We challenged the conventional linear and exponential projections of AI advancement toward Artificial General Intel
Externí odkaz:
http://arxiv.org/abs/2407.03652
Publikováno v:
Commun Nonlinear Sci Numer Simulat 133 (2024) 107989
Dynamical systems can be analyzed as computational devices capable of performing information processing. In coupled oscillators, enlarged capabilities are expected when the set of units is formed by subsets with collective behaviour within them but w
Externí odkaz:
http://arxiv.org/abs/2404.16858
Effective exploration abilities are fundamental for robot swarms, especially when small, inexpensive robots are employed (e.g., micro- or nano-robots). Random walks are often the only viable choice if robots are too constrained regarding sensors and
Externí odkaz:
http://arxiv.org/abs/2406.13641
Autor:
Dambisa Moyo
From an internationally acclaimed economist, a provocative call to jump-start economic growth by aggressively overhauling liberal democracy Around the world, people who are angry at stagnant wages and growing inequality have rebelled against establis
Autor:
Qiu, Junbin, Huang, Haiping
Publikováno v:
2025 Commun. Theor. Phys. 77 035601
Understanding neural dynamics is a central topic in machine learning, non-linear physics and neuroscience. However, the dynamics is non-linear, stochastic and particularly non-gradient, i.e., the driving force can not be written as gradient of a pote
Externí odkaz:
http://arxiv.org/abs/2401.10009