From Parrondo's paradox to collective intelligence DOI
Marina Dolfin, Jie Liao, Nicola Bellomo

et al.

Physics of Life Reviews, Journal Year: 2024, Volume and Issue: 52, P. 27 - 28

Published: Nov. 26, 2024

Strategic variability in routing: Enhancing network performance in two-layer traffic systems DOI
Kang Hao Cheong, Ankit Mishra, Tao Wen

et al.

Physical review. E, Journal Year: 2025, Volume and Issue: 111(1)

Published: Jan. 3, 2025

We develop a model for two-layer traffic flow in which batch of no packets are dispatched from the source at regular intervals. This scenario is applicable various communication and transportation systems, such as TCP congestion control mechanisms management through lights. demonstrate that implementing stochastic switching between shortest-path greedy approaches routing strategy packet transmission results significant reduction total weight when exceeds certain threshold. phenomenon mirrors Parrondo's paradox, two games or strategies, individually yielding losses, produce winning outcome optimal combined. In addition, we observe influence layer 1 on overall dynamics surpasses 2. Furthermore, find impact structural characteristics layers more probability γ<0.5. locked icon Physics Subject Headings (PhySH)Control & applications chaosLattice models statistical physicsChaos nonlinear

Language: Английский

Citations

1

Life and Self-Organization on the Way to Artificial Intelligence for Collective Dynamics DOI Creative Commons
Nicola Bellomo, Marina Dolfin, Jie Liao

et al.

Physics of Life Reviews, Journal Year: 2024, Volume and Issue: 51, P. 1 - 8

Published: Aug. 23, 2024

This work is dedicated to the study, modeling, and simulation, of collective dynamics interacting living entities. The first perspective develop a mathematical theory swarm intelligence for above mentioned systems. second design conceptual tools artificial intelligence. aim model where entities learn from other as well environment external actions. Then, out this learning process, each entity develops strategy pursue specific goals through decision making process that leads dynamic. approach based on developments kinetic active particles. paper does not naively state problem has been exhaustively considered, but some hints are proposed contribute such challenging in view further developments.

Language: Английский

Citations

6

Layer-2 transferable belief model: Manage uncertainty on random permutation sets DOI Creative Commons
Qianli Zhou, Yong Deng

Journal of Electronic Science and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100304 - 100304

Published: Feb. 1, 2025

Language: Английский

Citations

0

Adaptive strategy automation with large language models in paradoxical games DOI Creative Commons
Kang Hao Cheong, Jie Zhao, Tao Wen

et al.

Physical Review Research, Journal Year: 2025, Volume and Issue: 7(2)

Published: April 10, 2025

Finding an ideal sequence in games is crucial for maximizing gains various scenarios. This process requires extensive investigation, which both time consuming and demands significant domain expertise. The emergence of large language models (LLMs) represents a turning point addressing this issue, attributable to their potent analytical capabilities. In context, LLMs can serve substantially alleviate the human labor needed manage these complexities. Through comprehensive simulations coin-tossing games, we have demonstrated that adaptive switching strategies formulated by surpass predefined sequences profitability when applied certain paradoxical games. Furthermore, our experimental findings indicate proposed method not only automates identification effective but also provides adaptability forms Published American Physical Society 2025

Language: Английский

Citations

0

Network switching can improve system order DOI
Ye Ye,

Zhuo-yuan Zhai,

Tao Wen

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 196, P. 116399 - 116399

Published: April 19, 2025

Language: Английский

Citations

0

Reasonings on multiple strategies in differential systems DOI

Nisrine Outada

Physics of Life Reviews, Journal Year: 2025, Volume and Issue: 52, P. 248 - 249

Published: Jan. 21, 2025

Language: Английский

Citations

0

Parrondo’s effects with aperiodic protocols DOI
Marcelo A. Pires, Erveton P. Pinto, Renata Silva

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2024, Volume and Issue: 34(12)

Published: Dec. 1, 2024

In this work, we study the effectiveness of employing archetypal aperiodic sequencing—namely, Fibonacci, Thue–Morse, and Rudin–Shapiro—on Parrondian effect. From a capital gain perspective, our results show that these series do yield Parrondo’s paradox with Thue–Morse based strategy outperforming not only other two strategies but benchmark games random periodical (AABBAABB…) switching as well. The least performing three is Rudin–Shapiro. To elucidate underlying causes results, analyze cross correlation between generated by protocols isolated losing games. This analysis reveals strong anticorrelation both typically required to achieve robust manifestation We also influence sequencing on using lacunarity persistence measures. general, observe tend become less in terms one increases and, thus, approaches features an game. For (log-)lacunarity, property related heterogeneity, notice for small (less than 0.5), performance maximum around 0.4. respect this, work shows optimization protocol strongly dependent fine-tuning heterogeneity.

Language: Английский

Citations

0

Formulating opinion dynamics from belief formation, diffusion and updating in social network group decision-making: Towards developing a holistic framework DOI Creative Commons
Tao Wen, Rui Zheng, Ting Wu

et al.

European Journal of Operational Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

0

From Parrondo's paradox to collective intelligence DOI
Marina Dolfin, Jie Liao, Nicola Bellomo

et al.

Physics of Life Reviews, Journal Year: 2024, Volume and Issue: 52, P. 27 - 28

Published: Nov. 26, 2024

Citations

0