Article
Mathematics, Applied
Si-Yi Wang, Qing-Lian Wang, Xiao-Wei Zhang, Rui-Wu Wang
Summary: In evolutionary game theory, strategy updating plays a crucial role in the evolution of cooperation. This study investigates the combination of imitation and super-rational aspiration induced strategy updating in well-mixed finite populations. The results demonstrate that cooperation is promoted when the cooperator is super-rational, but inhibited when the defector is super-rational.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Physics, Multidisciplinary
Liming Zhang, Changwei Huang, Haihong Li, Qionglin Dai, Junzhong Yang
Summary: In the evolutionary games, players' strategy updates are influenced by motivations such as imitation, aspiration, and conformity. One of the three strategy-updating rules typically prevails in most parameter regions, but they can coexist in a small parameter region. Furthermore, alliances between conformity-driven and aspiration-driven cooperators can significantly boost cooperation levels during the evolution process.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Mathematics, Interdisciplinary Applications
Meng Gao, Zhi Li, Te Wu
Summary: Indirect reciprocity is a cooperative mechanism where individuals evaluate each other's reputation and take corresponding action. Friendship-driven reputation strategies can maintain cooperation and resist invasion of defectors. Individual decision reputation strategies based on partners' evaluation can enjoy higher abundances in evolutionary races, while strategies that rely on negative partners' opinions are easily outcompeted. Reputation strategies based on positive partners' opinions maintain high levels of cooperation even in the case of frequent mutations.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Multidisciplinary Sciences
Wen-Juan Xu, Chen-Yang Zhong, Fei Ren, Tian Qiu, Rong-Da Chen, Yun-Xin He, Li-Xin Zhong
Summary: The effects of homogeneous and heterogeneous characteristics on the evolution of collective behaviors are different. In the market flooded with the investors with homogeneous investment strategies or homogeneous reference points, large price fluctuations occur; while in the market flooded with the investors with heterogeneous investment strategies or heterogeneous reference points, moderate price fluctuations occur. The coexistence of different kinds of investment strategies is important for the stability of the stock market.
Article
Engineering, Electrical & Electronic
Ziqing Zhu, Ka Wing Chan, Siqi Bu, Siu Wing Or, Xiang Gao, Shiwei Xia
Summary: The study uses evolutionary game theory and replication dynamic equations to investigate factors affecting energy providers' willingness to use market power to increase bidding prices, revealing that factors such as load demand, severity of congestion, and price cap affect bidding strategy preferences.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Automation & Control Systems
Sharad Kumar Singh, Puduru Viswanadha Reddy, Bhaskar Vundurthy
Summary: This article explores a variant of the active target-attacker-defender (ATAD) differential game with multiple targets, an attacker, and a defender. The defender can switch roles between rescuer and interceptor, while the attacker continuously pursues the closest target. Using the framework of Games of a Degree, the game is analyzed within each mode to obtain open-loop Nash equilibrium strategies and switching strategies for the players. The geometric characterization of player trajectories is determined by partitioning matrices associated with Riccati differential equations. Additionally, interception mode is proven to be invariant under certain problem parameters and defender's switching function, illustrated through numerical simulations with multiple autonomous differential drive mobile robots.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2022)
Article
Computer Science, Cybernetics
Dun Han, Xiang Li
Summary: This article incorporates human active characteristics and risk perception into epidemic spreading and explores a comprehensive evolutionary vaccination game. It is proven that unvaccinated individuals can gradually become vaccinated individuals with the increase of connected edges or infection rate. Moreover, the article provides an alternative condition for judging the stability of the game system.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Automation & Control Systems
Dong Wang, Shihua Fu, Jianjun Wang, Ying Li, Ziyun Wang
Summary: In this paper, the stability degree of profiles for a class of networked evolutionary games (NEGs) with switching topology is investigated using the semi-tensor product of matrices. The algebraic form of NEGs with switching topology is calculated, and the strong and weak stability degrees of a profile are defined. Necessary and sufficient conditions to detect whether a profile is strong or weak k-degree stable are provided. State feedback controller algorithms are proposed to guarantee the strong or weak k-degree stability of a profile. A numerical example is provided to illustrate the effectiveness of the results.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Daniele Vilone, John Realpe-Gomez, Giulia Andrighetto
Summary: Cooperation is crucial for overcoming social challenges, and although human cooperation may not have evolutionary advantages, recent research has found signs of criticality in human cooperative groups, indicating that being close to a turning point can enhance fitness and resist invasions by free riders.
Article
Automation & Control Systems
Dena Firoozi, Ali Pakniyat, Peter E. Caines
Summary: A novel framework that combines Mean Field Game (MFG) theory and Hybrid Optimal Control (HOC) theory is proposed to obtain a unique epsilon-Nash equilibrium for a non-cooperative game with switching and stopping times. The framework considers a major agent and a large number of minor agents, where each agent has stochastic linear dynamics with quadratic costs. The optimal switching and stopping times are shown to be state-invariant and only depend on the dynamical parameters of each agent. Optimal strategies for switchings and stopping times are established using Hybrid LQG MFG theory.
Article
Engineering, Industrial
Gregory Levitin, Maxim Finkelstein, Yuanshun Dai
Summary: The paper examines heterogeneous warm-standby systems operating in a random environment, investigating cases where failure of operating elements leads to mission failure. Preventive replacement is utilized to reduce the probability of operation failure, with a new recursive algorithm proposed to calculate mission success probability.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Biology
Fang Chen, Te Wu, Long Wang
Summary: This study theoretically analyzes the evolutionary dynamics of generous and extortionate zero-determinant (ZD) strategies in multiplayer games. It investigates different competition settings and the impact of generosity and extortion levels on the evolutionary dynamics.
JOURNAL OF THEORETICAL BIOLOGY
(2022)
Article
Mathematics, Applied
Colin Benjamin, Aditya Dash
Summary: This article explores a quantum many-body state built on a classical 1D Ising model with locally entangled qubits. The study reveals that local entanglement at specific positions can cancel global correlations, resulting in a transition from a strongly correlated quantum state to an uncorrelated quantum state, and eventually to a correlated classical state.
Article
Chemistry, Physical
Yinan Shu, Linyao Zhang, Xiye Chen, Shaozeng Sun, Yudong Huang, Donald G. Truhlar
Summary: Direct dynamics by mixed quantum-classical nonadiabatic methods is crucial for understanding processes with multiple electronic states. However, the computational bottleneck lies in the electronic structure theory. In this study, we propose new algorithms that only require adiabatic potential energies and their gradients, resulting in improved computation time and accuracy compared to previous methods. This reduction in computational cost allows for longer nonadiabatic trajectories and extends the dynamics capability to new electronic structure methods.
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
(2022)
Article
Automation & Control Systems
Jianjun Wang, Renato De Leone, Shihua Fu, Jianwei Xia, Lishan Qiao
Summary: This paper investigates the dynamics and control problem for a class of networked evolutionary games with time invariant delay, presenting new results including algebraic forms for DNEGs, necessary and sufficient conditions for global convergence, and the derivation of valid event-triggered state feedback controllers. An illustrative example is provided to demonstrate the effectiveness of the obtained results.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Jianlei Zhang, Zhiqi Li, Zimin Xu, Chunyan Zhang
ASIAN JOURNAL OF CONTROL
(2020)
Article
Automation & Control Systems
Jianlei Zhang, Yuying Zhu, Zengqiang Chen
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Chunyan Zhang, Qiaoyu Li, Yuying Zhu, Jianlei Zhang
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2019)
Article
Engineering, Electrical & Electronic
Jianlei Zhang, Ming Cao
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2020)
Article
Engineering, Electrical & Electronic
Yuying Zhu, Jianlei Zhang, Jianda Han, Zengqiang Chen
Summary: This brief proposes an interacting decision-making model for investigating the evolutionary dynamics of networked systems, highlighting the importance of asynchronous updating and local interventions from neighbors for system convergence.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2021)
Article
Engineering, Aerospace
Xiaoxuan Li, Jianlei Zhang, Jianda Han
Summary: An trajectory planning method based on a value-function approximation algorithm is proposed for cable-suspended load transportation using three quadrotors, aiming to reach the target position quickly without load swinging. The proposed algorithm effectively fits the value function and enables smooth transportation of suspended load to different target locations, demonstrating its effectiveness and convergence.
AEROSPACE SCIENCE AND TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Rui Zhu, Zengqiang Chen, Jianlei Zhang, Zhongxin Liu
Summary: The study established a weighted networked evolutionary games model where players choose their trusters in different networks, and used an algorithm to optimize player strategies to reach the minimum payoff threshold.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Ziheng Wang, Jianlei Zhang
Summary: This paper proposes a method to solve the dynamic task allocation problem of UAV swarms in complex scenes by modeling the behavioral characteristics of a wolf pack. The method considers the non-balanced task assignment problem and achieves high task completion and load balance through task scheduling, path planning, and coverage search algorithms.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Rui Zhu, Zengqiang Chen, Zhipeng Zhang, Zhongxin Liu, Jianlei Zhang
Summary: This paper presents the event-triggered control problem in weighted networked evolutionary games and proposes a process for designing event-triggered control to achieve the goal of ensuring that each player earns above a certain threshold.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Multidisciplinary Sciences
Pieter van den Berg, Siyuan Liu, Tom Wenseleers, Jianlei Zhang
Summary: Misrepresentation in cooperative behavior is common and detrimental to future cooperation. The effects of misrepresentation on cooperation outcomes are amplified by the possibility of building a personal reputation in China, but not in the USA.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Aerospace
Xiandong Pu, Chunyan Zhang, Jianlei Zhang
Summary: MTRT is an extension of path planning for traversing multiple targets in unknown environments at the lowest cost. The proposed DAA algorithm improves the efficiency of MTRT by implementing adaptive heuristic functions and adaptive node expansion methods.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Lei Zhao, Rui Li, Jianda Han, Jianlei Zhang
Summary: This article proposes a framework for multidifferent-target search in unknown environments based on swarm intelligence. The framework introduces the idea of distributed model predictive control in the target search method and enhances the robot's path prediction ability using a hierarchical prediction strategy. Compared to existing methods, this strategy significantly improves the functionality and success rate of multidifferent-target search in unknown complex obstacle environments. The article also presents two effective efforts to reduce computational complexity and speed up decision making.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2023)
Article
Computer Science, Information Systems
Huibin Jin, Zhanyao Hu, Kun Li, Mingjian Chu, Guoliang Zou, Guihua Yu, Jianlei Zhang
Summary: The distribution of visual attention among pilots affects flight performance, with experts showing more attention to key instruments, leading to better performance. An effective visual attention model could be developed based on this study to improve air traffic safety.
Article
Computer Science, Information Systems
Siyuan Liu, Jianda Han, Jianlei Zhang
JOURNAL OF INFORMATION AND TELECOMMUNICATION
(2020)
Article
Geochemistry & Geophysics
Wenpei Jiao, Jianlei Zhang
Summary: This work addresses the challenges of long-tail and few-shot problems in sonar image classification. By introducing a two-stage decoupled training approach and a novel multibalanced sampling method, the balanced ensemble transfer learning (BETL) pipeline is proposed to simultaneously overcome the LTFS problems.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)