Previous studies suggest that cooperation prevails when individuals can switch their interaction partners quickly. However, it is still unclear how quickly individuals should switch adverse partners to maximize cooper...
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Previous studies suggest that cooperation prevails when individuals can switch their interaction partners quickly. However, it is still unclear how quickly individuals should switch adverse partners to maximize cooperation. To address this issue, we propose a simple model of coevolutionary prisoner’s dilemma in which individuals are allowed to either adjust their strategies or switch their defective partners. Interestingly, we find that, depending on the game parameter, there is an optimal tendency of switching adverse partnerships that maximizes the fraction of cooperators in the population. We confirm that the stabilization of cooperation by partner switching remains effective under some situations, where either normalized or accumulated payoff is used in strategy updating, and where either only cooperators or all individuals are privileged to sever disadvantageous partners. We also provide an extended pair approximation to study the coevolutionary dynamics. Our results may be helpful in understanding the role of partner switching in the stabilization of cooperation in the real world.
Most of previous studies concerning the public goods game assume either participation is unconditional or the number of actual participants in a competitive group changes over time. How the fixed group size, prescribe...
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Most of previous studies concerning the public goods game assume either participation is unconditional or the number of actual participants in a competitive group changes over time. How the fixed group size, prescribed by social institutions, affects the evolution of cooperation is still unclear. We propose a model where individuals with heterogeneous social ties might well engage in differing numbers of public goods games, yet with each public goods game being constant size during the course of evolution. To do this, we assume that each focal individual unidirectionally selects a constant number of interaction partners from his immediate neighbors with probabilities proportional to the degrees or the reputations of these neighbors, corresponding to degree-based partner selection or reputation-based partner selection, respectively. Because of the stochasticity the group formation is dynamical. In both selection regimes, monotonical dependence of the stationary density of cooperators on the group size was found, the latter over the whole range but the former over a restricted range of the renormalized enhancement factor. Moreover, the reputation-based regime can substantially improve cooperation. To interpret these differences, the microscopic characteristics of individuals are probed. We later extend the degree-based partner selection to general cases where focal individuals have preferences toward their neighbors of varying social ties to form groups. As a comparison, we as well investigate the situation where individuals locating on the degree regular graphs choose their coplayers at random. Our results may give some insights into better understanding the widespread teamwork and cooperation in the real world.
In this paper,we study the consensus problem of multi-agent systems in which each agent adopts the same linear model that can be of any *** consider the case where only the relative output error between the neighborin...
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In this paper,we study the consensus problem of multi-agent systems in which each agent adopts the same linear model that can be of any *** consider the case where only the relative output error between the neighboring agents can be *** order to solve the consensus problem,two kinds of decentralized control laws are *** first show that a static output error feedback control can solve the consensus problem if some further constraints on the system model is *** we use an observer based approach to design a dynamic output error feedback consensus *** note that with the observer based approach,some information exchange between the agents is needed unless the associated adjacent graph is completely connected.
A networked mobile robot in large networks such as Internet often operates under supervisory control and the discrete commands and decisions from the remote operators normally depend on the feedback scene information....
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A networked mobile robot in large networks such as Internet often operates under supervisory control and the discrete commands and decisions from the remote operators normally depend on the feedback scene information. Therefore it must be tolerate of the significant and unpredicted time latency that might mislead the robot for time and scene-dependent operations. A series of strategies are presented in this paper to decrease the latency impact and implement scene specified control of a Internet-based mobile robot. Time stamps are attached to each communication packet of scene video, audio and environment information from the robot to remote operator's computer for display, which then sends back control decision or command of the right time stamps with the scene when needed. By allocating a memory buffer for current display and recent status even including video frames the robot recalls the environment with the event time stamps as searching index, which helps to estimate the exact robot position or operation. Reverse position and motion are conducted according to estimation from the memorized information. The strategies have been introduced to improve a practical networked mobile robot control platform with experiment validity given in detail.
A novel tire pressure sensor based on the SAW resonator and the tire capacitor impedance was researched, and the sensor can measure the tire pressure wirelessly and passively according to the relation between the tire...
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ISBN:
(纸本)9781424435036
A novel tire pressure sensor based on the SAW resonator and the tire capacitor impedance was researched, and the sensor can measure the tire pressure wirelessly and passively according to the relation between the tire pressure and the tire capacitor impedance and the relation between the tire capacitor impedance and the resonant frequency of the sensor circuit. The novel sensor structure was introduced, and four L type, five T type and five π type sensor circuit structures were analyzed and their frequency characteristics were simulated. The simulation results show that the T1~T5, π1, π2, π4 and π5 type sensor circuit structures are suitable for the tire pressure sensor, and the performance of the T3 type sensor circuit structure is the best among them. The sensitivities of the sensor were calculated and the best sensor circuit was designed according to the simulation and analysis results.
In real situations, people are often faced with the option of voluntary contribution to achieve a collective goal, for example, building a dam or a fence, in order to avoid an unfavorable loss. Those who do not donate...
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In real situations, people are often faced with the option of voluntary contribution to achieve a collective goal, for example, building a dam or a fence, in order to avoid an unfavorable loss. Those who do not donate, however, can free ride on others’ sacrifices. As a result, cooperation is difficult to maintain, leading to an enduring collective-risk social dilemma. To address this issue, here we propose a simple yet effective theoretical model of threshold public goods game with collective risk and focus on the effect of risk on the emergence of social cooperation. To do this, we consider the population dynamics represented by replicator equation for two simplifying scenarios, respectively: one with fair sharers, who contribute the minimum average amount versus defectors and the other with altruists contributing more than average versus defectors. For both cases, we find that the dilemma is relieved in high-risk situations where cooperation is likely to persist and dominate defection in the population. Large initial endowment to individuals also encourages the risk-averse action, which means that, as compared to poor players (with small initial endowment), wealthy individuals (with large initial endowment) are more likely to cooperate in order to protect their private accounts. In addition, we show that small donation amount and small threshold (collective target) can encourage and sustain cooperation. Furthermore, for other parameters fixed, the impacts of group size act differently on the two scenarios because of distinct mechanisms: in the former case where the cost of cooperation depends on the group size, large size of group readily results in defection, while easily maintains cooperation in the latter case where the cost of cooperation is fixed irrespective of the group size. Our theoretical results of the replicator dynamics are in excellent agreement with the individual based simulation results.
In this paper, a finite-time controller for bank-to-turn (BTT,) missiles isdesigned based on nonsingular terminal sliding mode (NTSM,) technique. Theproposed controller allows that roll rate and angle of attack can tr...
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We present a self-learning evolutionary Prisoner's Dilemma game model to study the evolution of cooperation in network-structured *** the evolutionary process,each agent updates its current strategy with a probabi...
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We present a self-learning evolutionary Prisoner's Dilemma game model to study the evolution of cooperation in network-structured *** the evolutionary process,each agent updates its current strategy with a probability depending on the difference feedback between its actual score and score *** agent's score is a weighed mean of its payoff coming from its neighbors(social partners) and the payoff of its social partners obtaining from *** results show that the cooperation level in the structured populations increases with increasing the weight of partners' obtaining payoff in the *** interestingly,we find that very similar evolution of cooperation can respectively emerge in lattice,small-world and scale-free networks under the learningfeedback updating ***,we provide theoretical analysis and qualitative explanations for these numerical *** work may provide an effective way to solve the dilemma of cooperation for structured populations.
We present a mode of myopically selective interaction to study the evolutionary prisoner’s dilemma game in scale-free networks. Each individual has a reputation-based tolerance range and only tends to interact with t...
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We present a mode of myopically selective interaction to study the evolutionary prisoner’s dilemma game in scale-free networks. Each individual has a reputation-based tolerance range and only tends to interact with the neighbors whose reputation is within its tolerance range. Moreover, its reputation is assessed in response to the interactions in the neighborhood. Interestingly, we show that moderate values of tolerance range can result in the best promotion of cooperation due to the emergence of group selection mechanism. Furthermore, we study the effects of weighting factor in the assessment rule of reputation on the evolution of cooperation. We also show how cooperation evolves in some extended situations, where an interaction stimulus payment is considered for individuals, and where the strategy and reputation of individuals can spread simultaneously. Our results may enhance the understanding of evolutionary dynamics in graph-structured populations where individuals conditionally play with their neighbors according to some myopic selection criteria.
In this paper, the problem of the stability for a class of stochastic systems with time-varying delay is investigated. By dividing the delay interval into multiple segments and choosing different weighting matrices in...
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In this paper, the problem of the stability for a class of stochastic systems with time-varying delay is investigated. By dividing the delay interval into multiple segments and choosing different weighting matrices in the new LyapunovKrasovskii functional, the delay-dependent sufficient criterion is derived in terms of linear matrix inequalities(LMIs). Neither model transformations nor bounding techniques for cross terms is employed, so the derived criterion is less conservative than the most existing results. Meanwhile, the computational complexity of the obtained stability conditions is reduced because less variables are involved. A numerical example is given to show the application of the proposed method.
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