We study the effect of accumulative payoff on the evolution of cooperation in the evolutionary prisoner＇s dilemma on a square lattice. We introduce a decaying factor for the accumulative payoff, which characterizes t...
详细信息
We study the effect of accumulative payoff on the evolution of cooperation in the evolutionary prisoner＇s dilemma on a square lattice. We introduce a decaying factor for the accumulative payoff, which characterizes the extent that the historical payoff is accumulated. It is shown that for fixed values of the temptation to defect, the density of cooperators increases with the value of the decaying factor. This indicates that the more the historical payoff is involved, the more favourable cooperators become. In the critical region where the cooperator density converges to zero, cooperators vanish according to a power-law-like behaviour. The associated exponents agree approximately with the two-dimensional directed percolation and depend weakly on the value of the decaying factor.
This paper studies the evolutionary prisoner＇s dilemma game on a highly clustered community network in which the clustering coefficient and the community size can be tuned. It finds that the clustering coefficient in...
详细信息
This paper studies the evolutionary prisoner＇s dilemma game on a highly clustered community network in which the clustering coefficient and the community size can be tuned. It finds that the clustering coefficient in such a degree-homogeneous network inhibits the emergence of cooperation for the entire range of the payoff parameter. Moreover, it finds that the community size can also have a marked influence on the evolution of cooperation, with a larger community size leading to not only a lower cooperation level but also a smaller threshold of the payoff parameter above which cooperators become extinct.
This paper addresses a class of general nonsmooth and nonconvex composite optimization problems subject to nonlinear equality constraints. We assume that a part of the objective function and the functional constraints...
详细信息
This paper investigates a control strategy which uses an identified reference model to produce appropriate chaotic and nonchaotic reference trajectories. Although it is possible to dispense with the reference model in...
详细信息
This paper investigates a control strategy which uses an identified reference model to produce appropriate chaotic and nonchaotic reference trajectories. Although it is possible to dispense with the reference model in many applications, it is often desirable to obtain a model of the system in order to guarantee that the reference signal is a genuine trajectory of the system to be controlled and to reduce the effects of transients and the control effort. The influence of measurement noise and the relation between the control effort and the dynamics of the uncontrolled system are also discussed. Examples which use the Duffing-Ueda system and a discrete reference model identified from input/output records with no a priori information, are included to illustrate the main points of the paper.
This paper presents an investigation into the performance evaluation issues involved in real-time parallel signal processing and control. Issues such as algorithm partitioning, mapping, interprocessor communication, g...
This paper presents an investigation into the performance evaluation issues involved in real-time parallel signal processing and control. Issues such as algorithm partitioning, mapping, interprocessor communication, granularity, regularity, compiler efficiency for numerical computation, and code optimization with several signal processing and control algorithms are investigated and presented. Several algorithms are considered and implemented on a number of uniprocessor and multiprocessor, homogeneous and heterogeneous, parallel architectures, A comparative performance evaluation of the architectures is made, demonstrating the critical problems encountered in real-time parallel signal processing and control. (C) 1997 Academic Press.
In designing controllers for complex dynamical systems there are needs that are not sufficiently addressed by conventional control theory. These relate mainly to the problem of environmental uncertainty and often call...
详细信息
In designing controllers for complex dynamical systems there are needs that are not sufficiently addressed by conventional control theory. These relate mainly to the problem of environmental uncertainty and often call for human-like decision making requiring the use of heuristic reasoning and learning experience. Learning is required complexity of a problem or the uncertainty thereof prevents a priori specification of a satisfactory solution. Such solutious are then only possible through accumulating information about the problem and using this information to dynamically generate an acceptable solution. Such systems can be referred to as intelligent controlsystems. In recent years, 'intelligent control' has come to embrace diverse methodologies combining conventional control theory and emergent techniques based on physiological metaphors, such as neural networks, fuzzy logic, artificial intelligence, genetic algorithms and a wide variety of search and optimisation techniques. The paper reviews aspects of these emergent techniques, in particular, fuzzy logic, neural networks and genetic algorithms that pertain to realisation of intelligent controlsystems. The fundamental concepts and design techniques of each paradigm are discussed, providing a compact reference for their application.
Antipsychotics and antidepressants are essential psychotropic medications used for treating various mental health conditions such as depression, schizophrenia, and bipolar disorder. However, when exposed to light, the...
详细信息
In this paper, the mechanical construction, thermal regulator design and temperature measurement system of a local area were set up for large-scale linear measurement. Numerical analysis based on temperature correlate...
详细信息
In this paper, the mechanical construction, thermal regulator design and temperature measurement system of a local area were set up for large-scale linear measurement. Numerical analysis based on temperature correlated characteristic is discussed to obtain optimal observation points for the measurements. The horizontal temperature distribution of the measured area is compared with the measurement of the variation of temperature at 15℃ and 20℃ over time, and characteristic of dynamic response is also discussed. In addition, the long-time stability of measured temperature is analyzed by means of using the standard deviation. It characterizes the temperature distribution performance of a large area and how it may impact the measurement of a large-scale object.
Aim to improve the convergence of the adaptive filtering, based on the multi-step gradient method, a new affine pro jection algorithm with direction error is presented. The statistical behavior of the proposed algorit...
详细信息
Aim to improve the convergence of the adaptive filtering, based on the multi-step gradient method, a new affine pro jection algorithm with direction error is presented. The statistical behavior of the proposed algorithm is analyzed. The deterministic recursive equations for the weight error and for the Mean-square error(MSE) are derived in the weight update direction of the adaptive filtering. The steady-state MSE is also *** results show that the proposed algorithm improve the adaptive filtering convergence and corroborate the theoretical analytical results.
LiDAR-camera extrinsic calibration (LCEC) is the core for data fusion in computer vision. Existing methods typically rely on customized calibration targets or fixed scene types, lacking the flexibility to handle varia...
详细信息
暂无评论