Integrating power dependence and gender role theories, we investigate the interactive effects of followers’ gender and leaders’ Machiavellian orientation in predicting followers’ usage of upward influence tactics. Using a sample of 156 matched leader–follower dyads, we found that followers’ gender moderated the relationship between Time 1 leaders’ Machiavellian orientation and followers’ use of upward influence tactics at Time 2. Specifically, the relationship between Time 1 leaders’ Machiavellianism and Time 2 followers’ ingratiation was significant and positive for women followers and non-significant (...) for men followers, while the relationship between Time 1 leaders’ Machiavellianism and Time 2 followers’ assertiveness was significant and positive for men followers but non-significant for women followers. These results suggest that gender plays an important role in how followers react to Machiavellian leaders. The social and ethical implications of these findings are discussed. (shrink)

Recent studies reveal spontaneous implicit false-belief understanding in infancy. But is this early ability genuine theory-of-mind? Spontaneous tasks may allow early success by eliminating the selection-response bias thought to underlie later failure on standard tasks. However, using anticipatory eye gaze, we find the same bias in non-verbal tasks in both preschoolers and adults. We argue that the bias arises from theory-of-mind competence itself and takes the form of a rational prior to attribute one's own belief to others. Our discussion then (...) draws attention to a number of other inferential hallmarks of early belief-desire reasoning that together suggest it is the real deal. (shrink)

Light detection and ranging is commonly used to create high-resolution maps; however, the efficiency and convergence of parameter estimation are difficult. To address this issue, we evaluated the structural characteristics of received LiDAR signals by decomposing them into Gaussian functions and applied the variable projection algorithm of the separable nonlinear least-squares problem to the process of waveform fitting. First, using a variable projection algorithm, we separated the linear and nonlinear parameters in the Gaussian function model; the linear parameters are expressed (...) with nonlinear parameters by the function. Thereafter, the optimal estimation of the characteristic parameters of the Gaussian function components was transformed into a least-squares problem only comprising nonlinear parameters. Finally, the Levenberg–Marquardt algorithm was used to solve these nonlinear parameters, whereas the linear parameters were calculated simultaneously in each iteration, and the estimation results satisfying the nonlinear least-square criterion were obtained. Five groups of waveform decomposition simulation data and ICESat/GLAS satellite LiDAR waveform data were used for the parameter estimation experiments. During the experiments, for the same accuracy, the separable nonlinear least-squares optimization method required fewer iterations and lesser calculation time than the traditional method of not separating parameters; the maximum number of iterations was reached before the traditional method converged to the optimal estimate. The method of separating variables only required 14 iterations to obtain the optimal estimate, reducing the computational time from 1128 s to 130 s. Therefore, the application of the separable nonlinear least-squares problem can improve the calculation efficiency and convergence speed of the parameter solution process. It can also provide a new method for parameter estimation in the Gaussian model for LiDAR waveform decomposition. (shrink)

Link prediction, which aims to forecast potential or missing links in a complex network based on currently observed information, has drawn growing attention from researchers. To date, a host of similarity-based methods have been put forward. Usually, one method harbors the idea that one similarity measure is applicable to various networks, and thus has performance fluctuation on different networks. In this paper, we propose a novel method to solve this issue by regarding link prediction as a multiple-attribute decision-making problem. In (...) the proposed method, we consider RA, LP, and CAR indices as the multiattribute for node pairs. The technique for order performance by similarity to ideal solution is adopted to aggregate the multiattribute and rank node pairs. The proposed method is not limited to only one similarity measure, but takes separate measures into account, since different networks may have different topological structures. Experimental results on 10 real-world networks manifest that the proposed method is superior in comparison to state-of-the-art methods. (shrink)

I visited Professor Hintikka and discussed with him about ten times during my visit to Harvard University from 2000 to 2001. I can still vividly remember my first visit to him in his office and then Jaakko inviting me for lunch in the BU faculty club, including how I tried my best to ‘show’ my knowledge of Aristotle and Frege, with a hope that it was my first but not the last talk with him and how really excited I was (...) when he kindly said to me after lunch: “You are welcome to visit me again at the same time in two weeks”. In my view Hintikka was a brilliant philosopher and logician, and also a very kind and engaging person from and with whom one can constantly learn new ideas without limitations. (shrink)

A double delayed hybrid stochastic prey-predator bioeconomic system with Lévy jumps is established and analyzed, where commercial harvesting on prey and environmental stochasticity on population dynamics are considered. Two discrete time delays are utilized to represent the maturation delay of prey and gestation delay of predator, respectively. For a deterministic system, positivity of solutions and uniform persistence of system are discussed. Some sufficient conditions associated with double time delays are derived to discuss asymptotic stability of interior equilibrium. For a stochastic (...) system, existence and uniqueness of a global positive solution are studied. By using the invariant measure theory and singular boundary theory of diffusion process, existence of stochastic Hopf bifurcation and stochastic stability are investigated. By constructing appropriate Lyapunov functions, asymptotic dynamic behavior of the proposed hybrid stochastic system with double time delays and Lévy jumps is discussed. Numerical simulations are provided to show consistency with theoretical analysis. (shrink)

Thirty-years research seemed to reveal that there is a U-shape development in children’s theory-of-mind abilities: infants have the competence to attribute false beliefs properly when measured by looking time and anticipatory eye gaze, while children younger than four systematically fail the standard false belief tasks measuring their voluntary responses. Why is it, and why does the infants’ implicit belief reasoning seem to be free from the inhibition and selection requirements? Are there really two systems, one explicit measured by verbal tasks (...) and one implicit shown in non-verbal context, involved in theory-of-mind reasoning? We investigated preschoolers’ and adults’ belief attribution with the anticipatory looking method, in both a low-demand and high-demand false-belief reasoning tasks. Subjects’ nonverbal performances turned out to be better in the low-demand condition: they showed strong bias to look at the locations congruent with the actor’s false belief. However, neither adults’ nor children’s eye gaze in the high-demand condition showed belief-congruent anticipations. Besides, adults’ predictions were better with verbal responses than with nonverbal anticipatory eye gaze. Together, these results suggested that there are dual systems involved in belief reasoning, and the two systems share similar property in terms of their sensitivity to the task demands. (shrink)

I visited Professor Hintikka and discussed with him about ten times during my visit to Harvard University from 2000 to 2001. I can still vividly remember my first visit to him in his office and then Jaakko inviting me for lunch in the BU faculty club, including how I tried my best to ‘show’ my knowledge of Aristotle and Frege, with a hope that it was my first but not the last talk with him and how really excited I was (...) when he kindly said to me after lunch: “You are welcome to visit me again at the same time in two weeks”. In my view Hintikka was a brilliant philosopher and logician, and also a very kind and engaging person from and with whom one can constantly learn new ideas without limitations. (shrink)