Quantum cognition research applies abstract, mathematical principles of quantum theory to inquiries in cognitive science. It differs fundamentally from alternative speculations about quantum brain processes. This topic presents new developments within this research program. In the introduction to this topic, we try to answer three questions: Why apply quantum concepts to human cognition? How is quantum cognitive modeling different from traditional cognitive modeling? What cognitive processes have been modeled using a quantum account? In addition, a brief introduction to quantum probability (...) theory and a concrete example is provided to illustrate how a quantum cognitive model can be developed to explain paradoxical empirical findings in psychological literature. (shrink)

Question order effects are commonly observed in self-report measures of judgment and attitude. This article develops a quantum question order model (the QQ model) to account for four types of question order effects observed in literature. First, the postulates of the QQ model are presented. Second, an a priori, parameter-free, and precise prediction, called the QQ equality, is derived from these mathematical principles, and six empirical data sets are used to test the prediction. Third, a new index is derived from (...) the model to measure similarity between questions. Fourth, we show that in contrast to the QQ model, Bayesian and Markov models do not generally satisfy the QQ equality and thus cannot account for the reported empirical data that support this equality. Finally, we describe the conditions under which order effects are predicted to occur, and we review a broader range of findings that are encompassed by these very same quantum principles. We conclude that quantum probability theory, initially invented to explain order effects on measurements in physics, appears to be a powerful natural explanation for order effects of self-report measures in social and behavioral sciences, too. (shrink)

This study investigated the impact of transformational leadership on affective organizational commitment and job performance with the mediating role of employee engagement. This study gathered data from 845 hotel employees in China and the structural equation modeling technique was used to verify the results. The findings indicated that transformational leadership has a positive effect on affective organizational commitment and job performance. Meanwhile, results showed that employee engagement partially mediates in the relationship between transformational leadership, affective organizational commitment, and job performance. (...) This study contributes to the research on transformational leadership in the Chinese hospitality sector and analyzes its effects on work performance metrics. Furthermore, theoretical and practical implications were also discussed in this article. (shrink)

Memory exhibits episodic superposition, an analog of the quantum superposition of physical states: Before a cue for a presented or unpresented item is administered on a memory test, the item has the simultaneous potential to occupy all members of a mutually exclusive set of episodic states, though it occupies only one of those states after the cue is administered. This phenomenon can be modeled with a nonadditive probability model called overdistribution (OD), which implements fuzzy-trace theory's distinction between verbatim and gist (...) representations. We show that it can also be modeled based on quantum probability theory. A quantum episodic memory (QEM) model is developed, which is derived from quantum probability theory but also implements the process conceptions of global matching memory models. OD and QEM have different strengths, and the current challenge is to identify contrasting empirical predictions that can be used to pit them against each other. (shrink)

When constrained by limited resources, how do we choose axioms of rationality? The target article relies on Bayesian reasoning that encounter serioustractabilityproblems. We propose another axiomatic foundation: quantum probability theory, which provides for less complex and more comprehensive descriptions. More generally, defining rationality in terms of axiomatic systems misses a key issue: rationality must be defined by humans facing vague information.

This paper endeavors to appraise scholarly works from the 1940s to the contemporary era, examining the scientific quest to transpose human cognition and consciousness into a digital surrogate, while contemplating the potential ramifications should humanity attain such an abstract level of intellect. The discourse commences with an explication of theories concerning consciousness, progressing to the Turing Test apparatus, and intersecting with Damasio’s research on the human cerebrum, particularly in relation to consciousness, thereby establishing congruence between the Turing Test and Damasio’s (...) notions of consciousness. Subsequently, the narrative traverses the evolutionary chronology of transmuting human cognition into machine sapience, and delves into the fervent endeavors to metamorphose human minds into synthetic counterparts. Additionally, theoretical perspectives from the domains of philosophy, psychology, and neuroscience provide insight into the constraints intrinsic to AI implementations, contentious hypotheses, the perils concealed within artificial networks, and the ethical considerations necessitated by AI frameworks. Furthermore, contemplation of prospective repercussions facilitates the refinement of strategic approaches to safeguard our future Augmented Age Realities within AI, circumventing the prospect of inhabiting an intimidating technopolis where a mere 30% monopolize the intellect and ingenuity of the remaining 70% of human minds. (shrink)

Quantum cognition is an emerging field that uses mathematical principles of quantum theory to help formalize and understand cognitive systems and processes. The topic on the potential of using quantum theory to build models of cognition (Volume 5, issue 4) introduces and synthesizes its new development through an introduction and six core articles. The current issue presents 14 commentaries on the core articles. Five key issues surface, some of which are interestingly controversial and debatable as expected for a new emerging (...) field. (shrink)

Assessment of the quality of governance has so far relied on socioeconomic statistics and expert opinions, while largely neglecting citizens satisfaction with their government in six Asian-Pacific countries: America, Australia, China, India, Japan, and Russia. I found citizen satisfaction with the public services they receive, such as education, healthcare, and public safety, matters most in their assessment of government performance. Individual satisfaction with income, job, and housing also matters. The respondent will disapprove government performance if he or she thinks corruption (...) is serious in government, or elected officials stop caring about citizens once voting is finished. In terms of macro variables, economic condition of a country seems to matters significantly. Especially, if a country's economy is growing fast, citizens are much more likely to be satisfied with government performance. Large within-country variations exist in countries such as China and India, where citizens of different cities or regions may give rather different assessments of government, suggesting many contextual variables not captured by this study. Lastly, citizens evaluation of governance quality, such as the World Bank Governance Index. This raises both methodological and normative issues regarding the proper approaches to measuring good governance. (shrink)

We surveyed 2,221 rural residents in twenty towns across ten provinces in China. Structural equation models (SEM) found the quality of government, impartiality of institutions, and authoritarian values among citizens are the three main sources of citizensopen nomination and direct election (ONDE)traditional authority orientationinputoutputs’ less.

A novel data-driven model-free adaptive control approach is first proposed by combining the advantages of model-free adaptive control and data-driven optimal iterative learning control, and then its stability and convergence analysis is given to prove algorithm stability and asymptotical convergence of tracking error. Besides, the parameters of presented approach are adaptively adjusted with fuzzy logic to determine the occupied proportions of MFAC and DDOILC according to their different control performances in different control stages. Lastly, the proposed fuzzy DDMFAC approach is (...) applied to the control of particle quality in drug development phase of spray fluidized-bed granulation process, and its control effect is compared with MFAC and DDOILC and their fuzzy forms, in which the parameters of MFAC and DDOILC are adaptively adjusted with fuzzy logic. The effectiveness of the presented FDDMFAC approach is verified by a series of simulations. (shrink)

This paper investigates the antidisturbance formation control problem for a class of cluster aerospace unmanned systems suffering from multisource high-dynamic uncertainties. Firstly, to estimate and compensate the uncertainties existing in CAUS coordinate dynamics, an adaptive antidisturbance formation control law, which is combined by a robust adaptive control law and the second order disturbance observer, has been designed. Secondly, aiming at the adverse influences caused by the nonlinear time-varying nonlinearities existing in the formation flight dynamics, the radial basis function neural network (...) is introduced. Furthermore, considering the rapidly varying characteristics of the aforementioned formation flight nonlinearities, a novel board RBFNN has been constructed and utilized to improve the approximation and compensation performance. In virtue of the fusing of the B-RBFNN and the second-order disturbance observer-based adaptive formation control law, the rapid response rate and the higher control accuracy of the formation control system can be achieved. As a result, a novel B-RBFNN-based intelligence adaptive antidisturbance formation control algorithm has been established for CAUS trajectory coordination and formation flight. Numerical simulation results are proposed to illustrate the effectiveness and advantages of the proposed B-RBFNN-based intelligent adaptive formation control method for the CAUS. (shrink)

Whale optimization algorithm, known as a novel nature-inspired swarm optimization algorithm, demonstrates superiority in handling global continuous optimization problems. However, its performance deteriorates when applied to large-scale complex problems due to rapidly increasing execution time required for huge computational tasks. Based on interactions within the population, WOA is naturally amenable to parallelism, prompting an effective approach to mitigate the drawbacks of sequential WOA. In this paper, field programmable gate array is used as an accelerator, of which the high-level synthesis utilizes (...) open computing language as a general programming paradigm for heterogeneous System-on-Chip. With above platform, a novel parallel framework of WOA named PWOA is presented. The proposed framework comprises two feasible parallel models called partial parallel and all-FPGA parallel, respectively. Experiments are conducted by performing WOA on CPU and PWOA on OpenCL-based FPGA heterogeneous platform, to solve ten well-known benchmark functions. Meanwhile, other two classic algorithms including particle swarm optimization and competitive swarm optimizer are adopted for comparison. Numerical results show that the proposed approach achieves a promising computational performance coupled with efficient optimization on relatively large-scale complex problems. (shrink)

In the complex environment, the suddenly changing structural parameters and abrupt actuator failures are often encountered, and the negligence or unproper handling method may induce undesired or unacceptable results. In this paper, taking the suddenly changing structural parameters and abrupt actuator failures into consideration, we focus on the robust adaptive control design for a class of heterogeneous Takagi–Sugeno fuzzy nonlinear systems subjected to discontinuous multiple uncertainties. The key point is that the switch modes not only vary with the system time (...) but also vary with the system states, and the intrinsic heterogeneous characteristics make it difficult to design stable controllers. Firstly, the concepts of differential inclusion are introduced to describe the heterogeneous fuzzy systems. Meanwhile, a fundamental lemma is provided to demonstrate the criteria of the boundness for a Filippov solution. Then, by using the set-valued Lie derivative of the Lyapunov function and introducing a vector of specific continuous functions, the closed-loop T-S fuzzy differential inclusion systems are proved to be ultimately bounded. The sufficient conditions for system stability are derived in term of linear matrix inequalities, which can be solved directly. Finally, a numerical example is provided to illustrate the effectiveness of the proposed control algorithm. (shrink)

ntroduction Since China’s gradualist reform started in the early 1980s, its governance record has been relatively successful. Despite a large number of severe challenges, the government in Beijing has managed outstanding economic performance and large-scale social transformation (Naughton 2007). Overall, the regime seems to enjoy relatively high levels of public support (Gilley 2006; Wang 2009), and a reform and state-building process controlled by the ruling Chinese Communist Party looks set to continue for the next ten to 20 years. One key (...) element of the Chinese political or governing system is management of its Party and government officials, or “cadres” in its own terminology. We argue that the Party-state’s personnel management features a meritocratic system that has so far largely evaded scholarly attention. This system retains strong influences from the Confucian scholar-official tradition of China’s imperial past, as well as the Leninist “vanguard party” tradition that was established in the revolutionary and Maoist eras. In recent years, however, this system has paid increasing attention to nurturing managerial competence for the purpose of administering a modern economy and a modern society. How the Party attempts to strike a balance between political loyalty and professional competence is the focus of this study. We will examine several aspects of the Chinese cadre management system. These include the formal rules, institutions, and actual practices regarding (1) recruitment, (2) development, and (3) promotion of officials. From this analysis we will understand how political loyalty and professional competence are defined and measured in the Party’s personnel regime, and how a balance is sought between the two. We will also look at the changes that are taking place in the relative importance, or weights, of these two criteria as the Party-state tries to build a modern governance machine. We find that while political reliability and commitment still feature prominently when the Party staffs the state and party bodies, rapid economic development and social changes have amplified the need for capable and competent managers and administrators, in order to deliver successful governance. Whereas in the past political loyalty played a crucial role for officials’ success within the state ranks, today professional competence has become more central. Whether this trend will continue, to a future state in which political loyalty becomes almost irrelevant, will be discussed toward the end of the chapter. (shrink)

The precise orchestration of two opposing protein complexes – one in the cytoplasm (β‐catenin destruction complex) and the other at the plasma membrane (LRP6 signaling complex) – is critical for controlling levels of the transcriptional co‐factor β‐catenin, and subsequent activation of the Wnt/β‐catenin signal transduction pathway. The Wnt pathway component Axin acts as an essential scaffold for the assembly of both complexes. How the β‐catenin destruction and LRP6 signaling complexes are modulated following Wnt stimulation remains controversial. A recent study in (...) Science by He and coworkers reveals an underlying logic for Wnt pathway control in which Axin phosphorylation toggles a switch between the active and inactive states. This mini‐review focuses on this and two other recent studies that provide insight into the initial signaling events triggered by Wnt exposure. We emphasize regulation of the β‐catenin destruction and LRP6 signaling complexes and propose a framework for future work in this area. (shrink)

During the COVID-19 public health crisis, market failures such as shortage of supplies and soaring prices of anti-epidemic materials – with masks as the core – have occurred. In essence, such anti-epidemic materials have the dual nature of necessities with low elasticity of demand and private products with positive externalities. This research explores the understanding of anti-pandemic materials and how different initiatives, and evaluation to increase availability of necessary resources can be effective in curbing a pandemic. Market regulation results in (...) a non-Pareto optimal allocation of resources and the difficulty of exerting the positive externalities of products. However, in China, the market failure of anti-epidemic materials was quickly resolved, due to the institutional advantages of socialism with Chinese characteristics, the social responsibility drive of domestic enterprises, and cultural genes that focus on equity and concern for the disadvantaged. The optimal allocation of anti-epidemic materials gave access to exerting efficiency and fairness effects, positive external effects, and public effects. (shrink)

A puzzling finding from research on strategic decision making concerns the effect that predictions have on future actions. Simply stating a prediction about an opponent changes the total probability (pooled over predictions) of a player taking a future action as compared to not stating any prediction. These interference effects are difficult to explain using traditional economic models, and instead these results suggest turning to a quantum cognition approach to strategic decision making.

Topics in Cognitive Science, Volume 14, Issue 3, Page 492-507, July 2022.

This book presents a comprehensive review of the emerging theories from cognitive science that integrate both decision processes and choice behavior.

本书是在超越哲学、伦理学、社会学、生态学、人类学、政治学、经济学和神学的传统分类研究的基础上,对环境伦理问题进行跨学科的综合研究。.

Economic development and the social changes it brings are changing people's world views among the East Asia Confucian societies. Most notable is a change from stressing hard work and achievement toward stressing enjoyment, self expression, and a fulfilling lifestyle. With this people also have become more pro-equality and tolerant toward different ideas and styles. These newly emerged views of modernized societies can be called values. People with stronger postmodern values are more active politically, more assertive in demanding individual and political (...) rights, and more emphatic in their preference for democratic government. The implication is that people in East Asia will demand more democracy as economic development proceeds and as they acquire these postmodern values. (shrink)

In this paper, we put forward a time-delay ecological competition system with food restriction and diffusion terms under Neumann boundary conditions. For the case without delay, the conditions for local asymptotic stability and Turing instability are constructed. For the case with delay, the existence of Hopf bifurcation is demonstrated by analyzing the root distribution of the corresponding characteristic equations. Furthermore, by using the normal form theory and the center manifold reduction of partial functional differential equations, explicit formulas are obtained to (...) determine the direction of bifurcations and the stability of bifurcating periodic solutions. Finally, some simulation examples are provided to substantiate our analysis. (shrink)

To cope with economic globalization and improve the competitiveness of transnational start-ups, the impact of the work environment and innovation behavior on corporate performance of multinational new ventures is analyzed. First, a model of the interaction among environment, innovation behavior, and enterprise performance is proposed. Then, 296 transnational start-ups in coastal areas are surveyed, and the model results are analyzed. Finally, a series of results are obtained. The results show that from the perspective of psychology, work dynamic organizational learning environment (...) has a positive impact on enterprise performance, and resource environment has a significant positive impact on enterprise performance. Strategic environment also positively affects enterprise performance. Therefore, the working environment of multinational new ventures has a positive impact on firm performance, and the mediating function between the working environment and firm performance is firm innovation behavior. With the research to achieve enterprise innovation of multinational new ventures by improving their response to the dynamic environment, the corporate performance has been greatly promoted, and finally, the new ventures would participate in the international market competition. (shrink)

本书内容:人文科学视野中的意义问题与文学意义的研究、文学意义的存在方式、阅读与释义、中西文学意义观之比较、各体文学中的意义问题等。.

本书探讨了中国传统伦理道德问题,包括中国传统道德哲学和道德教育、中国传统道德思想和道德教育思想的基本特点、孔子以“仁”为核心的道德观和道德教育思想等内容。.

It is important to identify the developmental antecedents of externalizing behavioral problems in early childhood. The current study examined the main effects of maternal personality and its interactive effects with child temperamental reactivity in predicting child externalizing behavioral problems, indicated by impulsivity and aggression. This study was composed of 70 children (Mage= 17.6 months, SD = 3.73) and their mothers. The results showed that maternal agreeableness was negatively associated with child impulsivity. Child temperamental reactivity moderated the effect of maternal conscientiousness (...) on child impulsivity in support of the differential susceptibility model. Specifically, for highly reactive children, maternal conscientiousness was negatively associated with child impulsivity whereas this association was nonsignificant for low reactive children. Child reactivity also moderated the contribution of maternal neuroticism to child impulsivity. That is, maternal neuroticism was negatively associated with impulsivity, only for highly reactive children. (shrink)

Chronic stress impairs working memory, but few studies have explored the protective factors of the impairment. We aimed to investigate the effect of self-awareness on WM processing in people under chronic stress. Participants under chronic stress completed an n-back task after a self-awareness priming paradigm during which electroencephalograms were recorded. The behavioral results showed that participants whose self-awareness was primed reacted faster and more accurately than the controls. Event-related potentials revealed the following P2 was more positive in the self-awareness group (...) than in the controls, indicating that self-awareness enhanced allocation of attention resources at the encoding stage. N2 was attenuated in the self-awareness group compared with the controls, indicating that smaller attention control efforts were required to complete WM tasks adequately after self-awareness priming; and enhanced late positive potential was evoked in the self-awareness group compared with the controls, suggesting self-awareness enabled participants to focus attention resources on the information at the maintenance stage. Critically, mediational analyses showed that LPP mediated the relationship between self-awareness and WM response times. This result suggests that the fact that participants whose self-awareness was primed were able to achieve better behavioral performances may be attributed to their mobilization of sustained attention resources at the maintenance stage. In summary, self-awareness exerted a protective effect on WM in those under chronic stress, which may be due to the enhancements in the allocation and mobilization of attention. These results could be used to develop more specific coping strategies for people under chronic stress. (shrink)

With the increasing proportion of the logistics industry in the economy, the study of the vehicle routing problem has practical significance for economic development. Based on the vehicle routing problem, the customer presence probability data are introduced as an uncertain random parameter, and the VRP model of uncertain customers is established. By optimizing the robust uncertainty model, combined with a data-driven kernel density estimation method, the distribution feature set of historical data samples can then be fitted, and finally, a distributed (...) robust vehicle routing model for uncertain customers is established. The Q-learning algorithm in reinforcement learning is introduced into the high-level selection strategy using the hyper-heuristic algorithm, and a hyper-heuristic algorithm based on the Q-learning algorithm is designed to solve the problem. Compared with the certain method, the distributed robust model can effectively reduce the total cost and the robust conservatism while ensuring customer satisfaction. The improved algorithm also has good performance. (shrink)