Improvements of the happiness of the rural population are an essential sign of the effectiveness of relative poverty governance. In the context of today’s digital economy, assessing the relationship between digital literacy and the subjective happiness of rural low-income groups is of great practicality. Based on data from China Family Panel Studies, the effect of digital literacy on the subjective well-being of rural low-income groups was empirically tested. A significant happiness effect of digital literacy on rural low-income groups was found. (...) Digital literacy promotes the subjective happiness of rural low-income groups through income increase and consumption growth effects. The observed happiness effect is heterogeneous among different characteristic groups, and digital literacy significantly positively impacts the subjective happiness of rural low-income groups. Decomposition of subjective happiness into life satisfaction and job satisfaction shows that digital literacy significantly positively affects the job and life satisfaction of rural low-income groups. This paper demonstrates that digital literacy induces a practical happiness effect. To further strengthen the subjective welfare effect of digital literacy in the construction of digital villages, the government should focus on cultivating digital literacy among low-income groups from the demand side. The construction of digital infrastructure should be actively promoted from the supply side. (shrink)

ObjectiveWe conducted the following cross-sectional study to comprehensively assess the anxiety among Chinese international students who studied online during the COVID-19 pandemic and its influencing factors.MethodsQuestionnaires were distributed through “Sojump,” and a total of 1,090 valid questionnaires were collected. The questionnaire was divided into two parts: general situation and anxiety assessment of students. The former used a self-made questionnaire, and the international general GAD-7 scale was used to measure anxiety. Chi-square test was used to analyze the differences between groups, and (...) logistic regression analysis was performed for the factors with differences.ResultsAnxiety was found in 707 of 1,090 international students. Chi-square test and multivariate Logistic regression analysis showed that the incidence of anxiety was higher in the group under 22 years of age than in the group over 22 years of age ; International students living in big cities had a higher incidence of anxiety than those living in rural areas ; international students who socialized 3 times or less monthly had a higher incidence of anxiety than those who socialized more than 3 times per month ; international students who expected purely online teaching had a higher incidence of anxiety than those who expected purely offline teaching or dual-track teaching ; international students with a subjective score of online learning experience of 6 or less had a higher incidence of anxiety than those with subjective scores of more than 6. However, gender, emotional status, BMI, major of study, vaccination status, and degree type had no significant difference in the incidence of anxiety among international students who studied online during the COVID-19 pandemic.ConclusionDuring COVID-19, international students who were younger, came from big cities, had low social frequency, expected purely online teaching, and had poor experience of online classes were risk factors for anxiety during online classes. (shrink)

The growing Chinese middle class and their accumulation of wealth and economic capital have seen an increasing number of Chinese students pursuing their education in the West. Due to this growing number, motivations behind their decision to study abroad warrant scholarly treatment. This article discusses the motives of Chinese middle-class families and their children in seeking studying abroad. The paper reports on a recent study of 166 students on American campuses from 2017 to 2018. It uses Bourdieusian concepts of capital, (...) habitus, and the idea of social mobility and social reproduction, to understand Chinese middle-class families’ strategic decisions around studying overseas in relation to employability, labour market competitiveness, and family support. Studying abroad, therefore, is construed by Chinese middle class families as a way of pursuing and preserving their social status and social mobility. (shrink)

In this study, we draw on moral cleansing theory to investigate the consequence of unethical pro-organizational behavior from the perspective of the actors. Specifically, we hypothesize that after conducting UPB, people may feel guilty and tend to cleanse their wrongdoings by providing suggestions or identifying problems at work. We further hypothesize that the above relationship is moderated by the actor’s moral identity symbolization. We conducted three studies, including experiment and surveys, to test our hypotheses. Results of these studies show consistent (...) support to our hypotheses. In particular, individuals reported more felt guilt after conducting UPB, and they tended to compensate with more prohibitive and promotive voice subsequently. In addition, the indirect relationship from UPB acting to both voice behaviors via felt guilt was stronger for people with a high level of moral identity symbolization. Theoretical and practical implications are discussed. (shrink)

This paper reconciles an inconsistency between the benefits of mind wandering and a prominent conception of attention in philosophy and cognitive psychology, namely, the prioritization view. Since we prioritize the information in a task less if we are doing it while mind wandering compared to solely concentrating on it, why does our performance in the task sometimes improve when we are mind wandering? To explain this, we offer a conception of diffuse attention that generalizes from external to internal forms of (...) attention and captures deep commonalities between the two (Chun et al. 2011). We conceptualize mind wandering as an instance of internal diffuse attention that also induces diffuse attention in other concurrent tasks. Moreover, pace the prioritization view, certain tasks are in fact better performed with diffuse attention, which prioritizes information less than focused attention. Our account of mind wandering as an instance of the more general category of diffuse attention improves upon current leading philosophical views of mind wandering (such as Irving 2016) by better explaining the interaction between mind wandering and other tasks. (shrink)

The development of artificial perception technologies has surpassed the limitations of human natural senses, expanding humanity's perspectives on the world and self-awareness. However, it has simultaneously introduced new ethical challenges. These emerging challenges necessitate a philosophical reexamination of concepts such as 'nature,' 'artificial,' and ' invasiveness ' to better address associated issues. The advancement of artificial perception technologies not only involves scientific and practical applications but also profoundly influences human values, social ethics, and the future trajectory of human civilization. Amidst (...) the current transformation and transition in modes of cognition, reevaluating the relationship between technology and humanity becomes a crucial task. (shrink)

An amplitude controllable hyperjerk system is constructed for chaos producing by introducing a nonlinear factor of memristor. In this case, the amplitude control is realized from a single coefficient in the memristor. The hyperjerk system has a line of equilibria and also shows extreme multistability indicated by the initial value-associated bifurcation diagram. FPGA-based circuit realization is also given for physical verification. Finally, the proposed memristive hyperjerk system is successfully predicted with artificial neural networks for AI based engineering applications.

The model of language can relatively concretely reveal the mechanism of the epistemology, which is extended by the ontology that takes “person” as the unit. It unveils an intuitable dimension to represent the epistemolog’s paradigm and limitations. Deriving from the inherent relation between epistemology and ontology, the retrospection of the epistemology’s ontological origin can be actualized by locating or grasping the epistemological first person’s ontological essence. Hence, the illusional and frail essence of the ontology behind this epistemology would be uncovered. (...) “Person” is not a stable unit in the ontological world, since the application of this unit stimulates the development of the operating style of the epistemology which relies on the supplement of paradox. After this study that intends to get the epistemological and ontological truth of the current using nominative, the new era of one or more unknown but solid epistemology and its ontology will be gradually recognized. Furthermore, the circumstance of past and current philosophical study is going to be changed. (shrink)

A motivating reason is a reason an agent acts for. There are two pre-theoretical intuitions about motivating reasons that seem irreconcilable. One intuition suggests that motivating reasons are factive, and the other says the opposite. As a result, a divide exists between philosophers, each side prioritizing one intuition to the detriment of the other. In this essay, I present the deliberative theory of motivating reasons and defend the second intuition that motivating reasons are non-factive. To do this, we must understand (...) motivating reasons’ role in our deliberation. I show that non-factive motivating reasons are compatible with the underlying role which gives rise to the intuition of reasons’ factivity. (shrink)

Some moral philosophers in the West hold that adult children have no more moral obligation to support their elderly parents than does any other person in the society, no matter how much sacrifice their parents made for them or what misery their parents are presently suffering. This is because children do not ask to be brought into the world or to be adopted. Therefore, there is a "basic asymmetry between parental and the filial obligations." I argue against the Daniels/English thesis (...) by employing the traditional Confucian view of the nature of filial obligation. On the basis of a distinction between 'moral duty' and 'moral responsibility' and the Confucian concept of justice, I argue that the filial obligation of adult children to care respectfully for their aged parents is not necessarily self-imposed. I conclude that due to the naturalistic character of the family, the nature of our familial obligations cannot be consensual, contractarian and voluntarist, but instead existential, communal and historical. (shrink)

This paper studies the state of charge estimation of supercapacitors and lithium batteries in the hybrid energy storage system of electric vehicles. According to the energy storage principle of the electric vehicle composite energy storage system, the circuit models of supercapacitors and lithium batteries were established, respectively, and the model parameters were identified online using the recursive least square method and Kalman filtering algorithm. Then, the online estimation of SOC was completed based on the Kalman filtering algorithm and unscented Kalman (...) filtering algorithm. Finally, the experimental platform for SOC estimation was built and Matlab was used for calculation and analysis. The experimental results showed that the SOC estimation results reached a high accuracy, and the variation range of estimation error was [−0.94%, 0.34%]. For lithium batteries, the recursive least square method is combined with the 2RC model to obtain the optimal result, and the estimation error is within the range of [−1.16%, 0.85%] in the case of comprehensive weighing accuracy and calculation amount. Moreover, the system has excellent robustness and high reliability. (shrink)

This policy-capturing study, conducted in China, investigated the cognitive basis of managerial decisions to make a corporate charitable donation, a global issue in the context of corporate social responsibility research and practice. Participants responded to a series of scenarios manipulating pressure from the five stakeholders most commonly addressed by CSR research. The independent variables examined included organizational factors and the participants’ personal values. Results indicate a large positive effect of shareholder and governmental pressure on the decision with lesser positive effects (...) from customers and competitors. Surprisingly, employee pressure had a negative effect on the decision to make a charitable donation. Further, personal values and perceived CEO attitudes toward charity were significantly related to the decisions participants made. In line with our theorizing, the findings indicate that a combination of personal, organizational, and institutional factors was salient in the minds of decision makers. (shrink)

Despite chatbots’ increasing popularity, firms often fail to fully achieve their benefits because of their underutilization. We argue that ethical concerns dealing with chatbot-related privacy and security may prevent firms from developing a culture of embracing chatbot use and fully integrating chatbots into their workflows. Our research draws upon the stimulus-organism-response theory (SOR) and a study by Floridi et al. (Minds and Machines, 28:689–707, 2018 ) on the ethical artificial intelligence framework to investigate how chatbot affordances can foster employees’ positive (...) perceptions of privacy protection and security, which may increase perceived ethics in beneficence and ultimately support recommendation intentions. To validate our proposed research model and provide a robust understanding of chatbot-related ethics, we conducted two studies following a mixed-methods design. We used Study 1 as the quantitative phase to collect survey data from full-time marketing employees, and the results provided strong support for our research model based on the relevant theory and literature. We used Study 2 as the qualitative phase to collect interview data to further validate our research model, and the results confirmed Study 1’s quantitative findings and provided complementary insights into the phenomenon of interest. Our studies contribute to the literature by providing initial insights into chatbot-related ethics through the exploration of chatbot affordances, security, and privacy protection as the antecedents and through depictions of how these variables foster employees’ perceived ethics in beneficence and recommendation intention. Our results can inform practitioners how to develop ethics involving chatbots and promote a chatbot-friendly culture such that firms can fully achieve chatbots’ benefits and can thus increase their competitive advantages in emerging chatbot marketing. (shrink)

As literary scholars, we are often puzzled by these questions raised from among the reading public: What is the meaning of this literary work? How does the author express his/her intention to portray the characters or narrate the story? How shall we as literary critics interpret the meaning of the literary work? Can a certain literary work have only one meaning? Obviously this is not the case. In order to answer the above questions, we present this special cluster of articles (...) to readers.Péter Hajdu says pertinently in his essay, "We may suppose that the meaning of a literary text comes from somewhere, but we should not imagine that there is only one source it comes from." Thus, to Hajdu, meaning can have many... (shrink)

Most research in environmental psychology is conducted in individualistic countries and focuses on factors pertaining to individuals. It is yet unclear whether these findings also apply to more collectivistic countries, in which group factors might play a prominent role. In the current paper, we test the individual-focused value–identity–behaviour pathway, in which personal biospheric values relate to pro-environmental actions via environmental self-identity, in an individualistic and a collectivistic country. Furthermore, we test in both countries whether a new group-focused pathway also exists, (...) in which group values relate to pro-environmental behaviour via environmental group identity, particularly in collectivistic countries. Questionnaire studies were conducted among Dutch and Chinese students. Our results indicated that personal biospheric values, mostly via environmental self-identity, predict pro-environmental behaviour in both countries. We also found initial support for our newly proposed value–identity–behaviour pathway at the group level, particularly in China. Yet, in both countries, the association between group-level variables and pro-environmental behaviour was weaker than for personal-level variables, and partly overlapped with personal-level variables. Our findings show the relevance of personal- and group-level factors in understanding pro-environmental behaviour in both individualistic and collectivistic countries, which has strong theoretical and practical implications, particularly for developing international strategies to promote pro-environmental actions across the world. (shrink)

In this study, we focus on the problem of information expiration when using the traditional collaborative filtering algorithm and propose a new collaborative filtering algorithm by integrating the time factor. This algorithm considers information influence attenuation over time, introduces an information retention period based on the information half-value period, and proposes a time-weighted function, which is applied to the nearest neighbor selection and score prediction to assign different time weights to the scores. In addition, to further improve the quality of (...) the nearest neighbor selection and alleviate the problem of data sparsity, a method of calculating users’ sentiment tendency by analysis of user review features is proposed to mine users’ attitudes about the reviewed items, which expands the score matrix. The time factor and sentiment tendency are then integrated into the K-means clustering algorithm to select the nearest neighbor. A hybrid collaborative filtering model based on the improved K-means clustering algorithm is then proposed, by combining item-based and user-based collaborative filtering. Finally, the experimental results show that the proposed algorithm can address the time effect and sentiment analysis in recommendations and improve the predictive performance of the model. (shrink)

Technology is increasingly prominent as a topic of philosophical and normative reflection, as recent technological advancements in areas such as artificial intelligence and climate technologies have demonstrated their capability to disrupt our existing social, political, and moral practices. Recently, there is a call to diversify philosophy of technology, a field which has so far largely failed to engage with philosophical traditions outside the United States and Europe. While there are an increasing number of works that have attempted to answer the (...) call, they are primarily attempts to apply normative values and/or frameworks of specific philosophical and cultural traditions. These works have not delved extensively into the questions of technology in these philosophical and cultural traditions; in particular, they have yet to explore how these philosophical and cultural traditions conceive and construct human-technology relations, namely how humans and technology are—and should be—related. This essay distinguishes itself from other attempts to apply normative values and/or frameworks of specific philosophical and cultural traditions. Our aim is to offer a Confucian view of human-technology relations through reviving three Confucian ideas in early Confucianism, namely Creating Qi from the Images (zhi qi shang xiang 制器尚象), Evoking Moral Feelings through Things (yi gu xing wu 以故興物), and Embedding the Rites into Qi (cang li yu qi 藏禮於器). Constructing human-technology relations in the Confucian perspective will offer us an account of how Confucianism sees technology (co-)shaping our perception of and action in the world; it can also provide us with alternative ways to consider technology’s normative implications. (shrink)

本书以志体为主, 兼用述、记、传、图、表、录诸体, 力求客观、科学地记述曾子的生平、贡献及影响。设《家世生平》、《著作》、《思想学说》、《影响与研究》、《历代崇颂》、《曾子后裔》及《遗址遗迹与纪念性建筑》七篇.

This study examined the relationships between the role of the instructor and university students’ learning outcomes in cloud-based classrooms during the COVID-19 pandemic. The results of an online survey of 7,210 university students in mainland China revealed that the students’ perceived learning outcomes and learning satisfaction were positively related to instructor innovation and negatively related to instructor performance. Instructional support was positively related to the students’ perceived learning outcomes but not directly related to their learning satisfaction. The students’ academic self-efficacy (...) mediated the influence of instructional support and instructor innovation on their perceived learning outcomes and learning satisfaction. The results contribute to knowledge of the role instructors play in facilitating students’ learning outcomes in higher education and suggest ways to improve the learning environment and learning outcomes, especially in cloud-based virtual classrooms. (shrink)

In recent years, supply chain finance is exploited to solve the financing difficulties of small- and medium-sized enterprises. SME credit risk assessment is a critical part in the SCF system. The diffusion of SME credit risk may cause serious consequences, leading the whole supply chain finance system unstable and insecure. Compared with traditional credit risk assessment models, the supply chain relationship, credit condition of SME, and core enterprises should all be considered to rate SME credit risk in SCF. Traditional methods (...) mix all indicators from different index systems. They cannot give a quantitative result on how these index systems work. Furthermore, traditional credit risk assessment models are heavily dependent on the number of annotated SME data. However, it is implausible to accumulate enough credit risky SMEs in advance. In this paper, we propose an adaptive heterogenous multiview graph learning method to tackle the small sample size problem for SMEs’ credit risk forecasting. Three graphs are constructed by using indicators from supply chain operation, SME financial indicator, and nonfinancial indicator individually. All the graphs are integrated in an adaptive manner, providing a quantitative explanation on how the three parts cooperate. The experimental analysis shows that the proposed method has good performance for determining whether SME is risky or nonrisky in SCF. From the perspective of SCF, SME financing ability is still the main factor to determine the credit risk of SME. (shrink)

This book provides a systematic and comprehensive description of Non-Axiomatic Logic, which is the result of the author's research for about three decades.Non-Axiomatic Logic is designed to provide a uniform logical foundation for Artificial Intelligence, as well as an abstract description of the “laws of thought” followed by the human mind. Different from “mathematical” logic, where the focus is the regularity required when demonstrating mathematical conclusions, Non-Axiomatic Logic is an attempt to return to the original aim of logic, that is, (...) to formulate the regularity in actual human thinking. To achieve this goal, the logic is designed under the assumption that the system has insufficient knowledge and resources with respect to the problems to be solved, so that the “logical conclusions” are only valid with respect to the available knowledge and resources. Reasoning processes according to this logic covers cognitive functions like learning, planning, decision making, problem solving, etc.This book is written for researchers and students in Artificial Intelligence and Cognitive Science, and can be used as a textbook for courses at graduate level, or upper-level undergraduate, on Non-Axiomatic Logic. (shrink)

This paper examines the effect of financial shared service centers (FSSCs) on corporate misconduct. Using a sample of Chinese public companies with hand-collected FSSC data, we find that the adoption of FSSCs is negatively associated with the likelihood and frequency of corporate misconduct. The results hold to a battery of robustness tests. Moreover, we show that the negative association between FSSCs and corporate misconduct is more pronounced in firms that have no management equity ownership, disclose internal control weaknesses, and have (...) more subsidiaries. Additional analyses indicate that FSSCs can help mitigate both disclosure-related and nondisclosure-related misconduct. (shrink)

The development of artificial perception technologies has surpassed the limitations of human natural senses, expanding humanity's perspectives on the world and self-awareness. However, it has simultaneously introduced new ethical challenges. These emerging challenges necessitate a philosophical reexamination of concepts such as 'nature,' 'artificial,' and ' invasiveness ' to better address associated issues. The advancement of artificial perception technologies not only involves scientific and practical applications but also profoundly influences human values, social ethics, and the future trajectory of human civilization. Amidst (...) the current transformation and transition in modes of cognition, reevaluating the relationship between technology and humanity becomes a crucial task. (shrink)

This article investigates elements of empathy in the Zhuangzi 莊子. It outlines four prominent aspects of current scholarship on empathy: different types of empathy, the other-centeredness of empathy, empathy as a process and the role empathy plays in responsiveness to others, and interaction between empathy and other capacities. Based on materials from the Zhuangzi that involve elements of empathy, I delegate them respectively to these four areas. While the Zhuangzi does not invent any specific term for an exclusive designation of (...) the meaning of empathy, I attempt to show that the Zhuangzi does explore the phenomena of empathy to a great extent. It characterizes unique features of empathy, such as other-centeredness, perceptual directness, its function as listening, mirroring, qi 氣-connecting and receptivity, the issue of how to cultivate one’s empathic capacity in the everyday encounter with others, and especially how empathic capacity works closely with the Zhuangzian forgetfulness of oneself. (shrink)

In this article, we propose a new method to learn the underlying acyclic mixed graph of a linear non-Gaussian structural equation model with given observational data. We build on an algorithm proposed by Wang and Drton, and we show that one can augment the hidden variable structure of the recovered model by learning multidirected edges rather than only directed and bidirected ones. Multidirected edges appear when more than two of the observed variables have a hidden common cause. We detect (...) the presence of such hidden causes by looking at higher order cumulants and exploiting the multi-trek rule. Our method recovers the correct structure when the underlying graph is a bow-free acyclic mixed graph with potential multidirected edges. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:A Way of Music Education: Classic Chinese Wisdoms by C. Victor FungJui-Ching WangC. Victor Fung, A Way of Music Education: Classic Chinese Wisdoms (New York, Oxford University Press, 2018)The philosophical inquiry of music and music education has traditionally been limited to a Western lineage, primarily Greek civilization. Many prominent scholars of music education philosophy in the English-speaking world have long restricted their quests to the offspring of this (...) Western philosophy. Although music education scholars have urged a need for more than one "single philosophical foundation" for the field,1 not much has been done systematically to make up for this shortcoming until most recently when scholars such as Wayne Bowman, Ana Luciá Frega, Victor Fung, and Leonard Tan started to call for a more inclusive way of thinking to accommodate the "complexity, plurality, and change" in twenty-first century music education settings.2 To respond to this call, the primary contribution of A Way of Music Education: Classic Chinese Wisdoms is to provide an alternative for examining the phenomena of music teaching and learning by introducing classic Chinese philosophies, Yijing (the Book of Change), Confucianism, and Daoism to bridge the philosophical gap between the West and the East.This book is organized in three parts. Part I, Classical Chinese Philosophies and Music Educational Interpretations, consists of four chapters with the [End Page 116] fundamental background of each philosophy Fung adopts and its interpretation and application in music and music education. Part II, Complementarity and a Trilogy, contains four chapters that help explain how Yijing, Confucianism, and Daoism complement each other as a "harmonious triad," not only in their original context but also in the philosophical frame of contemporary music and music education. The two chapters in Part III, A New Way of Thinking and Practical Implications, discuss practical implications of these classic philosophical ideologies in music education. An epilogue calls for future research on more Chinese classics in both music education and other non-music fields as Fung believes that these rich classic wisdoms are transcendental in time and space, and thus can be experienced as a way of life that "champions the human spirit in relation to the ever-changing natural environment, material life, and social system."3 Lastly, to help readers unfamiliar with Chinese philosophy, a glossary defines the key Chinese terms in each chapter with original Chinese characters and English translations. In addition, flow charts and diagrams help readers visualize the application of complex classic Chinese principles to music education.Attempting to develop "a new way of thinking in music education,"4 Fung situates his inquiry in an "organismic worldview,"5 a way of examining oneself and his/her relation to all elements of the world, a common philosophical thread derived from ancient classic Chinese philosophies of Yijing, Confucianism, and Daoism. Transcending the long debate about the praxial philosophy and aesthetic philosophy of music education, Fung uses these Chinese philosophical principles to explain human musical behaviors first with an ontological lens. He then moves on to examine from a utilitarian perspective the significance of these musical behaviors as inseparable parts of the 'humanly human.' Carefully framing interpretations within the three Chinese classic philosophies, Fung uses a comparative method to scrutinize the meaning of music for human beings who practice it, to their social network (small or large), and to their natural environment. Fung's comparison of the similarities and differences of ancient Chinese principles concludes that "music and music education [are] part of the larger entities and phenomena that cut across time and space."6 Such comparison exemplifies the value of comparative philosophy in "acknowledging and appreciating differences in a realization of the complementarity of perspectives."7 As a result, Fung is able to complement ideas from the seeming contradiction between Confucianism's "human-centric" ideology and Daoism's "dao-centric" ideology to cleverly picture a more comprehensive way of music in education: because "these two schools are addressing different human needs…, they influence each other and provide momentum for each other."8Moreover, going beyond the "minor varieties of comparisons" within the Chinese classics, Fung challenges himself to a higher level of inquiry stretching [End Page 117] out to... (shrink)

The integration of machine learning algorithms into the legal recommendation system marks a burgeoning area of research, with a particular focus on enhancing the accuracy and efficiency of judicial decision-making processes. The application of Bayesian Network (BN) emerges as a potent tool in this context, promising to address the inherent complexities and unique nuances of legal texts and individual case subtleties. However, the challenge of achieving high accuracy in BN parameter learning, especially under conditions of limited data, remains a significant (...) hurdle. This study proposes an Enhanced Maximum Parameter Learning (EMPL) algorithm, tailored for BN parameter optimization in scenarios characterized by small sample sizes. The EMPL algorithm, innovatively incorporating the Synthetic Minority Over-sampling Technique (SMOTE), begins with the formulation of inequality constraints derived from domain expertise. It establishes a minimal dataset threshold necessary for effective parameter learning. Through the introduction of an index weighting factor function that dynamically adjusts according to the sample size, the algorithm facilitates the derivation of refined BN parameters. The core innovation of the EMPL algorithm lies in its use of an exponentially weighted factor function, designed to be responsive to variations in sample size, and its capacity to expand the parameter space using SMOTE to align with qualitative constraints from expert insights. This approach enables the integration of data-derived parameters with those obtained through expert experience in an exponentially weighted manner, culminating in the optimization of BN parameters. Comparative analysis reveals that the EMPL algorithm achieves superior learning accuracy over traditional Maximum Likelihood Estimation (MLE) and qualitative maximum a posteriori (QMAP) approach, particularly in contexts of sparse data. Furthermore, it demonstrates enhanced performance relative to variable weight learning algorithms, underscoring its potential to significantly improve decision-making processes in the legal domain through advanced BN parameter learning. (shrink)