Election prediction by means of opinion polling is a rare empirical success story for social science. I examine the details of a prominent case, drawing two lessons of more general interest: Methodology over metaphysics. Traditional metaphysical criteria were not a useful guide to whether successful prediction would be possible; instead, the crucial thing was selecting an effective methodology. Which methodology? Success required sophisticated use of case-specific evidence from opinion polling. The pursuit of explanations via general theory or (...) causal mechanisms, by contrast, turned out to be precisely the wrong path—contrary to much recent philosophy of social science. (shrink)

Can purely predictive models be useful in investigating causal systems? I argue ‘yes’. Moreover, in many cases not only are they useful, they are essential. The alternative is to stick to models or mechanisms drawn from well-understood theory. But a necessary condition for explanation is empirical success, and in many cases in social and field sciences such success can only be achieved by purely predictive models, not by ones drawn from theory. Alas, the attempt to use theory to achieve explanation (...) or insight without empirical success therefore fails, leaving us with the worst of both worlds – neither prediction nor explanation. Best go with empirical success by any means necessary. I support these methodological claims via case studies of two impressive feats of predictive modelling: opinion polling of political elections, and weather forecasting. (shrink)

The accepted working assumption on the eve of the 2020 Presidential Election in the US was that his image, as well as the perception that he holds negative opinions regarding immigrants and immigration while supported by white supremacists, would result in voters casting their ballot based on racial or ethnic considerations to vote against him. This paper was aimed at examining that linkage, to see if it took place in reality, or rather if voting needs to be looked at (...) as a choice made based on class and stature, not racial background. To examine the issue at hand, 2016 voting patterns were compared to 2020 exit polls based on racial background. The findings showed that support for President Trump rose across all races, sometimes more than doubling. At the same time, votes were analyzed based on a breakdown by class. For the study, three batches of districts were chosen: the poor of America, the average of America, and the rich of America. One district was chosen from each state, and a total of 147 districts from across the US were looked at. The research shows that as one climbs the social ladder, support for President Trump declines. Or, in the context of this paper: the lower one is on the social class ladder, especially among the 'forgotten' periphery, the higher the approval and support rate of President Trump is. (shrink)

Political candidates often believe they must focus their campaign efforts on a small number of swing voters open for ideological change. Based on the wisdom of opinion polls, this might seem like a good idea. But do most voters really hold their political attitudes so firmly that they are unreceptive to persuasion? We tested this premise during the most recent general election in Sweden, in which a left- and a right-wing coalition were locked in a close race. We (...) asked our participants to state their voter intention, and presented them with a political survey of wedge issues between the two coalitions. Using a sleight-of-hand we then altered their replies to place them in the opposite political camp, and invited them to reason about their attitudes on the manipulated issues. Finally, we summarized their survey score, and asked for their voter intention again. The results showed that no more than 22% of the manipulated replies were detected, and that a full 92% of the participants accepted and endorsed our altered political survey score. Furthermore, the final voter intention question indicated that as many as 48% (69.2%) were willing to consider a left-right coalition shift. This can be contrasted with the established polls tracking the Swedish election, which registered maximally 10% voters open for a swing. Our results indicate that political attitudes and partisan divisions can be far more flexible than what is assumed by the polls, and that people can reason about the factual issues of the campaign with considerable openness to change. (shrink)

In his recent article in Philosophy and Public Affairs, 'The Paradox of Voting and Ethics of Political Representation', Alexander A. Guerrero argues it is rational to vote because each voter should want candidates they support to have the strongest public mandate possible if elected to office, and because every vote contributes to that mandate. The present paper argues that two of Guerrero's premises require correction, and that when those premises are corrected several provocative but compelling conclusions follow about the rationality (...) of voting and duties of elected officials: (A) Voting is typically rational for the members of a political party’s base; (B) Voting is often (but not always) irrational for “swing” voters (i.e. independent voters who are not affiliated with any political party, as well as “undecided” voters who are considering voting across party lines); and (C) Elected officials have a moral duty to respond to changing levels of popular support once in office, as indicated by properly monitored and corroborated public opinion polls of constituents, functioning more as delegates the lower their level of popular support. Finally, I suggest that the last of these conclusions has wide-ranging implications for political ethics. I illustrate these implications by focusing on the questions -- under debate in the 2016 US Presidential election cycle -- of whether a sitting President has a moral duty to nominate or not nominate a new Supreme Court justice during his or her final year in office, and similarly, whether US Senators have a moral duty to obstruct, or not obstruct, confirmation of the President’s eventual nominee. (shrink)

The folk Psychology frames propositional attitudes as fundamental theoretical entities for the construction of a model designed to predict the behavior of a subject. A trivial, such as grasping a pen and writing reveals - something complex - about the behavior. When I take a pen and start writing I do, trivially, because I believe that a certain object in front of me is a pen and who performs a specific function that is, in fact, that of writing. When I (...) believe that the object that stands before me is a pen, I am in relation to "believe" with the propositional content: that in front of me is a pen. Philosophers of the proposition, from Frege onwards, have dedicated their studies to the analysis of what kinds of entities are the propositional attitudes. Jerry Fodor says that now, the proper prediction of the psychology of common sense, can not be questioned and that the propositional attitudes represent the most effective way to describe our behavior. What Fodor says, however, is that propositional attitudes function, but not how they work. Most philosophers interested in the issue, we are dedicated to the search for a theory that can account consistently both a semantics for propositional attitudes, both of these entities that seem to cause the behavior of a rational subject. There are two main paradigms in the theory of the proposition that contributed to the discussion of the propositional attitudes. One is the one that begins with Gottlob Frege, the other with Bertrand Russell. Defenders of Frege argue that the paradigm scrub objects and properties can not be constituents of the propositional content which have a purely conceptual. In other words, the philosophers belonging to the paradigm of Frege, but not all, mean that you can test in a rigorous way the truth conditions of propositional attitudes. Who defends the russellian’s paradigm argues that the propositional content are made by the objects and properties on which propositional attitudes relate. The purpose of this article is not to rebuild - in detail - both paradigms, nor to reconstruct one but, in a sense, my work will be a completely partial objective is to demonstrate how the paradigm is more profitable russell not only to make a coherent semantic theory for propositional attitudes2 but also to predict the behavior of a rational subject thing, completely innovative, given the repeated objections in contemporary literature3. At the end of this paper will be drafted a proposal to build a consistent model to predict the behavior,of a rational agent, based on a referential theory of propositional attitudes. (shrink)

Algorithmic risk assessment tools, such as COMPAS, are increasingly used in criminal justice systems to predict the risk of defendants to reoffend in the future. This paper argues that these tools may not only predict recidivism, but may themselves causally induce recidivism through self-fulfilling predictions. We argue that such “performative” effects can yield severe harms both to individuals and to society at large, which raise epistemic-ethical responsibilities on the part of developers and users of risk assessment tools. To meet these (...) responsibilities, we present a novel desideratum on algorithmic tools, called explainability-in-context, which requires clarifying how these tools causally interact with the social, technological, and institutional environments they are embedded in. Risk assessment practices are thus subject to high epistemic standards, which haven't been sufficiently appreciated to date. Explainability-in-context, we contend, is a crucial goal to pursue in addressing the ethical challenges surrounding risk assessment tools. (shrink)

One of the main highlights from last year’s event was the 2022 Philippine National and Local Elections. The Philippine elections involve a lot of people interaction from poll workers and other deputized agencies. Further, this study explores the lived experiences, challenges, and coping mechanisms of poll watchers during the 2022 Philippine election. Employing the Interpretative Phenomenological Analysis, the findings of this study were: (1) Filipino workers value a good-paying job and preferred meaningful work. (2) Amidst the experiences and challenges, (...) the poll watchers remain determined and motivated to take part in the seasonal election. (3) Poll watchers must be physically, emotionally, and mentally prepared to participate in this crucial work. Mainly, pollwatching is a self-reliant job. (shrink)

The objective of this study was to employ the theory of planned behavior in examining the inclusion of Islamic religiosity in predicting Islamic ethical work behavior. Islamic religiosity was included as Islam plays a dominant role in Brunei’s society. Participants consisted of 370 Malay Muslim teachers. Structural equation modeling was used to test three proposed models. While Model 1 was based on the theory of planned behavior, it does not take into consideration the distinctive Islamic context of the Bruneian society. (...) Hence, Model 2 was proposed to include Islamic religiosity. To better reflect the population, a model with Islamic religiosity was further augmented leading to Model 3. Results showed support for only two models: Model 1 and Model 3. Model 3 was revised by removing non-significant paths. Model comparison indicated that the revised Model 3 (AIC = 100.82; BIC = 103.55) is a better model than Model 1 (AIC = 141.88; BIC = 143.98). This suggests that the predictive power of the theory of planned behavior can be improved by including dominant cultural factors, such as religiosity, that affect a person’s belief. In conclusion, it can be said that religion is indispensable in exploring and understanding how the people in Brunei think and behave in their workplace and society. (shrink)

Testimony about the future dangerousness of a person has become a central staple of many judicial processes. In settings such as bail, sentencing, and parole decisions, in rulings about the civil confinement of the mentally ill, and in custody decisions in a context of domestic violence, the assessment of a person’s propensity towards physical or sexual violence is regarded as a deciding factor. These assessments can be based on two forms of expert testimony: actuarial or clinical. The purpose of this (...) paper is to examine the scientific and epistemological basis of both methods of prediction or risk assessment. My analysis will reveal that this kind of expert testimony is scientifically baseless. The problems I will discuss will generate a dilemma for factfinders: on the one hand, given the weak predictive abilities of the branches of science involved, they should not admit expert clinical or actuarial testimony as evidence; on the other hand, there is a very strong tradition and a vast jurisprudence that supports the continued use of this kind of expert testimony. It is a clear case of the not so uncommon conflict between science and legal tradition. (shrink)

Emotional Intelligence (EI) has been conceptualized in the literature either as a dispositional tendency, in line with a personality trait (trait EI; Petrides and Furnham, 2001), or as an ability, moderately correlated with general intelligence (ability EI; Mayer and Salovey, 1997). Surprisingly, there have been few empirical attempts conceptualizing how the different EI approaches should be related to each other. However, understanding how the different approaches of EI may be interwoven and/or complementary is of primary importance for clarifying the conceptualization (...) of EI and organizing the literature around it. We introduce a theoretical framework explaining how trait EI, ability EI, and emotion information processing – a novel component related to EI recently introduced in the literature (e.g., Fiori and Vesely Maillefer, 2018) – may contribute to effective emotion-related performance and provide initial evidence supporting its usefulness in predicting EI-related outcomes. More specifically, we show that performance in a task in which participants had to infer the mental and emotional states of others, namely a Theory of Mind task, was predicted jointly (e.g., interaction effects) by trait EI, ability EI, and emotion information processing, after controlling for personality and IQ (N = 323). Our results argue for the importance of investigating the joint contribution of different aspects of EI in explaining variability in emotionally laden outcomes. (shrink)

Is the societal-level of analysis sufficient today to understand the values of those in the global workforce? Or are individual-level analyses more appropriate for assessing the influence of values on ethical behaviors across country workforces? Using multi-level analyses for a 48-society sample, we test the utility of both the societal-level and individual-level dimensions of collectivism and individualism values for predicting ethical behaviors of business professionals. Our values-based behavioral analysis indicates that values at the individual-level make a more significant contribution to (...) explaining variance in ethical behaviors than do values at the societal-level. Implicitly, our findings question the soundness of using societal-level values measures. Implications for international business research are discussed. (shrink)

Is the societal-level of analysis sufficient today to understand the values of those in the global workforce? Or are individual-level analyses more appropriate for assessing the influence of values on ethical behaviors across country workforces? Using multi-level analyses for a 48-society sample, we test the utility of both the societal-level and individual-level dimensions of collectivism and individualism values for predicting ethical behaviors of business professionals. Our values-based behavioral analysis indicates that values at the individual-level make a more significant contribution to (...) explaining variance in ethical behaviors than do values at the societal-level. Implicitly, our findings question the soundness of using societal-level values measures. Implications for international business research are discussed. (shrink)

In contemporary political discussions, it is depressingly common to see people criticized for expressing impure beliefs. Moreover, those who sometimes defect from their tribe are criticized for failing to be firmly enough on the side of the angels. We consider explanations for this behavior, including its relationship to moral grandstanding. We will also argue, on both moral and epistemic grounds, in favor of a norm against “blocking the exits.” We should not use social pressure to discourage people from publicly changing (...) their minds. (shrink)

-/- Policy regulations of ethically controversial genetic technologies should, on the one hand, be based on ethical principles. On the other hand, they should be socially acceptable to ensure implementation. In addition, they should align with ethical theory. Yet to date we lack a reliable and valid scale to measure the relevant ethical judgements in laypeople. We target this lacuna. -/- We developed a scale based on ethical principles to elicit lay judgments: the Genetic Technologies Questionnaire (GTQ). In two pilot (...) studies and a pre-registered main study, we validated the scale in a representative sample of the US population. -/- The final version of the scale contains 20 items but remains highly reliable even when reduced to five. It also predicts behaviour; for example, ethical judgments as measured by the GTQ predicted hypothetical donations and grocery shopping. In addition, the GTQ may be of interest to policymakers and ethicists because it reveals coherent and ethically justified judgments in laypeople. For instance, the GTQ indicates that ethical judgments are sensitive to possible benefits and harms (in line with utilitarian ethics), but also to ethical principles such as the value of consent-autonomy. -/- In conclusion, the GTQ can be recommended for research in both experimental psychology and applied ethics, as well as a tool for ethically and empirically informed policymaking. (shrink)

We propose a pluralist account of content for predictive processing systems. Our pluralism combines Millikan's teleosemantics with existing structural resemblance accounts. The paper has two goals. First, we outline how a teleosemantic treatment of signal passing in predictive processing systems would work, and how it integrates with structural resemblance accounts. We show that the core explanatory motivations and conceptual machinery of teleosemantics and predictive processing mesh together well. Second, we argue this pluralist approach expands the range of empirical cases to (...) which the predictive processing framework might be successfully applied. This is because our pluralism is practice-oriented. A range of different notions of content are used in the cognitive sciences to explain behaviour, and some of these cases look to employ teleosemantic notions. As a result, our pluralism gives predictive processing the scope to cover these cases. (shrink)

Consumer behavior analytics has become a pivotal aspect for businesses to understand and predict customer preferences and actions. The advent of machine learning (ML) algorithms has revolutionized this field by providing sophisticated tools for data analysis, enabling businesses to make data-driven decisions. However, the effectiveness of these ML algorithms significantly hinges on the optimization techniques employed, which can enhance model accuracy and efficiency. This paper explores the application of various optimization techniques in consumer behaviour analytics using machine learning algorithms. (...) By focusing on the optimization of key parameters, the study aims to improve the predictive power of models and reduce computational costs. (shrink)

Consumer behavior analytics has become a pivotal aspect for businesses to understand and predict customer preferences and actions. The advent of machine learning (ML) algorithms has revolutionized this field by providing sophisticated tools for data analysis, enabling businesses to make data-driven decisions. However, the effectiveness of these ML algorithms significantly hinges on the optimization techniques employed, which can enhance model accuracy and efficiency. This paper explores the application of various optimization techniques in consumer behaviour analytics using machine learning algorithms. (...) By focusing on the optimization of key parameters, the study aims to improve the predictive power of models and reduce computational costs. (shrink)

The relative efficiency of an action is a central criterion in action control and can be used to predict others’ behavior. Yet, it is unclear when the ability to predict on and reason about the efficiency of others’ actions develops. In three main and two followup studies, 3- to 6-year-old children (n = 242) were confronted with vignettes in which protagonists could take a short (efficient) path or a long path. Children predicted which path the protagonist would take and why (...) the protagonist would take a specific path. The 3-year-olds did not take efficiency into account when making decisions even when there was an explicit goal, the task was simplified and made more salient, and children were questioned after exposure to the agent’s action. Four years is a transition age for rational action prediction, and the 5-year-olds reasoned on the efficiency of actions before relying on them to predict others’ behavior. Results are discussed within a representational redescription account. (shrink)

Two studies demonstrate that a dispositional proneness to disgust (“disgust sensitivity”) is associated with intuitive disapproval of gay people. Study 1 was based on previous research showing that people are more likely to describe a behavior as intentional when they see it as morally wrong (see Knobe, 2006, for a review). As predicted, the more disgust sensitive participants were, the more likely they were to describe an agent whose behavior had the side effect of causing gay men to kiss in (...) public as having intentionally encouraged gay men to kiss publicly— even though most participants did not explicitly think it wrong to encourage gay men to kiss in public. No such effect occurred when subjects were asked about heterosexual kissing. Study 2 used the Implicit Association Test (IAT; Nosek, Banaji, & Greenwald, 2006) as a dependent measure. The more disgust sensitive participants were, the more they showed.. (shrink)

Religion has always been argued as a cultural factor that influences behavior. Similarly, previous studies had shown that demographic factors such as age, gender, education level, and work experience were linked to behavior. This present study examined if demographic factors and religiosity dimensions could predict ethical behavior, specifically Islamic ethical work behavior, in Brunei. This study used an existing data set, which had been employed with a different approach and research questions. A total of 370 respondents were analyzed. Model analysis (...) involved the use of binomial logistic regression. It correctly classified 77% of cases. The result showed that demographic factors were not significant predictors of Islamic ethical work behavior. However, all religiosity dimensions were significant predictors of Islamic ethical work behavior, providing support for religion influencing behavior in the workplace—to a certain extent, in the society—although the degree of effects varied, suggesting opportunities for further research. The findings were discussed, and limitations and recommendations were then presented. (shrink)

Both mindreading and stereotyping are forms of social cognition that play a pervasive role in our everyday lives, yet too little attention has been paid to the question of how these two processes are related. This paper offers a theory of the influence of stereotyping on mental-state attribution that draws on hierarchical predictive coding accounts of action prediction. It is argued that the key to understanding the relation between stereotyping and mindreading lies in the fact that stereotypes centrally involve character-trait (...) attributions, which play a systematic role in the action–prediction hierarchy. On this view, when we apply a stereotype to an individual, we rapidly attribute to her a cluster of generic character traits on the basis of her perceived social group membership. These traits are then used to make inferences about that individual’s likely beliefs and desires, which in turn inform inferences about her behavior. (shrink)

In this paper I return to Hubert Dreyfus’ old but influential critique of artificial intelligence, redirecting it towards contemporary predictive processing models of the mind (PP). I focus on Dreyfus’ arguments about the “frame problem” for artificial cognitive systems, and his contrasting account of embodied human skills and expertise. The frame problem presents as a prima facie problem for practical work in AI and robotics, but also for computational views of the mind in general, including for PP. Indeed, some of (...) the issues it presents seem more acute for PP, insofar as it seeks to unify all cognition and intelligence, and aims to do so without admitting any cognitive processes or mechanisms outside of the scope of the theory. I contend, however, that there is an unresolved problem for PP concerning whether it can both explain all cognition and intelligent behavior as minimizing prediction error with just the core formal elements of the PP toolbox, and also adequately comprehend (or explain away) some of the apparent cognitive differences between biological and prediction-based artificial intelligence, notably in regard to establishing relevance and flexible context-switching, precisely the features of interest to Dreyfus’ work on embodied indexicality, habits/skills, and abductive inference. I address several influential philosophical versions of PP, including the work of Jakob Hohwy and Andy Clark, as well as more enactive-oriented interpretations of active inference coming from a broadly Fristonian perspective. (shrink)

Developments that suggest the universe is full of life make the Fermi paradox increasingly pressing, but our search for an extraterrestrial technological civilization (“ETC”) is handicapped by our ignorance of its probable nature and behavior. This paper offers a way around this problem by drawing on information theoretical concepts, including game theory and Bayesian probability. It argues that, whatever its ultimate goals, an ETC would have the same instrumental goals as other intelligent agents. Generically, these are self-preservation and the acquisition (...) of resources. For an advanced ETC, these generic goals imply the objectives of removing existential threats and acquiring strategic and non-strategic information. Since the most problematic existential threats for any ETC would be from other civilizations and planets hosting such civilizations would also be copious sources of information, these objectives would lead it to gather information from these locations and to protect itself against them. This dual-goals hypothesis resolves the Fermi paradox, redirects the search for extraterrestrial intelligence and makes testable predictions regarding ETC’s behavior on Earth if it is here. (shrink)

Introduction: Anatomy education known as being among the most significant components of medical education exists in the first and second semester lecture contents of medicine faculties. The considering of medicine faculty students viewpoints about anatomy education is important for improving anatomy education and teaching methods. In addition, the evaluation of interest and awareness of students to anatomy in postgraduate specialization preferences provides to predict researcher number which will be study in this area. -/- Materials and Methods: In this study, it (...) was proposed to evaluate the opinions of medicine faculty students about anatomy education and the view points and the awareness to anatomy in postgraduate specialization education. This study was performed on Gaziantep University second and third year medicine faculty students (n= 340). The data were obtained by feedback method with a questionnaire which consist of 30 question. -/- Results: It was found that the students chiefly benefited from lecture notes while they have been studied to theoretical and practical part of the anatomy individually. No significant correlation was found among general average grade and lengths of anatomy study of students (r= 0.097, p= 0.074). Fifty percent (%50) of students thought that don’t use of cadaver is always a deficiency in anatomy education. It was seen that the postgraduate career preferences of the students of 39.4% was internal medicine departments. The rate of students desiring the postgraduate anatomy specialization education was 1.2%. -/- Conclusion: In conclusion, the achieved results may will be beneficial for improving the new educational strategies related anatomy, resolving the present deficiencies and increasing the tendency to postgraduate anatomy education. (shrink)

In this paper, we examine how a research institution’s social structure and academic opinion leaders’ presence shaped the early adoption of a scientific innovation. Our case considers the early engagement of mathematical economists at the Cowles Commission with John von Neumann and Oskar Morgenstern’s Theory of Games and Economic Behavior. We argue that scholars with administrative leadership functions who were not only scientifically but also organizationally central – in our case the director of research Jacob Marschak – played a (...) crucial role in promoting the adoption of the Theory of Games. We support our argument with a scientometric analysis of all acknowledgments made in 488 papers published from 1944 to 1955 in the two main paper series at Cowles. We apply blockmodeling techniques to the acknowledgments network to reconstruct the formal and informal social structure at Cowles at the time. Our findings suggest that studies of the early adoption of scientific theories benefit from complementary perspectives on the role of academic leaders and scientists. Our study reveals the importance of formal and informal social structures and the agenda of administrative leaders in these structures to explain their adoption. (shrink)

The research outlines a workflow that incorporates data collection, preprocessing, model training, and optimization. Real-world datasets from retail and e-commerce sectors are utilized to validate the proposed methodology, showcasing substantial improvements in model performance. The results indicate that optimized models not only provide better predictions of consumer behaviour but also enhance customer segmentation and targeting strategies. The study concludes with recommendations for future research, including the exploration of hybrid optimization techniques and the application of these methods in real-time analytics.

I argue that folk psychology does not serve the purpose of facilitating prediction of others' behaviour but if facilitating cooperative action. (See my subsequent book *The Importance of Being Understood*.

Objective: Compassion has been associated with eudaimonia and prosocial behavior, and has been regarded as a virtue, both historically and cross-culturally. However, the psychological study of compassion has been limited to laboratory settings and/or standard survey assessments. Here, we use an experience sampling method (ESM) to compare naturalistic assessments of compassion with standard assessments, and to examine compassion, its variability, and associations with eudaimonia and prosocial behavior. -/- Methods: Participants took a survey which included standard assessments of compassion and eudaimonia. (...) Then, over four days, they were repeatedly asked about their level of compassion, eudaimonia, and situational factors within the moments of daily life. Finally, prosocial behavior was tested using the Dual Gamble Task and an opportunity to donate task winnings. -/- Results: Analyses revealed within-person associations between ESM compassion and eudaimonia. ESM compassion also predicted eudaimonia at the next ESM time point. While not impervious to situational factors, considerable consistency was observed in ESM compassion in comparison with eudaimonia. Further, ESM compassion along with eudaimonia predicted donating behavior. Standard assessments did not. -/- Conclusion: Consistent with virtue theory, some individual’s reports displayed a probabilistic tendency toward compassion, and ESM compassion predicted ESM eudaimonia and prosocial behavior toward those in need. (shrink)

Collaborative filtering is being used within organizations and in community contexts for knowledge management and decision support as well as the facilitation of interactions among individuals. This article analyzes rhetorical and technical efforts to establish trust in the constructions of individual opinions, reputations, and tastes provided by these systems. These initiatives have some important parallels with early efforts to support quantitative opinion polling and construct the notion of “public opinion.” The article explores specific ways to increase trust in (...) these systems, albeit a “guarded trust” in which individuals actively seek information about system foibles and analyze the reputations of participants. (shrink)

A cognitivist account of decision-making views choice behaviour as a serial process of deliberation and commitment, which is separate from perception and action. By contrast, recent work in embodied decision-making has argued that this account is incompatible with emerging neurophysiological data. We argue that this account has significant overlap with an embodied account of predictive processing, and that both can offer mutual development for the other. However, more importantly, by demonstrating this close connection we uncover an alternative perspective on (...) the nature of decision-making, and the mechanisms that underlie our choice behaviour. This alternative perspective allows us to respond to a challenge for predictive processing, which claims that the satisfaction of distal goal-states is underspecified. Answering this challenge requires the adoption of an embodied perspective. (shrink)

In the wake of increased interventions into health and social problems arising from various behaviours in Cross River State, this paper is set to ascertain the most effective media that can be utilized for effective communication. The mass media of communication, including television, radio, newspapers and magazines, bill boards, hand bills, posters, theatre and many other social and interpersonal media of communication are available for patronage by interventionists targeting change in any society. The question however is which of the media (...) is the most viable? To determine this, a survey was conducted to sample the opinions of 140 media students from two higher institutions: the University of Calabar and the Cross River University of Technology (CRUTECH), all in Cross River State. The population of the study comprised both undergraduates and graduate students of Theatre and Media Studies and Mass Communication in both institutions. Findings reveal that out of the fourteen (14) media tools brought into limelight, radio, television, and billboards are the most patronized tools for change communication. The paper concludes and recommends that non-governmental organizations and the government can utilize radio, television, billboards and the church as the most effective media for change. (shrink)

[This is the short version of: Müller, Vincent C. and Bostrom, Nick (forthcoming 2016), ‘Future progress in artificial intelligence: A survey of expert opinion’, in Vincent C. Müller (ed.), Fundamental Issues of Artificial Intelligence (Synthese Library 377; Berlin: Springer).] - - - In some quarters, there is intense concern about high–level machine intelligence and superintelligent AI coming up in a few dec- ades, bringing with it significant risks for human- ity; in other quarters, these issues are ignored or considered (...) science fiction. We wanted to clarify what the distribution of opinions actually is, what probability the best experts currently assign to high–level machine intelligence coming up within a particular time–frame, which risks they see with that development and how fast they see these developing. We thus designed a brief questionnaire and distributed it to four groups of experts. Overall, the results show an agreement among experts that AI systems will probably reach overall human ability around 2040-2050 and move on to superintelligence in less than 30 years thereafter. The experts say the probability is about one in three that this development turns out to be ‘bad’ or ‘extremely bad’ for humanity. (shrink)

Parts of the genome of a single individual can have conflicting interests, depending on which parent they were inherited from. One mechanism by which these conflicts are expressed in some taxa, including mammals, is genomic imprinting, which modulates the level of expression of some genes depending on their parent of origin. Imprinted gene expression is known to affect body size, brain size, and the relative development of various tissues in mammals. A high fraction of imprinted gene expression occurs in the (...) brain. Biologists including Hamilton, Trivers and Haig have proposed that this may explain some intrapersonal conflict in humans. This speculation amounts to an inference from conflict within the genome to conflict within the brain or mind. This is a provocative proposal, which deserves serious attention. In this paper I assess aspects of Haig’s version of the proposal. I argue, first, that the notion that intragenomic conflict predicts personal inconsistency should be rejected. Second, while it is unlikely that it credibly predicts sub-personal agents representing conflicting genetic interests, it is plausible that it predicts that the division of cognitive labour could be exploited to turn sub-systems into proxies for conflicting interests. (shrink)

If the laws of nature are deterministic, then it seems possible that a Laplacean intelligence that knows the initial conditions and the laws would be able to accurately predict everything that will ever happen. However, it would be easy to construct a counterpredictive device that falsifies any revealed prediction about its future behavior. What would then occur if a Laplacean intelligence encountered a counterpredictive device? This is the paradox of predictability. A number of philosophers have proposed solutions to it, though (...) part of my aim here is to argue that the paradox is more pernicious than has thus far been appreciated, and therefore that extant solutions are inadequate. My broader aim is to argue that the paradox motivates Humeanism about laws of nature. (shrink)

Current evidence supports how deviant behavior can be predicted by sociodemographic factors, subjective well-being, and perceived religiousness. However, there is limited research when it concerns specificity such as Muslims justifying deviant behavior, and their subjective well-being and perceived religiousness within a single study. Most studies used Christian population or using a non-denominational approach. Therefore, in this study, data from World Value Survey Wave 6 was used to examine the Muslim population (N = 20,559) and deviant behavior justification. Sociodemographic factors, subjective (...) well-being (life satisfaction, happiness, and state of health), and perceived religiousness (prayer frequency and importance of God in life) were hypothesized as predictors. Results revealed that these hypotheses are supported. However, many of these predictors are weak, having minimal effect. This is with the exception of having the worldview of God being important in one’s life, being both a strong and statistically significant predictor of deviant behavior justification. The more a person views God being important in life, the more it predicts a decrease in deviant behavior justification. This research provides a novel finding on the belief-behavior nexus, specifically concerning Muslims justifying deviant behavior when two forms of perceived religiousness—ritualistic and worldview—are being compared. (shrink)

There is a middle ground of imperfect knowledge in fields like medicine and the social sciences. It stands between our day-to-day relatively certain knowledge obtained from ordinary basic observation of regularities in our world and our knowledge from well-validated theories in the physical sciences. -/- The latter enable reliable prediction a great deal of the time of the happening of events never before experienced. The former enable prediction only of what has happened before and beyond that of educated guesses which (...) may sometimes prove right and others not when we test them. -/- The imperfection of our knowledge between those limits is a consequence of complexity. -/- Reductionist empiricism fails when faced with complexity but we all still have to live in a complex world where reductionist science cannot help us devise reliable theories from which we can predict the behaviour of the world around us. We cannot predict reliably. We can only monitor actively and manage actively the world around us if we want to try to control our environment. We have a limited prediction horizon. -/- Science and empiricism work well if we want to send Voyager I and II over 3 billion miles away but not for most other things. -/- In medicine how and when to apply probabilistic, conjectural, incomplete medical theories and explanations requires professional expertise, intuition and judgement (non scientific knowledge) which is essential. Medical diagnosis is a skill of predicting from knowledge of what has happened before that the past will recur in the current patient applying expertise and intuition from knowledge and experience of prior cases and probabilistic medical research and theory. The physician is left to an educated guess as to how the future will develop for the particular individual patient the focus of his or her current attention. (shrink)

In this article, we show how it is possible to lawfully buy an election. The method we describe for buying an election is novel. The key things that make it possible to buy an election are the existence of public voter registration lists where one can see whether a given elector has voted in a particular election, and the existence of Big Data Analytics that with a high degree of accuracy can predict what a given elector (...) will vote in an upcoming election. Someone interested in buying an election can enter an employment contract with all, or some of, the opponent electors where these electors are paid to do a job that prevents them from voting. By purchasing access to the public voter registration lists, it is possible to verify ex-post whether the opponent electors that one has signed a contract with have abstained. In the last two sections of the article, we discuss several barriers that can undermine an attempt to buy an election in the manner we identify. (shrink)

The principal aim of this article is to explain the specificity of the requirement for the spatial distribution of votes in presidential elections – an institution that has existed in Nigeria since 1979 and in Indonesia since 2001. It also seeks to describe the political conditions which contributed to that institution’s introduction and functioning in those two countries. The article will end with a comparison between the two cases, including a discussion of the present differences between them. The article will (...) also contain a preliminary appraisal of whether the existence of the requirement in question is helping to reduce the level of conflictive behavior in relations between ethnic groups in the multi-ethnic societies of Nigeria and Indonesia. This article has been published in "Acta Asiatica Varsoviensia" 2017, Vol. 30, Issue 1, pp. 89-107. (shrink)

In its January 20th, 2010 decision in Citizens United vs. Federal Election Commission, the United States Supreme Court ruled that certain restrictions on independent expenditures by corporations for political advocacy violate the First Amendment of the Constitution, which provides that “Congress shall make no law […] abridging the freedom of speech, or of the press; or the right of the people peaceably to assemble, and to petition the Government for a redress of grievances.” Justice Kennedy, writing for the 5-4 (...) majority, held that “[b]y suppressing the speech of manifold corporations, both for-profit and non-profit, the Government prevents their voices and view-points from reaching the public and advising voters on which person or entities are hostile to their interests” (Citizens United vs. Federal Election Commission 558 U.S. 38-9 (2010); emphasis added). Much of the language of the opinion, and some of its reasoning, as this passage illustrates, presupposes that corporations are agents capable of speech, and that it is (at least in part) in the light of this that limitations on political advocacy by corporations are prohibited by the Constitution. -/- While there are other strands in the argument, they are interwoven with the conception of the corporation as agent and speaker, with its voice and its viewpoints. The dissenters on the court objected on precisely this point (among others). Justice Stevens wrote sarcastically in his dissent, joined by Justices Ginsburg, Breyer, and Sotomayor, that “[u]nder the majority’s view, I suppose it may be a First Amendment problem that corporations are not permitted to vote, given that voting is, among other things, a form of speech” (558 U.S. 33 (2010)). Justice Sotomayor suggested in oral argument that the Court’s century-old practice of treating corporations as persons rests on a conceptual mistake. -/- My concern in this essay is not with the question whether the restrictions violate the Constitution. There are many issues that bear on this which will be outside the scope of my discussion. My concern is with the proper conceptual framework for understanding the agency of corporations and corporate speech, and the role that conceptions of these play in the background of the majority’s reasoning. The issue is legal, but it also has philosophical, conceptual and semantic aspects. It will be the latter aspects, and their potential to shed light on legal reasoning, that are my main focus. An adequate framework requires saying what properly speaking the corporation is, how agency is expressed through the corporation, whose agency it is, centrally whether the corporation is an agent or person in its own right, and in what sense it can be said to be capable of speech. I draw on recent work in collective action theory, particularly with respect to the semantics of collective action sentences (Ludwig 2007) and the analysis of the proxy agency in collective action (Ludwig 2014), to show (i) that corporations are neither genuine agents nor (therefore) capable of engaging in genuine speech, (ii) that consequently the First Amendment does not apply to corporations per se, and (iii) that a better understanding of the mechanisms of corporate agency casts doubt on more indirect arguments for extending the First Amendment to “corporate speech” as well. (shrink)

The aim of this study is to justify the belief that there are biological normative mechanisms that fulfill non-trivial causal roles in the explanations (as formulated by researchers) of actions and behaviors present in specific systems. One example of such mechanisms is the predictive mechanisms described and explained by predictive processing (hereinafter PP), which (1) guide actions and (2) shape causal transitions between states that have specific content and fulfillment conditions (e.g. mental states). Therefore, I am guided by a specific (...) theoretical goal associated with the need to indicate those conditions that should be met by the non-trivial theory of normative mechanisms and the specific models proposed by PP supporters. In this work, I use classical philosophical methods, such as conceptual analysis and critical reflection. I also analyze selected studies in the field of cognitive science, cognitive psychology, neurology, information theory and biology in terms of the methodology, argumentation and language used, in accordance with their theoretical importance for the issues discussed in this study. In this sense, the research presented here is interdisciplinary. My research framework is informed by the mechanistic model of explanation, which defines the necessary and sufficient conditions for explaining a given phenomenon. The research methods I chose are therefore related to the problems that I intend to solve. In the introductory chapter, “The concept of predictive processing”, I discuss the nature of PP as well as its main assumptions and theses. I also highlight the key concepts and distinctions for this research framework. Many authors argue that PP is a contemporary version of Kantianism and is exposed to objections similar to those made against the approach of Immanuel Kant. I discuss this thesis and show that it is only in a very general sense that the PP framework is neo-Kantian. Here we are not dealing with transcendental deduction nor with the application of transcendental arguments. I argue that PP is based on reverse engineering and abduction inferences. In the second part of this chapter, I respond to the objection formulated by Dan Zahavi, who directly accuses this research framework of anti-realistic consequences. I demonstrate that the position of internalism, present in the so-called conservative PP, does not imply anti-realism, and that, due to the explanatory role played in it by structural representations directed at real patterns, it is justified to claim that PP is realistic. In this way, I show that PP is a non-trivial research framework, having its subject, specific methods and its own epistemic status. Finally, I discuss positions classified as the socalled radical PP. In the chapter “Predictive processing as a Bayesian explanatory model” I justify the thesis according to which PP offers Bayesian modeling. Many researchers claim that the brain is an implemented statistical probabilistic network that is an approximation of the Bayesian 7 rule. In practice, this means that all cognitive processes are to apply Bayes' rule and can be described in terms of probability distributions. Such a solution arouses objections among many researchers and is the subject of wide criticism. The purpose of this chapter is to justify the thesis that Bayesian PP is a non-trivial research framework. For this purpose, I argue that it explains certain phenomena not only at the computational level described by David Marr, but also at the level of algorithms and implementation. Later in this chapter I demonstrate that PP is normative modeling. Proponents of the use of Bayesian models in psychology or decision theory argue that they are normative because they allow the formulation of formal rules of action that show what needs to be done to make a given action optimal. Critics of this approach emphasize that such thinking about the normativity of Bayesian modeling is unjustified and that science should shift from prescriptive to descriptive positions. In a polemic with Shira Elqayam and Jonathan Evans (2011), I show that the division they propose into prescriptivism and Bayesian descriptivism is apparent, because, as I argue, there are two forms of prescriptivism, i.e. the weak and the strong. I argue that the weak version is epistemic and can lead to anti-realism, while the strong version is ontic and allows one to justify realism in relation to Bayesian models. I argue that a weak version of prescriptivism is valid for PP. It allows us to adopt anti-realism in relation to PP. In practice, this means that you can explain phenomena using Bayes' rule. This does not, however, imply that they are Bayesian in nature. However, the full justification of realism in relation to the Bayesian PP presupposes the adoption of strong prescriptivism. This position assumes that phenomena are explained by Bayesian rule because they are Bayesian as such. If they are Bayesian in nature, then they should be explained using Bayesian modeling. This thesis will be substantiated in the chapters “Normative functions and mechanisms in the context of predictive processing” and “Normative mechanisms and actions in predictive processing”. In the chapter “The Free Energy Principle in predictive processing”, I discuss the Free Energy Principle (hereinafter FEP) formulated by Karl Friston and some of its implications. According to this principle, all biological systems (defined in terms of Markov blankets) minimize the free energy of their internal states in order to maintain homeostasis. Some researchers believe that PP is a special case of applying this principle to cognition, and that predictive mechanisms are homeostatic mechanisms that minimize free energy. The discussion of FEP is important due to the fact that some authors consider it to be important for explanatory purposes and normative. If this is the case, then FEP turns out to be crucial in explaining normative predictive mechanisms and, in general, any normative biological mechanisms. To define the explanatory possibilities of this principle, I refer to the discussion of its supporters on the issue they define as the problem of continuity and discontinuity between life and mind. A critical analysis of this discussion and the additional arguments I have formulated have allowed me to revise the explanatory ambitions of FEP. I also reject the belief that this principle is necessary to explain the nature of predictive mechanisms. I argue that the principle formulated and defended by Friston is an important research heuristic for PP analysis. 8 In the chapter “Normative functions and mechanisms in predictive processing”, I start my analyzes by formulating an answer to the question about the normative nature of homeostatic mechanisms. I demonstrate that predictive mechanisms are not homeostatic. I defend the view that a full explanation of normative mechanisms presupposes an explanation of normative functions. I discuss the most important proposals for understanding the normativity of a function, both from a systemic and teleosemantic perspective. I conclude that the non-trivial concept of a function must meet two requirements which I define as explanatory and normative. I show that none of the theories I have invoked satisfactorily meets both of these requirements. Instead, I propose a model of normativity based on Bickhard's account, but supplemented by a mechanistic perspective. I argue that a function is normative when: (1) it allows one to explain the dysfunction of a given mechanism; (2) it contributes to the maintenance of the organism's stability by shaping and limiting possible relations, processes and behaviors of a given system; and when (3) (according to the representational and predictive functions) it enables explaining the attribution of logical values of certain representations / predictions. In such an approach, a mechanism is normative when it performs certain normative functions and when it is constitutive for a specific action or behavior, despite the fact that for some reason it cannot realize it either currently or in the long-term. Such an understanding of the normativity of mechanisms presupposes the acceptance of the epistemic hypothesis. I argue that this hypothesis is not cognitively satisfactory, and therefore the ontic hypothesis should be justified, which is directly related to adopting the position of ontic prescriptivism. For this reason, referring to the mechanistic theory of scientific explanations, I formulate an ontical interpretation of the concept of a normative mechanism. According to this approach, a mechanism or a function is normative when they perform such and such causal roles in explaining certain actions and behaviors. With regard to the normative properties of predictive mechanisms and functions, this means that they are the causes of specific actions an organism carries out in the environment. In this way, I justify the necessity of accepting the ontic hypothesis and rejecting the epistemic hypothesis. The fifth chapter, “Normative mechanisms and actions in predictive processing”, is devoted to the dark room problem and the related exploration-exploitation trade-off. A dark room is the state that an agent could be in if it minimized the sum of all potential prediction errors. I demonstrate that, in accordance with the basic assumption of PP about the need for continuous and long-term minimization of prediction errors, such a state should be desirable for the agent. Is it really so? Many authors believe it is not. I argue that the test of the value of PP is the possibility of a non-trivial solution of this problem, which can be reduced to the choice between active and uncertainty-increasing exploration and safe and easily predictable exploitation. I show that the solution proposed by PP supporters present in the literature does not enable a fully satisfactory explanation of this dilemma. Then I defend the position according to which the full explanation of the normative mechanisms, and, subsequently, the solution to the dilemma of exploration and exploitation, involves reference to the existence of constraints present in the environment. The constraints 9 include elements of the environment that make a given mechanism not only causal but also normative. They are therefore key to explaining the predictive mechanisms. They do not only play the role of the context in which the mechanism is implemented, but, above all, are its constitutive component. I argue that the full explanation of the role of constraints in normative predictive mechanisms presupposes the integration of individual models of specific cognitive phenomena, because only the mechanistic integration of PP with other models allows for a non-trivial explanation of the nature of normative predictive mechanisms that would have a strong explanatory value. The explanatory monism present in many approaches to PP makes it impossible to solve the problem of the dark room. Later in this chapter, I argue that the Bayesian PP is normative not because it enables the formulation of such and such rules of action, but because the predictive mechanisms themselves are normative. They are normative because they condition the choice of such and such actions by agents. In this way, I justify the hypothesis that normative mechanisms make it possible to explain the phenomenon of agent motivation, which is crucial for solving the dark room problem. In the last part of the chapter, I formulate the hypothesis of distributed normativity, which assumes that the normative nature of certain mechanisms, functions or objects is determined by the relations into which these mechanisms, functions or objects enter. This means that what is normative (in the primary sense) is the relational structure that constitutes the normativity of specific items included in it. I suggest that this hypothesis opens up many areas of research and makes it possible to rethink many problems. In the “Conclusion”, I summarize the results of my research and indicate further research perspectives. (shrink)

How should scientists carve up cognition to generate good predictions, explanations, and models of cognition? This chapter argues that cognitive categories should be constructed the same way that biological categories are: in terms of homology. The chapter adapts a developmental account of trait identity from evolutionary-developmental biology to make sense of the notion of “cognitive homology.” The consequence is that both brain structures and the organism’s ongoing interactions with the environment are crucial for individuating cognitive homologies, and thus for cognitive (...) ontology. (shrink)

This article examines one argument in favour of the position that the relational properties of mental states do not have causal powers over behaviour. This argument states that we establish that the relational properties of mental states do not have causal powers by considering cases where intrinsic properties remain the same but relational properties vary to see whether, under such circumstances, behaviour would ever vary. The individualist argues that behaviour will not vary with relational properties alone, which (...) means that they don’t have causal powers. Four replies are presented which all reject the premise that under such conditions behaviour can never be different, and each of these are refuted. The article concludes by arguing that knowing about the relational properties of mental states gives no predictive advantage over (and, in fact, is predictively worse than) knowing about the intrinsic properties of mental states plus context. (shrink)

As one of the most contagious diseases in history, Corona Virus (COVID-19) spread rapidly around the world infecting millions of people in the year 2020. Besides killing huge number of persons, the calamity not only ignited severe panic and chaos among them, it even affected vast businesses and stock markets around the globe. This study was undertaken to investigate those determinants, which affected the extent of stock market investors’ behavior in Pakistan during spread of COVID-19. Data was collected from various (...) individual investors, representing a high response rate of about 86.5% from 167 respondents. From the analysis it was indicated that most important and significantly influencing determinants on investment decisions in Pakistan Stock Markets are pertinent to: ‘getting rich quickly, loss aversion, fear of losses, expected corporate earnings and dividends, gut feelings on the economy, previous performances of firm’s stock and opinions of its majority shareholders, and eventually, the recommendations of brokers and family/friends. Our findings would first, assist in understanding the most common behavioral patterns of investors and secondly, determine to show the adequate paths, which lead towards the growth of Pakistan Stock Market. (shrink)

Abstract -/- Rationale, aims and objectives: Irregularity limits human ability to know, understand and predict. A better understanding of irregularity may improve the reliability of knowledge. -/- Method: Irregularity and its consequences for knowledge are considered. -/- Results: Reliable predictive empirical knowledge of the physical world has always been obtained by observation of regularities, without needing science or theory. Prediction from observational knowledge can remain reliable despite some theories based on it proving false. A naïve theory of irregularity is outlined. (...) Reducing irregularity and/or increasing regularity can increase the reliability of knowledge. Beyond long experience and specialization, improvements include implementing supporting knowledge systems of libraries of appropriately classified prior cases and clinical histories and education about expertise, intuition and professional judgement. -/- Conclusions: A consequence of irregularity and complexity is that classical reductionist science cannot provide reliable predictions of the behaviour of complex systems found in nature, including of the human body. Expertise, expert judgement and their exercise appear overarching. Diagnosis involves predicting the past will recur in the current patient applying expertise and intuition from knowledge and experience of previous cases and probabilistic medical theory. Treatment decisions are an educated guess about the future (prognosis). Benefits of the improvements suggested here are likely in fields where paucity of feedback for practitioners limits development of reliable expert diagnostic intuition. Further analysis, definition and classification of irregularity is appropriate. Observing and recording irregularities are initial steps in developing irregularity theory to improve the reliability and extent of knowledge, albeit some forms of irregularity present inherent difficulties. (shrink)

Do university ethics classes influence students’ real-world moral choices? We aimed to conduct the first controlled study of the effects of ordinary philosophical ethics classes on real-world moral choices, using non-self-report, non-laboratory behavior as the dependent measure. We assigned 1332 students in four large philosophy classes to either an experimental group on the ethics of eating meat or a control group on the ethics of charitable giving. Students in each group read a philosophy article on their assigned topic and optionally (...) viewed a related video, then met with teaching assistants for 50-minute group discussion sections. They expressed their opinions about meat ethics and charitable giving in a follow-up questionnaire (1032 respondents after exclusions). We obtained 13,642 food purchase receipts from campus restaurants for 495 of the students, before and after the intervention. Purchase of meat products declined in the experimental group (52% of purchases of at least $4.99 contained meat before the intervention, compared to 45% after) but remained the same in the control group (52% both before and after). Ethical opinion also differed, with 43% of students in the experimental group agreeing that eating the meat of factory farmed animals is unethical compared to 29% in the control group. We also attempted to measure food choice using vouchers, but voucher redemption rates were low and no effect was statistically detectable. It remains unclear what aspect of instruction influenced behavior. (shrink)

The data presents an examination of Islamic ethical work behavior of Malay Muslim teachers in Brunei through religiosity and theory of planned behavior. The total number of participants was 370 Bruneian Malay Muslim teachers. The participants were sampled from two different types of school systems being non-religious schools and religious schools, with five schools each. By documenting information of the data, this data article presented the demographic characteristics of participants, and reliability and correlation of measures involved. Analyses of the data (...) can provide insights into determinants and in predicting Islamic ethical work behavior. Furthermore, the data will be useful for researchers and policymakers that are interested in knowing the current situation of religiosity and behavior in the country. It can also be used as references in developing interventions, promoting and facilitating Islamic ethical work behavior in the workplace. (shrink)

Purpose – Although there have been several studies on corporate justice and employee ethical behavior, little is known about the conditions in which this link develops. The purpose of this study is to investigate the direct effect of organizational justice and moral attentiveness toward employee ethical behavior. Importantly, this study also considers the moderating role of moral attentiveness on the links between organizational justice and employee ethical behavior. -/- Design/methodology/approach – The data was collected from 350 employees who were assessed (...) directly to supervisors in 12 manufacturing companies placed in Malaysia, operated full-time, and had regular interaction with their direct supervisors. In particular, using two-wave survey data obtained from 270 employees working in the manufacturing industry in Malaysia. -/- Findings – Results showed that organizational justice and moral attentiveness positively impact the employee ethical behavior as predicted. New to the literature, findings disclose that moral attentiveness strengthens this relationship. Importantly, the positive impact of organizational justice is sharply positive under high than low moral attentive employees and ceases to be significant among low morally attentive personnel. -/- Research limitations/implications – This research focused on the notion of ethics and how important it is for society. The principles, norms and ideals that guide an individual’s behavior are referred to as ethics. Because the authors need to be treated with dignity as human beings, ethical behavior is essential in society. -/- Practical implications – The findings of this study send a clear signal to managers that “failing to ensure that their employees perceive organizational justice” may undermine every effort made by them to improve their organizations’ ethical quality. Importantly, the findings emphasize the role of moral attentiveness in improving the ethical behavior of employees both directly and by strengthening the effectiveness of organizational justice to impact such a behavior positively. So, given the advantages of moral attentiveness in terms of improving employee ethical conduct, businesses should make every effort to hire and choose people who meet this requirement because it is not easy to spot this personality trait. Human resource managers may assess candidates’ moral attentiveness using a range of methods such as group debate, an in-basket exercise, organized interviews and business games that concentrate on specific ethical concerns. -/- Social implications – This research focused on the notion of ethics and how important it is for society. The principles, norms and ideals that guide an individual’s behavior are referred to as ethics. Because the authors need to be treated with dignity as human beings, ethical behavior is essential in society. (shrink)

General Relativity’s Schwarzschild solution describes a spherically symmetric gravitational field as an utterly static thing. The Space Generation Model describes it as an absolutely moving thing. The light propagation time-delay experiment of Shapiro-Reasenberg [1] and the falling atomic clock experiment of Vessot-Levine [2] provide the ideal context for illustrating how, though the respective world views implied by these models are radically di fferent, they make nearly the same prediction for the results of these experiments.