How should we punish criminal offenders? One prima facie attractive punishment is administering a mandatory neurointervention—interventions that exert a physical, chemical or biological effect on the brain in order to diminish the likelihood of some forms of criminal offending. While testosterone-lowering drugs have long been used in European and US jurisdictions on sex offenders, it has been suggested that advances in neuroscience raise the possibility of treating a broader range of offenders in the future. Neurointerventions could be a cheaper, and (...) more effective method of punishment. They could also be more humane. Nevertheless, in this paper we provide an argument against the use of mandatory neurointerventions on offenders. We argue that neurointerventions inflict a significant harm on an offender that render them a morally objectionable form of punishment in a respect that incarceration is not. Namely, it constitutes an objectionable interference with the offender’s mental states. However, it might be thought that incarceration also involves an equally objectionable interference with the offender’s mental states. We show that even if it were the case that the offender is harmed to the same extent in the same respect, it does not follow that the harms are morally equivalent. We argue that if one holds that intended harm is more difficult to justify than harm that is unintended but merely foreseen, this means neurointerventions could be morally objectionable in a significant respect that incarceration is not. (shrink)

Machine intelligence already helps medical staff with a number of tasks. Ethical decision-making, however, has not been handed over to computers. In this proof-of-concept study, we show how an algorithm based on Beauchamp and Childress’ prima-facie principles could be employed to advise on a range of moral dilemma situations that occur in medical institutions. We explain why we chose fuzzy cognitive maps to set up the advisory system and how we utilized machine learning to train it. We report on the (...) difficult task of operationalizing the principles of beneficence, non-maleficence and patient autonomy, and describe how we selected suitable input parameters that we extracted from a training dataset of clinical cases. The first performance results are promising, but an algorithmic approach to ethics also comes with several weaknesses and limitations. Should one really entrust the sensitive domain of clinical ethics to machine intelligence? (shrink)

The article studies the impact of Fintech on entrepreneurship in Arabic region by using Crowdfunding platforms as the field of study. The article focuses on Arabic Crowdfunding platforms. The population of (12) platforms consist of: individuals, entrepreneurs, investors, employees at Crowdfunding platforms. Descriptive and quantitative approach used in this article, and a questionnaire used as a tool to collect primary data. The results indicate an impact for Fintech on entrepreneurship in general and obvious obstacles to use it widely in Arabic (...) region cause of legislations or e-payments. The article recommended more awareness for innovative products and services such as Fintech, Crowdfunding and adopting the culture of e-business models. Also the article promoting the process of developing regulations that organize e-business models, especially Fintech and Crowdfunding, the use of modern communication technology to serve the development of society, more interest to innovation and creativity as a key factor for entrepreneurial success. (shrink)

Is capitalism inherently predatory? Must there be winners and losers? Is public interest outdated and free-riding rational? Is consumer choice the same as self-determination? Must bargainers abandon the no-harm principle? Prisoners of Reason recalls that classical liberal capitalism exalted the no-harm principle. Although imperfect and exclusionary, modern liberalism recognized individual human dignity alongside individuals' responsibility to respect others. Neoliberalism, by contrast, views life as ceaseless struggle. Agents vie for scarce resources in antagonistic competition in which every individual seeks dominance. This (...) political theory is codified in non-cooperative game theory; the neoliberal citizen and consumer is the strategic rational actor. Rational choice justifies ends irrespective of means. Money becomes the medium of all value. Solidarity and good will are invalidated. Relationships are conducted on a quid pro quo basis. However, agents can freely opt out of this cynical race to the bottom by embracing a more expansive range of coherent action. (shrink)

This paper explores how the Leviathan that projects power through nuclear arms exercises a unique nuclearized sovereignty. In the case of nuclear superpowers, this sovereignty extends to wielding the power to destroy human civilization as we know it across the globe. Nuclearized sovereignty depends on a hybrid form of power encompassing human decision-makers in a hierarchical chain of command, and all of the technical and computerized functions necessary to maintain command and control at every moment of the sovereign's existence: this (...) sovereign power cannot sleep. This article analyzes how the form of rationality that informs this hybrid exercise of power historically developed to be computable. By definition, computable rationality must be able to function without any intelligible grasp of the context or the comprehensive significance of decision-making outcomes. Thus, maintaining nuclearized sovereignty necessarily must be able to execute momentous life and death decisions without the type of sentience we usually associate with ethical individual and collective decisions. (shrink)

This article assesses how autonomy and machine learning impact the existential risk of nuclear war. It situates the problem of cyber security, which proceeds by stealth, within the larger context of nuclear deterrence, which is effective when it functions with transparency and credibility. Cyber vulnerabilities poses new weaknesses to the strategic stability provided by nuclear deterrence. This article offers best practices for the use of computer and information technologies integrated into nuclear weapons systems. Focusing on nuclear command and control, avoiding (...) autonomy and machine learning is recommended as one means to reduce the existential risk of unintended nuclear conflict. (shrink)

Tato recenzní studie sleduje analogii, na níž založil svoji metodu bádání i psaní Douglas R. Hofstadter v knize Gödel, Escher, Bach. Proti Hofstadterovu pojetí analogie, kromě jiného ilustrované zavádějícími příklady skladeb J. S. Bacha, je analogie v této studii precizována. Zároveň jsou ve studii napraveny nedostatky hudebních příkladů, jež by patrně neodhalili čtenáři bez přímé vazby na hudební teorii. Tyto aspekty sleduje tato studie až k závěru, že recenzovaná vlivná kniha, neprávem aspirující na metodologii veškerenstva, patří mezi poulárně naučnou literaturu.

As these opening quotes acknowledge, the Prisoner’s Dilemma (PD) represents a core puzzle within the formal mathematics of game theory.3 Its rise in conspicuity is evident figure 2.1 above demonstrating a relatively steady rise in incidences of the phrase’s usage between 1960 to 1995, with a stable presence persisting into the twenty first century. This famous two-person “game,” with a stock narrative cast in terms of two prisoners who each independently must choose whether to remain silent or speak, each advancing (...) self-interest at the expense of the other and thereby achieving a mutually suboptimal outcome, mires any social interaction it is applied to into perplexity. The logic of this game proves the inverse of Adam Smith’s invisible hand: individuals acting on self interest will achieve a mutually suboptimal outcome. However, as this chapter illuminates, the assumptions underlying game theory drive this conclusion. (shrink)

Along with inefficiencies of mainstream sciences to find solutions for world problems, and besides the unpleasant difficulties in human lives due to such matters as poverty and economic gap, environmental pollution and climate change, the question raised is whether alternative sciences are contingent, which could preserve mainstream sciences’ potencies and avoid inefficiencies. Along this, religious incentives also seek ways to compromise sciences with divine learnings. To answer this question and benefit from alternative sciences, the contingency of heterodox sciences has to (...) be discussed. The article Starts by an introduction to efforts made towards Islamization of science, then contingency of heterodox sciences is analyzed from the metaphysics of science point of view. The pioneer inquiry in this regard is a less-known essay of Immanuel Kant titled Metaphysical Foundations of Natural Science. This article touches topics such as the relation of metaphysics to science, the contingency of metaphysics of science, the contingency of different metaphysics, and metaphysical foundations of social sciences. And later explains the contingency conditions of heterodox sciences and some advantages of metaphysical approach to these sciences. (shrink)

With regards to the inefficiencies and uncompromising situations within the humanities and social sciences field in Iran, the challenge of problematizing these sciences is inevitable. So far, numerous research analyzing humanities and social sciences’ problems in the Iranian academic system have been published. Considering the important role of humanities and social sciences in the modern Iranian society, we attempt to suggest a theoretical framework for the problematization of humanities and social sciences in Iran. The exploration of the main challenges facing (...) humanities and social sciences in Iran from the community, academy and administration point of view, sparks three hypotheses. First, humanities and social sciences’ theories and teachings are not applied accurately. Second, the humanities and social sciences’ schools of thought are not chosen properly according to Iranian circumstances. And third, there are metaphysical differences between axioms and presupposition of humanities and social sciences having western origins and those with Islamic-Iranian culture. (shrink)

This chapter uses Uskali Mäki’s (2009) concepts of “good” and “bad” imperialism to investigate the “economics imperialism” thesis. If science expands by offering (a) consilience, and (b) epistemological and ontological unity – that is, it explains more phenomena with greater parsimony – then this is good scientific expansion. Economics imperialism is only bad if the methodology of economics expands outside its domain without increasing understanding in the above manners.

This chapter discusses cryptocurrency, distributed ledger technology and blockchain tokens within the context of technological innovation, the history of money and accounting practices, and their multiple functionalities beyond those of standard currencies. This discussion is motivated by the design of cryptocurrencies for specific community needs, and to reflect anti-rival, positive sum value.

The goal of this essay is to explore "the highly contested nature of [decision-making through adopting] a historically comparative and interdisciplinary approach." Internalist history of game theory treats decision theory as a science of making choices to maximize expected gain. Game theory is applied to nuclear deterrence and military strategy, building markets and designing institutions, analyzing collective action, developing jurisprudence, and addressing crime and punishment. This essay draws on recent historiography of Cold War decision-making to draw into focus the constructive (...) aspects of decision theory to argue that the perceived need to avoid worst-case scenarios has instead contributed to a world in which the worst outcome is probabilistically assured to occur over the long duree timeframe. (shrink)

Ageing is one of the main risk factors for Covid-19. In this paper, we delineate four alternative conceptualisations of ageing, each of which determines different understandings of its causal role to the susceptibility to Covid-19 as well as to the severity of its symptoms and adverse health outcomes.

This chapter uncovers the complex negotiations for authority in various representations about futures of life which have been advanced by different branches of the sciences, and have culminated in the emerging concept of life as algorithm. It charts the historical shifts in expertise and representations of life, from naturalists, to mathematical modellers, and specialists in computation, and argues that physicists, game theorists, and economists now take a leading role in explaining and projecting futures of life. The chapter identifies Richard Dawkins (...) and Max Tegmark at the forefront of the concept of life as algorithm: the first inspired by game theory as a means to study evolution; the second proposing that a materialist basis of life could place humans and artificial intelligence on an equal footing. Through close reading of their respective texts, the chapter demonstrates that both thinkers consider life as an algorithm programmed to achieve success in survival and reproduction. (shrink)

This forum contribution addresses two major themes in de Goede’s original essay on ‘Financial security’: (1) the relationship between stable markets and the proverbial ‘security dilemma’; and (2) the development of new decision-technologies to address risk in the post-World War II period. Its argument is that the confluence of these two themes through rational choice theory represents a fundamental re-evaluation of the security dilemma and its relationship to the rule of law governing market relations, ushering in an era of perpetual (...) physical and financial insecurity. (shrink)

This paper reconsiders whether rational choice and game theory represent cases of economics imperialism. It follows the work of Uskali Maki who analyzes the significance and characteristics of disciplinary imperialism in natural science and social science. "Economics Imperialism" is a term often used to describe the increasing impact and reach of economics with respect to its encroachment on other disciplines including political science and psychology. Maki provides a framework for assessing whether the influence of one discipline on another could be (...) a case of "good imperialism" consistent with unification and greater explanatory power. The paper examines whether in the case of economics, "rational choice imperialism" is a better understanding of the question of contention. Rational choice has been used to model addiction, sex, marriage, sleep, and suicide. Applying tools offered by Maki, this paper argues that although the imperialism of rational choice over multiple disciplines provides a unified means of modeling human action, it does not demonstrably achieve deeper understanding of either individual or collective action. Furthermore, rational choice modeling may alter the human practices it analyzes if it is used in public policy. Thus although rational choice offers a means to check for deductive consistency within and among its models, it has elements suggestive of the "bad disciplinary imperialism" that Uskali provides a means to critique. (shrink)

This paper examines how the concepts of utility, impartiality, and universality worked together to form the foundation of Adam Smith's jurisprudence. It argues that the theory of utility consistent with contemporary rational choice theory is insufficient to account for Smith's use of utility. Smith's jurisprudence relies on the impartial spectator's sympathetic judgment over whether third parties are injured, and not individuals' expected utility associated with individuals' expected gains from rendering judgments over innocence or guilt.

This paper analyses the National Populist Challenges to Europe’s Center Right. It assesses the cases of the UK, Germany and France. It poses three questions for Europe: How will political integration be achieved and maintained? What policies will foster economic inclusion in the Eurozone? And, third, what are the best means to achieve economic solvency and growth. The paper make a case that neoliberal economic policies over the past decades have undermined some nations' public sector and have also contributed to (...) tensions between the geographical east and west of Europe. (shrink)

This chapter discusses cryptocurrency, distributed ledger technology and blockchain tokens within the context of technological innovation, the history of money and accounting practices, and their multiple functionalities beyond those of standard currencies. This discussion is motivated by the design of cryptocurrencies for specific community needs, and to reflect anti-rival, positive sum value.

In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor was developed and tested. Taking patients’ tests, a number of information gained that influence the classification of the tumor. Such information as age, sex, histologic-type, degree-of-diffe, status of bone, bone-marrow, lung, pleura, peritoneum, liver, brain, skin, neck, supraclavicular, axillar, mediastinum, and abdominal. They were used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was established and trained using (...) data set which its title is “primary tumor” and was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia Test data evaluation shows that the ANN model is able to correctly predict the tumor category with 76.67 % accuracy. (shrink)

This book is an edited collection of original research papers on the digital revolution of the public and governance. It covers cyber governance in Finland, and the securitization of cyber security in Finland. It investigates the cases of Brexit, the 2016 US presidential election of Donald Trump, the 2017 presidential election of Volodymyr Zelensky, and Brexit. It examines the environmental concerns of climate change and greenwashing, and the impact of digital communication giving rise to the #MeToo and Incel movements. It (...) considers how digitilization can serve to emancipate women through ride-sharing, and how it leads to the question of robot rights. It considers fake news and algorithmic governance with respect to case studies of the Chinese social credit system, the US FICO credit score, along with Facebook, Twitter, Cambridge Analytica and the European effort to regulate and protect data usage. (shrink)

It is crucial to actively detect the risks of transactions in a financial company to improve customer experience and minimize financial loss. In this study, we compare different machine learning algorithms to effectively and efficiently predict the legitimacy of financial transactions. The algorithms used in this study were: MLP Repressor, Random Forest Classifier, Complement NB, MLP Classifier, Gaussian NB, Bernoulli NB, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Bagging Classifier, Decision Tree Classifier and Deep Learning. The dataset (...) was collected from Kaggle depository. It consists of 6362620 rows and 10 columns. The best classifier with unbalanced dataset was the Random Forest Classifier. The Accuracy 99.97%, precession 99.96%, Recall 99.97% and the F1-score 99.96%. However, the best classifier with balanced dataset was the Bagging Classifier. The Accuracy 99.96%, precession 99.95%, Recall 99.98% and the F1-score 99.96%. (shrink)

Breast cancer is one of the leading causes of death among women worldwide. Early detection plays a crucial role in improving survival rates, and machine learning (ML) provides powerful tools for identifying cancerous tumors in medical imaging and diagnostic data. This paper explores various machine learning techniques used for breast cancer detection, with a particular focus on the Wisconsin Breast Cancer Dataset (WBCD). We evaluate several classification models, including Logistic Regression (LR), Support Vector Machine (SVM), k-Nearest Neighbors (k-NN), and Random (...) Forest (RF), for their ability to accurately classify benign and malignant tumors. The goal of this paper is to demonstrate the use of supervised learning techniques to enhance early breast cancer detection. (shrink)

What are words? What makes two token words tokens of the same word-type? Are words abstract entities, or are they (merely) collections of tokens? The ontology of words tries to provide answers to these, and related questions. This article provides an overview of some of the most prominent views proposed in the literature, with a particular focus on the debate between type-realist, nominalist, and eliminativist ontologies of words.

I argue for an account of grasping, or understanding that, on which we grasp via a higher‐order mental act of Husserlian fulfillment. Fulfillment is the act of matching up the objects of our phenomenally presentational experiences with those of our phenomenally representational thought. Grasping‐by‐fulfilling is importantly different from standard epistemic aims, in part because it is phenomenal rather than inferential. (I endorse Bourget's (2017) arguments to that effect.) I show that grasping‐by‐fulfilling cannot be a species of propositional knowledge or belief, (...) and that it is not essentially connected to justification. I motivate a revisionary epistemology on which achieving propositional knowledge and coming to grasp are dual epistemic aims. My account makes sense of a common occurrence—that we are often unmoved to act on our beliefs until we come to phenomenally experience them in some way. It also explains puzzling features of human inquiry. (shrink)

Some philosophers argue that martial arts training is maladaptive, contributes to psychological illness, and provides a social harm, whereas others argue that martial arts training is adaptive, contributes to psychological wellness, and provides a social benefit. This debate is important to scholars and the general public since beliefs about martial arts training can have a real impact on how we evaluate martial artists for job opportunities and career advancement, and in general, how we treat martial artists from different cultures in (...) our communities. This debate is also important for children and adults that have considered enrolling in martial arts training programs but remain uncertain about potential outcomes of training due to the lack of research in this area. This article therefore contributes to the literature on martial arts by (1) outlining a framework that characterizes psychological well-being in terms of five elements, (2) discussing how results from empirical research support the hypothesis that Muay Thai training can contribute to psychological well-being by contributing to all five component elements, (3) discussing the psychological benefits of martial arts training from the perspective of an Everlast Master Instructor, and (4) discussing how martial arts training involves the cultivation of combat-relevant affordances. (shrink)

The problem of evil is broadly considered to be one of the greatest intellectual threats to traditional brands of theism. And William Rowe’s 1979 formulation of the problem in “The Problem of Evil and Some Varieties of Atheism” is the most cited formulation in the contemporary philosophical literature. In this paper, we explore how the tools and resources of experimental philosophy might be brought to bear on Rowe’s seminal formulation, arguing that our empirical findings raise significant questions regarding the ultimate (...) success of Rowe’s argument. Such a result would be quite notable within philosophy of religion, since this is considered one of the most formidable arguments against theism. However, further testing is needed before any firm conclusions can be drawn. -/- In section 1, we elucidate Rowe’s formulation of the problem of evil and the intuitions that seem to underwrite it. In section 2, we explore how the tools and resources of experimental philosophy might be brought to bear on Rowe’s formulation, outlining our hypotheses and our methods for testing them before showcasing our results. In section 3, we discuss the philosophical import of our results–arguing that our results, when taken together, pose an initial challenge to Rowe’s seminal argument. (shrink)

It has been widely argued that words are analogous to species such that words, like species, are natural kinds. In this paper, I consider the metaphysics of word-kinds. After arguing against an essentialist approach, I argue that word-kinds are homeostatic property clusters, in line with the dominant approach to other biological and psychological kinds.

In the correspondence with Arnauld, Leibniz contends that each corporeal substance has a substantial form. In support he argues that to be real a corporeal substance must be one and indivisible, a true unity. I will show how this argument precludes a tempting interpretation of corporeal substances as composite unities. Rather it mandates the interpretation that each corporeal substance is a single monad.

ABSTRACT The idea that two words can be instances of the same word is a central intuition in our conception of language. This fact underlies many of the claims that we make about how we communicate, and how we understand each other. Given this, irrespective of what we think words are, it is common to think that any putative ontology of words, must be able to explain this feature of language. That is, we need to provide criteria of identity for (...) word-types which allow us to individuate words such that it can be the case that two particular word-instances are instances of the same word-type. One solution, recently further developed by Irmak, holds that words are individuated by their history. In this paper, I argue that this view either fails to account for our intuitions about word identity, or is too vague to be a plausible answer to the problem of word individuation. (shrink)

*As mentioned in Peter Coy's NYT essay "When Being Good Is Just a Matter of Being Lucky" (2023) -/- ----- -/- How is the problem of free will related to the problem of moral luck? In this essay, I answer that question and outline a new solution to the paradox of moral luck, the source-paradox solution. This solution both explains why the paradox arises and why moral luck does not exist. To make my case, I highlight a few key connections (...) between the paradox of moral luck and two related problems, namely the problem of free will and determinism and the paradox of self-creation. Piecing together intuitions, arguments, and insights from recent work on each of these three problems, I argue that the type of control necessary for moral responsibility can only be had by someone who is a genuine source of his own actions, but the relevant notion of sourcehood admits no coherent characterization. If our commonsense view of moral responsibility is incoherent, it is unsurprising that our commitment to the existence of morally responsible agents commits us to some paradoxical things—e.g. to both the existence and impossibility of moral luck. For more information about this article, please write to gmail account: kristin.mickelson.42. (shrink)

Abstract: Ensuring the proactive detection of transaction risks is paramount for financial institutions, particularly in the context of managing credit scores. In this study, we compare different machine learning algorithms to effectively and efficiently. The algorithms used in this study were: MLogisticRegressionCV, ExtraTreeClassifier,LGBMClassifier,AdaBoostClassifier, GradientBoostingClassifier,Perceptron,RandomForestClassifier,KNeighborsClassifier,BaggingClassifier, DecisionTreeClassifier, CalibratedClassifierCV, LabelPropagation, Deep Learning. The dataset was collected from Kaggle depository. It consists of 164 rows and 8 columns. The best classifier with unbalanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%,Recall100.0% and the F1-score (...) 100.0%. However, the best classifier with balanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%, Recall 100.0% and the F1-score 100.0%. (shrink)

Biological evolution is a complex blend of ever changing structural stability, variability and emergence of new phe- notypes, niches, ecosystems. We wish to argue that the evo- lution of life marks the end of a physics world view of law entailed dynamics. Our considerations depend upon dis- cussing the variability of the very ”contexts of life”: the in- teractions between organisms, biological niches and ecosys- tems. These are ever changing, intrinsically indeterminate and even unprestatable: we do not know ahead of (...) time the ”niches” which constitute the boundary conditions on selec- tion. More generally, by the mathematical unprestatability of the ”phase space”, no laws of mo- tion can be formulated for evolution. We call this radical emergence, from life to life. The purpose of this paper is the integration of variation and diversity in a sound concep- tual frame and situate unpredictability at a novel theoretical level, that of the very phase space. Our argument will be carried on in close comparisons with physics and the mathematical constructions of phase spaces in that discipline. The role of symmetries as invariant preserving transformations will allow us to under- stand the nature of physical phase spaces and to stress the differences required for a sound biological theoretizing. In this frame, we discuss the novel notion of ”enablement”. Life lives in a web of enablement and radical emergence. This will restrict causal analyses to differential cases. Mutations or other causal differ- ences will allow us to stress that ”non conservation princi- ples” are at the core of evolution, in contrast to physical dynamics, largely based on conservation principles as sym- metries. Critical transitions, the main locus of symmetry changes in physics, will be discussed, and lead to ”extended criticality” as a conceptual frame for a better understanding of the living state of matter. (shrink)

This paper aims to analyze the relationship between applied social sciences and practical wisdom. Utilizing conceptual analysis methodology, it begins by defining application, action, and practice, then delves into the conceptual analysis of applied social sciences and practical wisdom. The concept of phronesis in Aristotle's philosophy and practical wisdom in Muslim philosophers are studied and analyzed. By examining different definitions of practical wisdom among Muslim scholars and comparing their views with those of Aristotle, the paper evaluates their perspectives. Subsequently, it (...) focuses on exploring the relationship between applied social sciences and practical wisdom, analyzing their points of divergence and convergence. Considering the inherent nature of applied social sciences as technological and practical, contrasted with the virtue-based nature of practical wisdom, the paper raises the question of whether phronesis can logically benefit from pure applied social sciences as theoretical wisdom to guide individuals towards virtuous action. It also questions whether this scenario could be considered a form of applied social sciences. (shrink)

The fundamental duty of information in elections by candidates using artificial intelligence (AI) represents a significant shift in political campaign strategies and voter engagement. In the digital age, AI's role in elections is multifaceted, encompassing data analysis, voter targeting, and communication. The integration of AI in political campaigns can enhance the dissemination of information, making it more tailored and efficient. Candidates are now able to leverage AI to analyse vast amounts of data, identify voter preferences, and craft personalized messages that (...) resonate with specific demographics. This capability can lead to more informed voters and potentially higher voter turnout, as individuals receive information that directly addresses their concerns and interests. The use of AI in elections also raises critical ethical and regulatory questions. One of the primary concerns is the transparency and accuracy of the information disseminated by AI systems. Candidates have a fundamental duty to ensure that the information shared is truthful, unbiased, and free from manipulation. The spread of misinformation and disinformation through AI-generated content poses a threat to the integrity of elections, as it can mislead voters and undermine democratic processes. The deployment of AI in elections must be accompanied by efforts to educate the public about AI technologies and their implications. Voters need to be aware of how their data is being used and the potential biases that AI systems might introduce. Transparency in AI algorithms and their decision-making processes is crucial to building trust between candidates and the electorate. Additionally, candidates must address concerns regarding data privacy and security, as the use of AI often involves the collection and analysis of personal data. While AI offers significant advantages in enhancing the flow of information during elections, it also brings forth challenges that require careful consideration and management. Candidates have a fundamental duty to ensure the responsible use of AI, prioritizing transparency, accuracy, and ethical standards. By doing so, they can harness the power of AI to create a more informed and engaged electorate, ultimately strengthening the democratic process. The future of elections will likely see an increasing reliance on AI, making it crucial for candidates, regulators, and the public to collaboratively navigate the complexities associated with this technology. (shrink)

Background: Mint is a grassy, perennial plant, belonging to the oral platoon, fast growing and spreading, its leaves are green in color, fragrant, tart, refreshing, square-shaped leg, bifurcated, erect, ranging in height from (10 - 201 cm). Home to Europe and Asia. The mint plant has many benefits, the most important of which are pain relief, treatment of gallbladder disorders, the expulsion of gases, anti-inflammatory, and relaxing nerves. While the mint plant is the ideal option for the start of gardens, (...) it is prone to some common diseases that affect the plant's growth. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper, the design of the proposed Expert System was produced to help Farmers and those interested in agriculture in diagnosing many of the Mint diseases such as Mint rust, Verticillium wilt, Anthracnose, Powdery mildew, Black Stem Rot, Stem and stolon canker, Septoria leaf spot. The proposed expert system presents an overview of mint diseases are given, the cause of diseases outlined and the treatment of disease whenever possible is given out. CLIPS Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Mint diseases diagnosis expert system was evaluated by Agricultural Students at AL Azhar University and some friends interested in agriculture and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for Farmers and those interested in agriculture. (shrink)

Abstract: As artificial intelligence (AI) technologies become more integrated across various sectors, ethical considerations in their development and application have gained critical importance. This paper delves into the complex ethical landscape of AI, addressing significant challenges such as bias, transparency, privacy, and accountability. It explores how these issues manifest in AI systems and their societal impact, while also evaluating current strategies aimed at mitigating these ethical concerns, including regulatory frameworks, ethical guidelines, and best practices in AI design. Through a comprehensive (...) analysis of these challenges and proposed solutions, this paper seeks to contribute to the ongoing discourse on responsible AI development, emphasizing the need for a balance between technological advancement and ethical integrity. (shrink)

Replicability and reproducibility of computational models has been somewhat understudied by “the replication movement.” In this paper, we draw on methodological studies into the replicability of psychological experiments and on the mechanistic account of explanation to analyze the functions of model replications and model reproductions in computational neuroscience. We contend that model replicability, or independent researchers' ability to obtain the same output using original code and data, and model reproducibility, or independent researchers' ability to recreate a model without original code, (...) serve different functions and fail for different reasons. This means that measures designed to improve model replicability may not enhance (and, in some cases, may actually damage) model reproducibility. We claim that although both are undesirable, low model reproducibility poses more of a threat to long-term scientific progress than low model replicability. In our opinion, low model reproducibility stems mostly from authors' omitting to provide crucial information in scientific papers and we stress that sharing all computer code and data is not a solution. Reports of computational studies should remain selective and include all and only relevant bits of code. (shrink)

Does martial arts practice contribute to psychological well-being in professional martial artists? If so, what are the specific ways that martial arts practice accomplishes this? It has been a long-standing and widely held belief that martial arts practice can contribute to psychological well-being, however, there has been a lack of empirical research in the psychological literature focused on investigating the details of this hypothesis. The purpose of this research is therefore to investigate the impact of a paradigmatic martial arts practice—shadowboxing—on (...) the psychological well-being of professional martial artists. In this article I present the results from an original empirical study on professional Muay Thai practitioners (n = 14) that reveals how a martial arts practice (shadowboxing) contributes to their overall psychological well-being by contributing to their positive emotions, engagement, relationships, meaning, and accomplishment. I present general results for how shadowboxing contributes to the psychological well-being of these professional martial artists overall, as well as more specific results for how shadowboxing contributes to the psychological well-being of these professional martial artists based on factors such as their gender, fight experience, and training location. This article also provides qualitative first-person reports from professional Muay Thai practitioners (n = 14) about their use of visualization and mental imagery and their experience of flow while shadowboxing, offering unique insight into the minds of professional martial artists as they are actively engaged in their craft. Finally, this article discusses the value and limitations of the present study and outlines suggestions for future research. (shrink)

In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title is “survey lung (...) cancer”. Model evaluation showed that the ANN model is able to detect the absence or presence of lung cancer with 96.67 % accuracy. (shrink)

In this article I offer an interpretation of the fundamental problem of phenomenology in terms of a philosophy of revelation proposing in this way the renewal of the last important development of Western philosophy both in terms of its metaphysical aspiration and scientific relevance. After the general introduction, I outline the philosophical problem of revelation. I show how this philosophy influenced early phenomenology. I explain the underlying subject matter in the history of phenomenology, i.e. the notion of disclosure. I also (...) outline what I term “apocalyptic phenomenology” in order to focus on the understanding of revelation. In this part I offer details of the notion of newness and the appropriate method applied here. Finally, I summarize the scientific relevance of my approach in the context of logic, methodology, disciplinarity with a special emphasis on the study of religion. (shrink)

Philosophers of science often assume that logically equivalent theories are theoretically equivalent. I argue that two theses, anti-exceptionalism about logic (which says, roughly, that logic is not a priori, that it is revisable, and that it is not special or set apart from other human inquiry) and logical realism (which says, roughly, that differences in logic reflect genuine metaphysical differences in the world), make trouble for both this commitment and the closely related commitment to theories being closed under logical consequence. (...) I provide three arguments. The first two show that anti-exceptionalism about logic provides an epistemic challenge to both the closure and the equivalence claims; the third shows that logical realism provides a metaphysical challenge to both the closure and the equivalence claims. Along the way, I show that there are important methodological upshots for metaphysicians and philosophers of logic. In particular, there are lessons to be drawn about certain conceptions of naturalism as constraining the possibilities for metaphysics and the philosophy of logic. (shrink)

Batı’da teorik felsefe; Analitik Felsefe (AF), Kıta Felsefesi (KF) ve Felsefe Tarihi (FT) olmak üzere üçe ayrılır. Fakat üçünde de işler yolunda değildir. AF, felsefenin bir bilim olabileceği iddiasından kuşku duyduğu için gerçek dünyayla ilgilenmiyorken başından beri uygun bir teorik yöntem izlemeyen Kıta Felsefesinin uygulanışı, belirli politik ve etik yargılara hizmet edecek şekilde özelleştirilmiştir. FT çalışmalarının gidişatı ise eldeki eserin nesnel değerinden daha çok ilgili filozofun ait olduğu ulus veya kültüre göre bölgesel bir temelde gelişmiştir. Felsefede ilerleme sağlanacaksa bu ancak (...) bahsi geçen tuzaklardan kaçınılarak gerçekleşebilir. (shrink)

This review of Richard Tuck's Free Riding conveys Tuck's crucial distinction between the logic of collective action which fails due to the problem of causal negligibility, and free riding, which has been modeled as a Prisoner's Dilemma and involves casually impacting another actor in an adverse manner. Tuck also distinguishes the practice of voting which he argues neither fails due to the worry of causal negligibility or due to free riding; instead it represents a problem of achieving sufficiency of votes (...) representing a minimum winning coalition. This article clarifies how the problem of collective action resembles perfect free market competition which is defined to be characterized by a state in which no single agent can impact the price of a good. Similarly, in a large scale collective action, no single actor can have a causal impact on the outcome of the vast enterprise. This inability to make a difference due to the negligibility of each individual's causal power differentiates collective action and the tragedy of the commons from other social problems. (shrink)

This paper analyses how security affects well-being. Security is understood as someone’s sureness of enjoying some good in the future; well-being is treated as a matter of human flourishing. Security can contribute to our well-being in various ways: if we are in fact bound to enjoy a good, in principle this is positive for our flourishing in the future; if we also believe that we will enjoy this good, we can be more efficient in pursuing our well-being; if we also (...) feel secure, this supports our enjoyment of our physical and mental capacities. For some of these benefits to obtain fully, however, it is important that our beliefs and feelings align with the facts. Furthermore, mirroring security’s upsides, there are also ways in which security can hamper our flourishing: it can obstruct the change, surprise, and pleasurable fear that are sometimes required for a good life too. (shrink)

In this essay, I explain why Gabriel De Marco's attempts to "solve" the invalidity problem for the Zygote Argument were non-starters. The first solution he describes was originally developed by Mickelson (2012/2015) and already adopted by Mele (2013), but De Marco presents it as his own (using an idiosyncratic labelling system). De Marco's second response fails because it is grounded in a patently invalid argument. Most importantly, De Marco (like Mele before him) fails to even mention that Mickelson wasn't interested (...) in the Zygote Argument per se, nor did she have the quixotic aim of providing "correct" definitions of anachronistic jargon like 'compatibilism' and 'incompatibilism' (for reasons explained in Mickelson's 2015 critique of Vihvelin's three-fold classification). Mickelson's invalidity objection served to highlight several novel and dialectically significant lessons, such as: it is surprisingly difficult to close the "explanatory gap" between incompossibilism and the standard causal luck explanation for incompossibilism without relying upon invalid arguments or question-begging assumptions. Indeed, there appears to be no argument in the free-will literature which does so -- i.e. there appears to be NO logically viable, non-question-begging argument for incompatibilism in the free-will literature as a whole! Philosophers like De Marco don't want to "fuss" over such fundamental philosophical errors or investigate the new avenues of research that have opened up by exposing them; he suggests that no one else should fuss over such things either. This paper was written for fussier philosophers. [] *My thanks to the referees and editors at Philosophia for publishing this corrective when Phil Studies would not. []. (shrink)