The aim of this paper is to outline Dorothy Emmet's (1904–2000) account of perception in The Nature of Metaphysical Thinking (published in 1945). Emmet's account of perception is part of a wider attempt to rehabilitate metaphysics in the face of logical positivism and verificationism (of the kind espoused most famously by A. J. Ayer). It is thus part of an attempt to stem the tide of anti-metaphysical thought that had become widespread in British philosophy by the middle (...) of the twentieth century. Emmet does not fit neatly into the traditional story of twentieth-century British philosophy. She draws on figures like A. N. Whitehead and Henri Bergson much more extensively than figures like Russell or Moore – and thus straddles the so-called ‘analytic-continental divide.’ My aim in this paper is to put Emmet on the map of twentieth-century British thought by outlining her philosophy of perception, highlighting her proposals for a way forward for metaphysics in a time of crisis, and identifying the ways she preempts movements in contemporary philosophy of perception. (shrink)

A review of *The Social Origins of Language* by Robert M. Seyfarth and Dorothy L. Cheney; edited and introduced by Michael L. Platt.

Over the past fifteen years there has been a considerable amount of debate concerning what theoretical population dynamic models tell us about the nature of natural selection and drift. On the causal interpretation, these models describe the causes of population change. On the statistical interpretation, the models of population dynamics models specify statistical parameters that explain, predict, and quantify changes in population structure, without identifying the causes of those changes. Selection and drift are part of a statistical description of population (...) change; they are not discrete, apportionable causes. Our objective here is to provide a definitive statement of the statistical position, so as to allay some confusions in the current literature. We outline four commitments that are central to statisticalism. They are: 1. Natural Selection is a higher order effect; 2. Trait fitness is primitive; 3. Modern Synthesis (MS)-models are substrate neutral; 4. MS-selection and drift are model-relative. (shrink)

I propose and articulate a novel theory of desire, called the Revised Reward Theory. As the name suggests, the theory is based—and expands—on Arpaly and Schroeder’s (2014) Reward Theory of Desire. The initial Reward Theory identifies desires with states of the reward learning system such that for an organism to desire some P is for its reward system to treat P as a reward upon receipt. The Revised Reward Theory identifies desires with a different state of the same system, such (...) that for an organism to desire some P is for its reward system to expect or predict that P will be rewarding (roughly) prior to receipt. The difference amounts to equating desires with what we ultimately find rewarding or satisfying versus those that underlie our motivations to obtain that which we take ourselves to desire. I argue that the structure of the reward system is incompatible with the original Reward Theory but compatible with the Revised Reward Theory. I demonstrate that this difference has important philosophical implications. I focus on moral responsibility and demonstrate Arpaly and Schroeder’s argument, that addiction can mitigate moral responsibility, turns on this precise difference. Arpaly, Schroeder, and I all ascribe to a meta-theory called ‘natural kindism’ which identifies mental kinds with neurocognitive kinds. This discussion, in addition to defending a theory of desire, is intended to act as a proof of concept for natural kindism as offering a powerful framework for relating empirical results to philosophical issues. (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)

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.

[COMMENTARY on Walter Veit's "A Philosophy for the Science of Animal Consciousness"] The framework Veit introduces for animal consciousness turns on finding and articulating its evolutionary origins. Veit argues that consciousness first evolved as affective experience in the Cambrian period. His argument centers around the plausible need of organisms in the Cambrian for a common currency of subjective valuation. I argue that such an adaptive pressure is unlikely to result in affective experience. I review other processes that instantiate common currencies (...) of subjective valuation: unconscious (non-experiential) affect and the reward learning system and argue that each is likely to have evolved prior to affective experience. (shrink)

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)

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)

In this chapter, Dorothy Walsh argues that any ethical theory requires an underlying speculative metaphysics.

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)

Cognitive categories in the geographic realm appear to manifest certain special features as contrasted with categories for objects at surveyable scales. We have argued that these features reflect specific ontological characteristics of geographic objects. This paper presents hypotheses as to the nature of the features mentioned, reviews previous empirical work on geographic categories, and presents the results of pilot experiments that used English-speaking subjects to test our hypotheses. Our experiments show geographic categories to be similar to their non-geographic counterparts in (...) the ways in which they generate instances of different relative frequencies at different levels. Other tests, however, provide preliminary evidence for the existence of important differences in subjects’ categorizations of geographic and non-geographic objects, and suggest further experimental work especially with regard to the role in cognitive categorization of different types of object-boundaries at different scales. (shrink)

Cognitive categories in the geographic realm appear to manifest certain special features as contrasted with categories for objects at surveyable scales. We have argued that these features reflect specific ontological characteristics of geographic objects. This paper presents hypotheses as to the nature of the features mentioned, reviews previous empirical work on geographic categories, and presents the results of pilot experiments that used English-speaking subjects to test our hypotheses. Our experiments show geographic categories to be similar to their non-geographic counterparts in (...) the ways in which they generate instances of different relative frequencies at different levels. Other tests, however, provide preliminary evidence for the existence of important differences in subjects’ categorizations of geographic and non-geographic objects, and suggest further experimental work especially with regard to the role in cognitive categorization of different types of object-boundaries at different scales. (shrink)

A curious and comparatively neglected element of death penalty jurisprudence in America is my target in this paper. That element concerns the circumstances under which severely mentally disabled persons, incarcerated on death row, may have their sentences carried out. Those circumstances are expressed in a part of the law which turns out to be indefensible. This legal doctrine—competence-for-execution —holds that a condemned, death-row inmate may not be killed if, at the time of his scheduled execution, he lacks an awareness of (...) his impending death or the reasons for it. I argue that the law of CFE should be abandoned, along with the notion that it is permissible to kill the deeply disturbed just so long as they meet some narrow test of readiness to die. By adopting CFE, the courts have been forced to give independent conceptual and moral significance to a standard for competence that simply cannot bear the weight placed upon it. To be executable, CFE requires that a condemned prisoner meet a standard demonstrating an awareness of certain facts about his death. Yet this standard both leads to confusing and counter-intuitive results and is unsupported either by the reasons advanced by the courts on its behalf or by any of the standard theoretical justifications of criminal punishment. If executing the profoundly psychotic or delusional is wrong the law needs a better account of the wrong done when prisoners like Ford are killed. I suggest wherein that wrong might be located. (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)

Abstract: The rapid advancement of artificial intelligence (AI) has catalyzed significant developments in autonomous systems, which are increasingly shaping diverse sectors including transportation, robotics, and industrial automation. This paper explores the evolution of AI technologies that underpin these autonomous systems, focusing on their capabilities, applications, and the challenges they present. Key areas of discussion include the technological innovations driving autonomy, such as machine learning algorithms and sensor integration, and the practical implementations observed in autonomous vehicles, drones, and robotic systems. Additionally, (...) the paper addresses critical challenges including safety, ethical concerns, and regulatory issues that influence the deployment and acceptance of autonomous technologies. By examining current trends and future prospects, this research aims to provide a comprehensive overview of how AI is transforming the landscape of autonomous systems and to identify key areas for future research and development. (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)

Toleration is one of many responses toward diversity and difference. With the growing diversity, the theme of toleration has often taken center stage in discussions of multiculturalism and social pluralism. Nonetheless, it has not received much attention in the social work profession. Social workers often encounter situations in which they face a choice between tolerating and not tolerating. We argue that toleration is a legitimate and relevant topic in social work discourse. To make this point, first, this paper discusses different (...) conceptions of toleration. Then, it demonstrates its relevance to social work and explores a potential benefit of including the idea of toleration in social work discourse. Social work code of ethics implicitly supports toleration, or at least respect-toleration and esteem-toleration. Incorporating toleration in social work discourse may help social workers to better cope with or reduce ethical stress and disjuncture. (shrink)

Objective: There are benefits and risks of giving patients more granular control of their personal health information in electronic health record (EHR) systems. When designing EHR systems and policies, informaticists and system developers must balance these benefits and risks. Ethical considerations should be an explicit part of this balancing. Our objective was to develop a structured ethics framework to accomplish this. -/- Methods: We reviewed existing literature on the ethical and policy issues, developed an ethics framework called a “Points to (...) Consider” (P2C) document, and convened a national expert panel to review and critique the P2C. -/- Results: We developed the P2C to aid informaticists designing an advanced query tool for an electronic health record (EHR) system in Indianapolis. The P2C consists of six questions (“Points”) that frame important ethical issues, apply accepted principles of bioethics and Fair Information Practices, comment on how questions might be answered, and address implications for patient care. -/- Discussion: The P2C is intended to clarify whatis at stake when designers try to accommodate potentially competing ethical commitments and logistical realities. The P2C was developed to guide informaticists who were designing a query tool in an existing EHR that would permit patient granular control. While consideration of ethical issues is coming to the forefront of medical informatics design and development practices, more reflection is needed to facilitate optimal collaboration between designers and ethicists. This report contributes to that discussion. (shrink)

Introduction and translation of “The Four Phases of Philosophy” by Franz Brentano.

Accelerated computing leverages specialized hardware and software techniques to optimize the performance of computationally intensive tasks, offering significant speed-ups in scientific, engineering, and data-driven fields. This paper presents a comprehensive study examining the role of accelerated computing in enhancing processing capabilities and reducing execution times in diverse applications. Using a custom-designed experimental framework, we evaluated different methodologies for parallelization, GPU acceleration, and CPU-GPU coordination. The aim was to assess how various factors, such as data size, computational complexity, and task concurrency, (...) impact processing efficiency. (shrink)

This paper provides a comprehensive workflow for organizations considering a move from legacy database systems to Snowflake, demonstrating how a structured migration process can result in enhanced data accessibility, operational flexibility, and long-term scalability. Future directions for research are also discussed, including integration with advanced analytics and machine learning applications, which could further augment Snowflake’s utility in big data ecosystems.

This paper provides a comprehensive workflow for organizations considering a move from legacy database systems to Snowflake, demonstrating how a structured migration process can result in enhanced data accessibility, operational flexibility, and long-term scalability. Future directions for research are also discussed, including integration with advanced analytics and machine learning applications, which could further augment Snowflake’s utility in big data ecosystems.

In “The Zygote Argument is Invalid: Now What?” (2015), Kristin Mickelson published an objection to the Zygote Argument that she first presented in 2012 as workshop comments on a draft of Mele's "Manipulation, Moral Responsibility, and Bullet-Biting" (2013). Assuming that the phrase "determinism precludes free will" means something like determinism-related causal factors are what prevent people from acting freely when determinism is true, Mele's original Zygote Argument was invalid. At the workshop, Mickelson presented Mele with two options to address the (...) problem, a premise-preserving option and a conclusion-preserving option. That is, Mele could change the conclusion of the original argument to the negative, non-explanatory thesis entailed by its original two premises, or find a way to add premises that would support the positive, explanatory conclusion of the original argument (which, notably, is the conclusion that Pereboom supports using best-explanation reasoning in his Four-Case Argument). Mickelson used this as an opportunity to explain the key contribution that best-explanation reasoning makes to manipulation arguments -- and why the best variant of the manipulation argument might conclude that incompatibilism is FALSE. In response to Mickelson's objection, Mele changed the conclusion of the argument before "Manipulation, Moral Responsibility, and Bullet-Biting" went to print, choosing Mickelson's proposal to change its conclusion over the suggestion to change its premises. However, Mele failed to mention Mickelson's invalidity objection in print and that he changed the conclusion of his argument as a direct response to it; nor did Mele mention the costs that Mickelson outlined for the premise-preserving solution that he adopted or the benefits of a conclusion-preserving solution. At the same time, Mele began using the term 'incompatibilism' to pick out the negative, non-explanatory claim supported by the newly revised Zygote Argument--and also started to claim (without providing evidence) that those who use the term 'incompatibilism' to denote the explanatory claim deterministic causal factors *make it the case* that no one acts freely when determinism is true" is guilty of using the term in a nonstandard and nontraditional way that he had "never had any use for"--failing to mention that he clearly used the term in this explanatory sense in his 2005 critique of the Four-Case Argument, which is to be expected give that Derk Pereboom uses the explanatory definition (as do Kadri Vihvelin, Carolina Sartorio, and *most* other contributors to the free-will literature). In THIS reply essay, Mickelson responds to an attempt by Gabriel De Marco (FSU, advisor Alfred Mele) to defend the original Zygote Argument from Mickelson's 2012/2015 critique. Unfortunately, both of De Marco's proposed "solutions" are non-starters. The first is a non-starter because De Marco merely repeats the premise-preserving solution that Mickelson offered to Mele in 2012 and that Mele adopted in print in 2013. In other words, De Marco took credit for the premise-preserving solution to the invalidity objection that Mickelson developed (although he does *redescribe* Mickelson's solution in his own idiosyncratic jargon) and Mele had already adopted in print. De Marco's second solution is a non-starter because it is constituted by a patently invalid argument. Contrary to De Marco's proposal, it's not true that the conjunction of possibilism and incompossibilism deductively entails the positive, diagnostic claim that deterministic causal factors beyond one's control preclude (destroy, undermine, is antagonistically relevant to) free will when determinism is true. *My thanks to the editors of Philosophia for publishing this reply when PhilStudies would not. (shrink)

This article examines whether it is possible to uphold one form of deflationism towards metaphysics, ontological pluralism, whilst maintaining metaphysical realism. The focus therefore is on one prominent deflationist who fits the definition of an ontological pluralist, Eli Hirsch, and his self-ascription as a realist. The article argues that ontological pluralism is not amenable to the ascription of realism under some basic intuitions as to what a “realist” position is committed to. These basic intuitions include a commitment to more than (...) a stuff-ontology, and a view that realism carries with it more than a rejection of idealism. This issue is more than merely terminological. The ascription of realism is an important classification in order to understand what sorts of entities can be the truthmakers within a given theory. “Realism” is thus an important term to understand the nature of the entities that a given theory accepts into its ontology. (shrink)

This paper addresses the ontological status of the ontological categories as defended within E.J. Lowe’s four-category ontology (kinds, objects, properties/relations, and modes). I consider the arguments in Griffith (2015. “Do Ontological Categories Exist?” Metaphysica 16 (1):25–35) against Lowe’s claim that ontological categories do not exist, and argue that Griffith’s objections to Lowe do not work once we fully take advantage of ontological resources available within Lowe’s four-category ontology. I then argue that the claim that ontological categories do not exist has (...) no undesirable consequences for Lowe’s brand of realism. (shrink)

Deflationism, one of the influential philosophical doctrines of truth, holds that there is no property of truth, and that overt uses of the predicate "true" are redundant. However, the hypothetical examples used by theorists to exemplify deflationism are isolated sentences, offering little to examine what the predicate adds to meaning within context. We oppose the theory not on philosophical but on empirical grounds. We collect 7,610 occurrences of "it is true that" from 10 influential periodicals published in the United States. (...) We classify and annotate these with respect to the positions of coordinating and subordinating conjunctions that they contain. This way we investigate the contextual relationships between the proposition following "it is true that" with its surroundings. Overall, 34 different syntactical patterns are encountered. In some occurrences of "true", the predicate acts in the same manner as a performative verb does. These occurrences, having been observed in linguistically reliable media, constitute pragmatic counter-examples to deflationism. (shrink)

We investigate the application of Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and a hybrid CNN-LSTM model for forecasting air pollution levels based on historical data. Our experimental setup uses real-world air quality datasets from multiple regions, containing measurements of pollutants like PM2.5, PM10, CO, NO2, and SO2, alongside meteorological data such as temperature, humidity, and wind speed. The models are trained, validated, and tested using a split dataset, and their accuracy is evaluated using performance metrics like Mean (...) Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared. (shrink)

This essay is a critical examination of how Edmund Husserl, in his appropriation of Franz Brentano’s concept of intentionality into his phenomenology, deals with the very issues that shaped Brentano’s theory of intentionality. These issues concern the proper criterion for distinguishing mental from physical phenomena and the right explanation for the independence of the intentionality of mental phenomena from the existence or non-existence of their objects. Husserl disagrees with Brentano’s views that intentionality is the distinguishing feature of all mental phenomena (...) and that the mental status of intentional objects is what explains the said independence. The crucial concept in Husserl’s theory of intentionality is the noema of consciousness, which functions in the same way as Gottlob Frege’s sense in his theory of semantics. This essay argues that Husserl’s alternative solutions to the problems of Brentano run in conflict either with the desired rigor of his phenomenology or with the actual workings of language. (shrink)

Richness theory offers a promising axiology. In this paper, I discuss how to translate it into a deontology. To do so, I recruit the concept of moral distance from a recently developed epistemology, and construe it in terms of causal power. Finally, I apply the resulting decision-theoretic framework to the question of how best to avert ecological disaster over the next 36 years and achieve ecological harmony over the next 986.

he health of plants plays a crucial role in ensuring agricultural productivity and food security. Early detection of plant diseases can significantly reduce crop losses, leading to improved yields. This paper presents a novel approach for plant disease recognition using deep learning techniques. The proposed system automates the process of disease detection by analyzing leaf images, which are widely recognized as reliable indicators of plant health. By leveraging convolutional neural networks (CNNs), the model identifies various plant diseases with high accuracy. (...) The experimental setup includes a dataset consisting of healthy and diseased leaf images of different plant species. The dataset is preprocessed to remove noise and augmented to address the issue of class imbalance. The CNN model is then trained, validated, and tested on this dataset. (shrink)

The continuous growth of healthcare data has made it essential to develop efficient systems that not only alert healthcare providers but also visualize patient data in a comprehensible way. This study introduces a Health Alert System integrated with Report Visualization powered by Data Analytics to improve patient monitoring and alerting mechanisms. By leveraging real-time data from wearable sensors and hospital records, the system generates health alerts based on deviations from normal parameters. The proposed system combines predictive analytics and historical data (...) to flag potential emergencies before they occur. The visual analytics platform provides comprehensive reports to healthcare providers, enabling them to monitor trends, identify risk factors, and make informed decisions. (shrink)

In this paper, I discuss the Categorical Imperative as a basis for an Ethics of Belief and its application to Kant's own project in his theoretical philosophy.

Underwater Wireless Sensor Networks (UWSNs) have emerged as a critical tool for various marine applications, such as underwater surveillance, oceanographic data collection, pollution monitoring, and resource exploration. These networks consist of a group of sensor nodes deployed underwater to monitor and collect data, which are then transmitted to a surface station for analysis.

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)

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)

The article presents the interdisciplinary approach of Edwin Hutchins, analyzing his conception of distributed cognition as probably the most important and lasting contribution of anthropology to the repertoire of theoretical tools in cognitive science. At the same time, this conception resulted in one of the most interesting relationships between cognitive science and social sciences. These relationships are made possible by the assumptions of Hutchins’ conception, which directly contribute to interdisciplinary collaboration. His account of distributed cognition has enormous potential, allowing the (...) integration of research into cognitive and social processes. This is also because it breaks with methodological individualism. (shrink)

Applied ontologies have been used more and more frequently to enhance systems engineering. In this paper, we argue that adopting principles of ontological realism can increase the benefits that ontologies have already been shown to provide to the systems engineering process. Moreover, adopting Basic Formal Ontology (BFO), an ISO standard for top-level ontologies from which more domain specific ontologies are constructed, can lead to benefits in four distinct areas of systems engineering: (1) interoperability, (2) standardization, (3) testing, and (4) data (...) exploitation. Reaping these benefits in a model-based systems engineering (MBSE) context requires utilizing an ontology’s vocabulary when modeling systems and entities within those systems. If the chosen ontology abides by the principles of ontological realism, a semantic standard capable of uniting distinct domains, using BFO as a hub, can be leveraged to promote greater interoperability among systems. As interoperability and standardization increase, so does the ability to collect data during the testing and implementation of systems. These data can then be reasoned over by computational reasoners using the logical axioms within the ontology. This, in turn, generates new data that would have been impossible or too inefficient to generate without the aid of computational reasoners. (shrink)

The objectively best language is intended to refer to some metaphysically privileged language that ‘carves reality at its joints’ perfectly. That is, it is the kind of language that various ‘metaphysical deflationists’ have argued is impossible. One common line of argument amongst deflationists is that we have no means to compare languages that all express true facts about the world in such a way to decide which is ‘better’. For example, the language is physics is not objectively better than the (...) language of economics, as each language has the semantic purpose of expressing some domain of truths about the world inexpressible in the other language, and therefore neither could be ‘objectively best’. In this paper, I argue that metaphysical deflationists have failed to recognise a distinction between fine- and coarse-grained semantic purposes of languages, and that a recognition of that distinction provides us grounds to compare languages to see which is objectively best. I argue that once we recognise the distinction between fine- and coarse-grained semantic purposes, then we can see that it is relative to the coarse-grained purpose that we must compare putative objectively best ontological languages. (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)

Due to his significant role in the development of computer technology and the discipline of artificial intelligence, Alan Turing has supposedly subscribed to the theory of mind that has been greatly inspired by the power of the said technology which has eventually become the dominant framework for current researches in artificial intelligence and cognitive science, namely, computationalism or the computational theory of mind. In this essay, I challenge this supposition. In particular, I will try to show that there is no (...) evidence in Turing’s two seminal works that supports such a supposition. His 1936 paper is all about the notion of computation or computability as it applies to mathematical functions and not to the nature or workings of intelligence. On the other hand, while his 1950 work is about intelligence, it is, however, particularly concerned with the problem of whether intelligence can be attributed to computing machines and not of whether computationality can be attributed to human intelligence or to intelligence in general. (shrink)

Information may be defined as the conceptual or communicable part of the content of mental acts. The content of mental acts includes sensory data as well as concepts, particular as well as general information. An information system is an external (non-mental) system designed to store such content. Information systems afford indirect transmission of content between people, some of whom may put information into the system and others who are among those who use the system. In order for communication to happen, (...) the conceptual systems of the originators and users of the information must be sufficiently similar. A formal conceptual framework that can provide the basis for exchange of information is termed an ontology. In its most fundamental form, ontology studies the most basic constituents of reality. Traditionally, ontology seeks to reflects structures that are independent of thought and cognition. The term ontology is used more broadly in artificial intelligence and software engineering, to refer to the conceptual basis for an information system. (shrink)

We present an abstract social aggregation theorem. Society, and each individual, has a preorder that may be interpreted as expressing values or beliefs. The preorders are allowed to violate both completeness and continuity, and the population is allowed to be infinite. The preorders are only assumed to be represented by functions with values in partially ordered vector spaces, and whose product has convex range. This includes all preorders that satisfy strong independence. Any Pareto indifferent social preorder is then shown to (...) be represented by a linear transformation of the representations of the individual preorders. Further Pareto conditions on the social preorder correspond to positivity conditions on the transformation. When all the Pareto conditions hold and the population is finite, the social preorder is represented by a sum of individual preorder representations. We provide two applications. The first yields an extremely general version of Harsanyi's social aggregation theorem. The second generalizes a classic result about linear opinion pooling. (shrink)

Thật vui mừng khi thấy sự hiện diện của cuốn Mindsponge Theory (MT) trong hệ thống Harvard Library HOLLIS của Đại học Harvard.

This essay primarily disputes Dreyfus’s account of Heidegger’s critique of Husserl’s theory of intentionality. Specifically, it raises objections to the three central claims of such an account; namely: (1) that Searle’s theory of intentional action can be used as a stand-in for Husserl’s; (2) that Heidegger rejects the primordiality of the intentionality of consciousness; and (3) that Heidegger distinguishes between conscious and unconscious types of intentional actions and he privileges the latter over the former. I show the first to be (...) unwarranted owing to a lack of fundamental parallelisms between Searle’s and Husserl’s theories of intentionality. I show the second to be mistaken for failing to take into account Heidegger’s strategic handling of the concept of consciousness and for contradicting Heidegger’s concept of care as the essential meaning of Dasein’s being-in-the-world. Lastly, I show the third to be highly problematic for lacking in textual evidence and explanatory power. (shrink)

Most people do not know there are different kinds of medical studies; some are conducted on people who already have a disease or medical condition, and others are performed on healthy volunteers who want to help science find answers. No matter what sort of research you are invited to participate in, or whether you are a patient when you are asked, it’s entirely up to you whether or not to do it. This decision is important and may have many implications (...) for your health and well-being, as well as those of other patients now and in the future. Making a good decision – the right one for you – requires you to become educated about topics you may not have thought about before, some of which may be quite complicated. This chapter explains the key issues to help you make a good decision. (shrink)