This is a transcript of a conversation between P F Strawson and Gareth Evans in 1973, filmed for The Open University. Under the title 'Truth', Strawson and Evans discuss the question as to whether the distinction between genuinely fact-stating uses of language and other uses can be grounded on a theory of truth, especially a 'thin' notion of truth in the tradition of F P Ramsey.

Eugenicists at the beginning of the twentieth century feared that the "unfit" were outbreeding the "fit" and promoted interventions like sterilisation as a solution to the perceived problem. Over 60,000 people were sterilised across the United States, victims of eugenic programs implemented in 32 states. Utah had a particularly aggressive eugenic sterilisation program, hailed by eugenicists for sterilising such a large proportion of its population, and lasting well into the 1970s. The goal of the present study was to determine who, (...) at the demographic level, was targeted by this eugenic practice in Utah, and to also estimate how many survivors of the program might still be alive in 2023. (shrink)

The theory of evolution of complex, including the humans system and algorithm for its constructing are a synthesis of evolutionary epistemology, philosophical anthropology and concrete scientific empirical basis in modern science,. In other words, natural philosophy is regaining the status bar element theoretical science in the era of technology-driven evolution. The co-evolutionary concept of 3-modal stable evolutionary strategy of Homo sapiens is developed. The concept based on the principle of evolutionary complementarity of anthropogenesis: value of evolutionary risk and evolutionary path (...) of human evolution are defined by descriptive (evolutionary efficiency) and creative-teleological (evolutionary correctly) parameters simultaneously, that cannot be instrumental reduced to others ones. Resulting volume of both parameters define the vectors of biological, social, cultural and techno-rationalistic human evolution by two gear mechanism ˗ genetic and cultural co-evolution and techno-humanitarian balance. The resultant each of them can estimated by the ratio of socio-psychological predispositions of humanization/dehumanization in mentality. Explanatory model and methodology of evaluation of creatively teleological evolutionary risk component of NBIC technological complex is proposed. Integral part of the model is evolutionary semantics (time-varying semantic code, the compliance of the biological, socio-cultural and techno-rationalist adaptive modules of human stable evolutionary strategy). (shrink)

Stable evolutionary strategy of Homo sapiens (SESH) is built in accordance with the modular and hierarchical principle and consists of the same type of self-replicating elements, i.e. is a system of systems. On the top level of the organization of SESH is the superposition of genetic, social, cultural and techno-rationalistic complexes. The components of this triad differ in the mechanism of cycles of generation - replication - transmission - fixing/elimination of adoptively relevant information. This mechanism is implemented either in accordance (...) with the Darwin-Weismann modus, or according to the Lamarck modus, the difference between them is clear from the title. The integral attribute of the system of systems including ESSH is the production of evolutionary risks. The sources of evolutionary risk for stable adaptive strategy of Homo sapiens are the imbalance of (1) the intra-genomic co-evolution (intragenomic conflicts); (2) the gene-cultural co- evolution; (3) the inter-cultural co-evolution; (4) techno-humanitarian balance; (5) inter- technological conflicts (technological traps). At least phenomenologically the components of the evolutionary risk are reversible, but in the aggregate they are in potentio irreversible destructive ones for bio-social, and cultural self-identity of Homo sapiens. When the actual evolution is the subject of a rationalist control and/or manipulation, the magnitude of the 4th and 5th components of the evolutionary risk reaches the level of existential significance. (shrink)

I've previously suggested that the historical evidence used to challenge scientific realism should lead us to embrace what I call Uniformitarianism, but many recently influential forms of scientific realism seem happy to share this commitment. I trace a number of further points of common ground that collectively constitute an appealing Middle Path between classical forms of realism and instrumentalism, and I suggest that many contemporary realists and instrumentalists have already become fellow travelers on this Middle Path without recognizing how far (...) they have thereby diverged from those who share their labels and slogans. I conclude by describing their central remaining disagreement and the sorts of evidence needed to resolve it. (shrink)

Tradução para o português do livro "Ceticismo e naturalismo: algumas variedades", Strawson, P. F. . São Leopoldo, RS: Editora da Unisinos, 2008, 114 p. Coleção: Ideias. ISBN: 9788574313214. Capítulo 1 - Ceticismo, naturalismo e argumentos transcendentais 1. Notas introdutórias; 2. Ceticismo tradicional; 3. Hume: Razão e Natureza; 4. Hume e Wittgenstein; 5. “Apenas relacionar”: O papel dos argumentos transcendentais; 6. Três citações; 7. Historicismo: e o passado.

How should we respond to the humanity of others? Should we care for others’ well-being? Respect them as autonomous agents? Largely neglected is an answer we can find in the religious traditions of Judaism, Christianity and Buddhism: we should love all. This paper argues that an ideal of love for all can be understood apart from its more typical religious contexts and moreover provides a unified and illuminating account of the the nature and grounds of morality. I defend a novel (...) account of love for all that avoids serious worries about the incoherence or impossibility of loving everyone. Doing so requires countenancing a neglected form of love. Love admits as its object not just individual entities like people and groups; we can also bear a love for the Fs in general---for all the Joneses, all the philosophers, or even all the human beings. I go on to argue that while it is possible for ordinary agents like us to love all, we shouldn't. Instead, we should approximate love for all. The minimal approximation of love for all is, surprisingly, respect; I derive the basic, structural features of deontological ethics (including anti-paternalism and anti-aggregation) from the ideal of loving all. (NB: This paper used to be titled "Ethics in the Shadow of Love" and has been cited as an unpublished manuscript under that title.). (shrink)

Our findings reveal that implementing accelerated computing can achieve substantial improvements, often reducing computation times by more than 60% compared to traditional sequential methods. This paper details the experimental setup, including algorithm selection and parallelization techniques, and discusses the role of memory bandwidth and latency in achieving optimal performance. Based on the analysis, we propose a streamlined methodology to guide the deployment of accelerated computing frameworks in various industries. Concluding with a discussion on future directions, we highlight potential advancements in (...) hardware architectures and software optimizations that could further augment computational efficiency and scalability in accelerated computing. (shrink)

Traditional encryption is safe but slows data recovery, especially for keyword searches. Secure, fine-grained access control and quick keyword searches over encrypted data are possible using attribute-based keyword search (ABKS). This study examines how ABKS might optimize search efficiency and data security in cloud storage systems. We examine index compression, query processing improvement, and encryption optimization to decrease computational cost and preserve security. After a thorough investigation, the article shows how these methods may boost cloud storage system performance, security, and (...) usability. Tests show that improved ABKS speeds up search searches and lowers storage costs, making it a viable cloud storage alternative. (shrink)

This study examines how ABKS might optimize search efficiency and data security in cloud storage systems. We examine index compression, query processing improvement, and encryption optimization to decrease computational cost and preserve security. After a thorough investigation, the article shows how these methods may boost cloud storage system performance, security, and usability. Tests show that improved ABKS speeds up search searches and lowers storage costs, making it a viable cloud storage alternative. Exploring sophisticated machine learning algorithms for predictive search improvements (...) a. (shrink)

Consumers often buy products not because of their attributes per se but rather because of the ultimate benefits that these attributes provide, in turn leading to the satisfaction of ultimate values. And Apple is a type of company which understand their customers & future aspects of innovation in a way that no other companies do. That’s the reason that apple is at No. 1 place in Top 50 Most innovative companies. This article endeavors to recognize the consumer perception towards the (...) Apple products and what is Apple’s ideology. In this article the researcher has listed down 12 variables which affect the consumer behavior most while purchasing Apple products. The researcher took 50 sample sizes to make this paper and this study is being done in Tiruchirappalli District. To prepare the factors, I have used Factor analysis test. (shrink)

Migrating legacy database applications to modern cloud-based solutions, such as Snowflake, is becoming essential for organizations aiming to leverage scalable, efficient, and cost-effective data solutions. Legacy databases, typically bound to on-premises infrastructure, often lack the flexibility required by contemporary data analytics and storage needs. Snowflake, a cloud-native data platform, provides a versatile environment that enables efficient data storage, sharing, and processing. This research examines a structured methodology for migrating legacy database applications to Snowflake, addressing key stages from initial assessment to (...) data transformation, integration, and performance optimization. A systematic, step-by-step migration process is implemented to minimize risks, reduce downtime, and ensure data integrity. (shrink)

This paper was published in an issue of the ANTW, Dutch General Journal of Philosophy, dedicated to the work of Paul Churchland. It criticizes Churchland for neglecting the relationships of animals to their environments and their innate subjectivity, which guides them through their environment. The concept of an emotional a priori is introduced, 'the innate structures of experience', analogue to Kant's cognitive a priori. Subjectivity is an evolved property which enables organisms to adapt their genetic interests to a particular environment.

The performance of the deep learning models is evaluated using metrics such as accuracy and error rate. Accuracy measures how well the models are able to reconstruct the facial features compared to the original images, while the error rate indicates the frequency of incorrect reconstructions. By quantifying these metrics, the project can assess the effectiveness of each algorithm in reconstructing distorted faces. The accuracy levels of VGG19 and 3D CNN are compared using the performance metrics.

Pekakak adalah salah satu tokoh yang memiliki pengetahuan mendalam dan perencanaan yang cermat. Saat fajar menyingsing, ia terlihat bertengger di atas pohon. Dengan kemampuan sempurna untuk mengontrol kecepatan penerbangan miliknya, seperti kapan harus memperlambat atau mempercepat, dia dapat dengan mudah menghitung cara optimal untuk menangkap ikan.

I argue that Kripke’s construal of the distinction between speaker’s reference and semantic reference, in ‘Speaker’s reference and semantic reference’ (Kripke in Midwest Stud Philos 2:255–276, 1977), in conjunction with an intuitive view of the nature of conventions, implies a theory of semantic reference that is distinct from his causal theory. On this theory, semantic reference is conventionalized speaker’s reference. The argument concerning Kripke has two general implications. First, any theory that features a notion of speaker’s reference will have great (...) difficulty in avoiding the view that semantic reference is conventionalized speaker’s reference. Second, theories that deny that there is a viable notion of speaker’s reference, and thereby deny that semantic reference is conventionalized speaker’s reference, will face an uphill battle in meeting certain general constraints originating in the theory of conventions. (shrink)

By embracing AI-driven HR analytics, organizations can anticipate market shifts, prepare their workforce for future challenges, and stay ahead of the competition. This study outlines the essential components of AI-driven HR analytics, demonstrates its impact on workforce agility, and concludes with potential future enhancements to further optimize HR functions. Key words: Predictive Workforce Analytics, Talent Optimization, Machine Learning in.

The world's leading cause of morbidity and death is cardiovascular diseases (CVD), which makes early detection essential for successful treatments. This study investigates how optimization techniques can be used with machine learning (ML) algorithms to forecast cardiovascular illnesses more accurately. ML models can evaluate enormous datasets by utilizing data-driven techniques, finding trends and risk factors that conventional methods can miss. In order to increase prediction accuracy, this study focuses on adopting different machine learning algorithms, including Decision Trees, Random Forest, Support (...) Vector Machines, and Neural Networks, that have been tuned using strategies including hyper parameter selection, crossvalidation, and feature selection. (shrink)

The Genetic Ranking Optimization Algorithm (GROA) is used to rank phishing content based on multiple features by optimizing the ranking system through iterative selection and weighting. Dynamic weighting further enhances the process by adjusting the weights of features based on their importance in real-time. This hybrid approach enables the model to learn from the data, improving classification over time.

The sample size of the study was conducted in Tiruchirappalli city with 75 respondents through Non-Probability Random Sampling Method. The tools and techniques used were simple percentage, chi-square and ANOVA. The obtained result of the study that majority of the women prefer TVS Scooty and most of the respondents prefer two wheelers due to convenient while driving and majority of the respondents have great impact on colour and model prefer the vehicle. New inventions and designs were introduced to meet the (...) requirements of the current day affaires. (shrink)

Cloud storage's scalability, accessibility, and affordability have made it essential in the digital age. Data security and privacy remain a major issue due to the large volume of sensitive data kept on cloud services. Traditional encryption is safe but slows data recovery, especially for keyword searches. Secure, fine-grained access control and quick keyword searches over encrypted data are possible using attribute-based keyword search (ABKS). This study examines how ABKS might optimize search efficiency and data security in cloud storage systems. We (...) examine index compression, query processing improvement, and encryption optimization to decrease computational cost and preserve security. (shrink)

Modern-day societies seem to be dominated by a hedonistic approach to happiness. A less short-term and more process-based definition of happiness - eudaimonism - has been proposed by Aristotle. Can this definition of happiness exist in consumer societies as proposed by Zygmunt Bauman and how can we begin to explore such a question? This essay will provide a comparison between two ideal types: eudaimonism and consumer society. With this comparison, we hope to provide a conceptual framework for further research within (...) this subject. (shrink)

This research proposes a novel Smart Deduplication Framework (SDF) designed to identify and eliminate redundant data, thus optimizing storage usage and improving data retrieval speeds. The framework leverages a hybrid cloud architecture, combining the scalability of public clouds with the security of private clouds. By employing a combination of client-side hashing, metadata indexing, and machine learning-based duplicate detection, the framework achieves significant storage savings without compromising data integrity. Real-time testing on a hybrid cloud setup demonstrated a 65% reduction in storage (...) needs and a 40% improvement in data retrieval times. Additionally, the system employs blockchain for immutable logging of deduplication activities, enhancing transparency and traceability. This study concludes with an evaluation of the deduplication framework's impact on cost efficiency, system performance, and potential scalability. Future enhancements aim to integrate multi-cloud interoperability and advanced compression algorithms to further refine storage management. (shrink)

With the proliferation of sophisticated cyber threats, traditional malware detection techniques are becoming inadequate to ensure robust cybersecurity. This study explores the integration of deep learning (DL) techniques into malware detection systems to enhance their accuracy, scalability, and adaptability. By leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, this research presents an intelligent malware detection framework capable of identifying both known and zero-day threats. The methodology involves feature extraction from static, dynamic, and hybrid malware datasets, followed by (...) training DL models to classify malicious and benign software with high precision. A robust experimental setup evaluates the framework using benchmark malware datasets, yielding a 96% detection accuracy and demonstrating resilience against adversarial attacks. Real-time analysis capabilities further improve response times, reducing the risk of potential damage. The study also incorporates visualization tools to provide interpretable insights into model decisions, enhancing transparency for cybersecurity practitioners. Concluding with a discussion on the challenges and future prospects, this research paves the way for scalable, AI-driven solutions to combat evolving cyber threats. (shrink)

Morphological and morphometric study of umbilical cord of 50 newborn babies were carried out during January to December 1998 at Bangabandhu Sheikh Mujib Medical University, Dhaka to expand the knowledge of gross anatomy of the umbilical cord of Bangladesh. The length of the cords irrespective of sex was ranged from 28 to 93 cm with a mean (±SD) of 55.6 (±10.78).The length of the umbilical cord of male was significantly longer than female (P<0.001). The diameter of the cord irrespective of (...) sex varied from 1 to 1.9 cm with a mean (±SD) of 1.45 +0.31 cm. The mean circumference length percentage ratio index of umbilical cord was 8.31. Thirty-three (66%) cords were inserted eccentrically, all being paracentral in position. The rest were inserted centrally. False knots were more frequent (47; 94%). Only one (2%) showed a true knot in addition of false knot. In 2(4%) cases cord had not any true or false knot. It is concluded that the gross morphological and morphometrical features of the umbilical cord in Bangladesh appear to be similar to those described in western literature. -/- . (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)

The Caesar problem arises for abstractionist views, which seek to secure reference for terms such as ‘the number of Xs’ or #X by stipulating the content of ‘unmixed’ identity contexts like ‘#X = #Y’. Frege objects that this stipulation says nothing about ‘mixed’ contexts such as ‘# X = Julius Caesar’. This article defends a neglected response to the Caesar problem: the content of mixed contexts is just as open to stipulation as that of unmixed contexts.

The scope of the project encompasses the design, development, and implementation of AI-driven functionalities such as interest assessment, skill analysis, resume building, and personalized recommendations. The methodology involves data collection through user inputs, preprocessing of data for analysis, and the creation of a robust system architecture comprising frontend interfaces, backend servers, and database management. The implementation of the application involves a comprehensive technology stack, including Python for AI algorithms, TensorFlow for ML models, React.js for front end development, Flask for backend (...) services, and PostgreSQL for database management. (shrink)

What does being money consist in? We argue that something is money if, and only if, it is typically acquired in order to realise the reduction in transaction costs that accrues in virtue of agents coordinating on acquiring the same thing when deciding what thing to acquire in order to exchange. What kinds of things can be money? We argue against the common view that a variety of things (notes, coins, gold, cigarettes, etc.) can be money. All monetary systems are (...) best interpreted as implementing the same basic protocol. Money, i.e. the thing that we coordinate on acquiring in order to lower our transaction costs, is, in all cases, a set of positions on an abstract mathematical object, namely a relative ratio scale. The things that we ordinarily call ‘money’ are merely records of positions on such a scale. (shrink)

I consider Ralph Waldo Emerson’s creative appropriation of a philosophical doctrine that helps to make sense of an attitude towards life, its gifts and its burdens, that is often expressed in Puritan diaries. The doctrine, now known as the doctrine of continuous creation, holds that in conserving the world, God re-creates it at every moment, making the same creative effort at each ever-advancing now that God made at the very beginning. Continuous creation was explicitly endorsed by at least one Puritan (...) diarist, Jonathan Edwards, and it helps to explain the intense self-inspection and valiant response to life to which other Puritan diarists (including Emerson's aunt, Mary Moody Emerson) testify. Continuous creation was an important ingredient in the idealism of Edwards and, once translated, it became an important ingredient in the idealism of Emerson. My primary aim to describe Emerson’s creative translation of the doctrine as Edwards understood it, but I also discuss Emerson's relation to the Puritan diary, considered as a literary form. I close by suggesting that for us, a version of the doctrine of continuous creation can perhaps be a source of optimism and an incentive to action, as I believe it was for Emerson. I also comment briefly on Emerson's grateful reliance on text-to-text translations. When Emerson studied translations of sacred texts from around the world, what he heard was not difference and dissent, but agreement: agreement on the very points that united him with Edwards, different as they were in other ways. (shrink)

Kripke (1977) views Donnellan's (1966) misdescription cases as cases where semantic reference and speaker's reference come apart. Such cases, however, are also cases where semantic reference conflicts with a distinct species of reference I call "public reference", i.e. the object that the cues publicly available at the time of utterance indicate is the speaker's referent of the utterance. This raises the question: do the misdescription cases trade on the distinction between semantic reference and speaker's reference, or the distinction between semantic (...) reference and public reference? I argue that Kripke's own construal in terms of semantic reference and speaker's reference is at best incomplete, and probably wrong. I also explain the general importance of the notion of 'public reference'. (shrink)

Rule-Consequentialism faces “the problem of partial acceptance”: How should the ideal code be selected given the possibility that its rules may not be universally accepted? A new contender, “Calculated Rates” Rule-Consequentialism claims to solve this problem. However, I argue that Calculated Rates merely relocates the partial acceptance question. Nevertheless, there is a significant lesson from this failure of Calculated Rates. Rule-Consequentialism’s problem of partial acceptance is more helpfully understood as an instance of the broader problem of selecting the ideal code (...) given various assumptions—assumptions about who will accept and comply with the rules, but also about how the rules will be taught and enforced, and how similar the future will be. Previous rich discussions about partial acceptance provide a taxonomy and groundwork for formulating the best version of Rule-Consequentialism. (shrink)

The problem considered in this chapter emerges from the tension we find when looking at the design and architecture of chatbots on the one hand and their conversational aptitude on the other. In the way that LLM chatbots are designed and built, we have good reason to suppose they don't possess second-order capacities such as intention, belief or knowledge. Yet theories of conversation make great use of second-order capacities of speakers and their audiences to explain how aspects of interaction succeed. (...) As we can all bear witness to now though, at the point of use chatbots appear capable of performing language tasks at a level close to that of humans. This creates a tension when we consider something like, for example, the classic Gricean theory of implicature. On a broad summary of this type of account, to utter p and implicate q requires the reflexive occurrence of an audience supposing a speaker believes that q, and the speaker believing that their audience can determine they believe it when they utter p. So taken at face value, if a chatbot doesn’t have the capacity for belief, then either in their role as speaker or audience, they would not seem capable of either generating or comprehending implicatures. Yet on the surface it does seem that chatbots are capable of dealing with (some) implicatures, and as such it raises questions about how we should then correlate this with what we think occurs in cases of implicature with chatbots. (shrink)

Joseph Almog pointed out that Kripkean causal chains not only exist for names, but for all linguistic items (Almog 1984: 482). Based on this, he argues that the role of such chains is the presemantic one of assigning a linguistic meaning to the use of a name (1984: 484). This view is consistent with any number of theories about what such a linguistic meaning could be, and hence with very different views about the semantic reference of names. He concludes that (...) the causal theory is ‘rather trivial’ (1984: 487). In this paper I argue that Almog is correct to hold that the causal theory is trivial, but, contra Almog, argue that the triviality of the existence of causal chains is not a matter of such chains having a presemantic role in assigning linguistic meanings to utterances. Instead, such triviality is due to the fact that the causal theory reflects no more than a truism about the epistemology of convention acquisition. (shrink)

The conventional notion of a formal system is adapted to conform to the sound deductive inference model operating on finite strings. Finite strings stipulated to have the semantic value of Boolean true provide the sound deductive premises. Truth preserving finite string transformation rules provide the valid deductive inference. Sound deductive conclusions are the result of these finite string transformation rules.

Pada musim semi, entah kenapa, tidak banyak ikan. Karena tangkapannya sangat tidak stabil, Pekakak mulai berpikir. Lalu membuat beberapa rencana. Dengan otoritas komandonya, dia memanggil Bangau: – Ini adalah musim penangkapan ikan yang sangat sulit. Jika kita ingin kenyang, kita harus membuat usaha patungan. Bangau mengangguk, menambahkan: - Saya setuju; mari kita beternak ikan kakap putih dan ikan mas krusia. Jenis ini berumur panjang dan sangat produktif. Pekakak dan Bangau sepakat untuk berbagi tugas beternak, dan tidak ada diskriminasi yang diizinkan. (...) Namun imbalannya berbeda: Pekakak bertanggung jawab untuk ikan kakap putih dan, dengan demikian, dapat memiliki lebih banyak ikan kakap putih, sedangkan Bangau mendapat ikan mas krusia. Siapapun yang memelihara ikan mana yang lebih banyak akan menikmati 80% dari panen akhir ikan tersebut. Keduanya akan mengevaluasi dan membagi produk ternak pada akhir musim beternak. Ini berarti mengantongi sendiri ikan hasil usaha patungan untuk diri sendiri itu dilarang. (shrink)

Suatu pagi di musim panas, desa burung diselimuti keheningan. Semua orang sibuk mendengarkan pengembara baru. Burung pengembara ini berasal dari keluarga yang tidak jelas; bulunya berwarna-warni, gerak-geriknya lucu, dan ilmunya baru. Dia bercerita seolah-olah sedang memberi ceramah, tepat sekali, warga desa memanggilnya burung Guru – orang yang menjawab setiap pertanyaan aneh warga desa yang rajin belajar. Burung pelatuk telah belajar menangkap cacing di sore hari, sehingga mereka tidak perlu bangun pagi. Burung pipit sekarang tahu cara mencuri beras dari gudang saat (...) sawah mulai kering. Bulbul, sementara itu, telah mengambil kesempatan berkumpul untuk memamerkan kecantikan dan fashion mereka… . (shrink)

Pekakak selama ini tinggal di gua galiannya sendiri di tepi kolam, tapi sekarang dia memutuskan bahwa dia membutuhkan rumah baru. Dia melakukan tur keliling desa untuk melihat bagaimana burung-burung lain membangun rumah mereka. Dia mengunjungi Tuan Pipit, yang tinggal di pohon pinus yang bersiul. Bagian depan bangunannya tampak indah, dan lokasinya yang tinggi memberikan ventilasi yang baik. Tapi, semakin lama dia menginap, dia jadi semakin pusing. Hembusan angin apa pun yang menerpa membuat seluruh struktur bangunan bergetar seolah-olah akan hancur berantakan.

Some scientific categories seem to correspond to genuine features of the world and are indispensable for successful science in some domain; in short, they are natural kinds. This book gives a general account of what it is to be a natural kind and puts the account to work illuminating numerous specific examples.

Rules serve many important functions in society. One such function is to codify, and make public and enforceable, a society's desired prescriptions and proscriptions. This codification means that rules come with predefined punishments administered by third parties. We argue that when we look at how third parties punish rule violations, we see that rules and their punishments often serve dual functions. They support and help to maintain cooperation as it is usually theorized, but they also facilitate the domination of marginalized (...) others. We begin by reviewing literature on rules and third-party punishment, arguing that a great deal of punishment research has neglected to consider the unique power of codified rules. We also argue that by focusing on codified rules, it becomes clear that the enforcement of such rules via third-party punishment is often used to exert control, punish retributively, and oppress outgroup members. By challenging idealized theory of rules as facilitators of social harmony, we highlight their role in satisfying personal punishment motives, and facilitating discrimination in a way that is uniquely justifiable to those who enforce them. (shrink)

A philosopher once wrote the following words:If I examine the PTOLOMAIC and COPERNICAN systems, I endeavour only, by my enquiries, to know the real situation of the planets; that is, in other words, I endeavour to give them, in my conception, the same relations, that they bear towards each other in the heavens. To this operation of the mind, therefore, there seems to be always a real, though often an unknown standard, in the nature of things; nor is truth or (...) falsehood variable by the various apprehensions of mankind. Though all human race should for ever conclude, that the sun moves, and the earth remains at rest, the sun stirs not an inch from his place for all these reasonings; and such conclusions are eternally false and erroneous. (shrink)

Names like ‘Neptune’ and ‘Vulcan’ have lead some Millians to countenance a class of descriptive names. This is so, as, first, the closeness of the association between a descriptive name and its associated descriptive condition seems to show that the link between the name and the description must be semantic, and, second, as Millianism implies that names without bearers make no direct contribution to the propositions expressed by the sentences in which such names occur. In this paper we use the (...) notion of an object-dependent convention to offer a novel motivation for Millianism. We then show that our way of motivating Millianism implies that the above two reasons for treating names like ‘Neptune’ and ‘Vulcan’ as descriptive have little force. (shrink)

The no-miracles argument and the pessimistic induction are arguably the main considerations for and against scientific realism. Recently these arguments have been accused of embodying a familiar, seductive fallacy. In each case, we are tricked by a base rate fallacy, one much-discussed in the psychological literature. In this paper we consider this accusation and use it as an explanation for why the two most prominent `wholesale' arguments in the literature seem irresolvable. Framed probabilistically, we can see very clearly why realists (...) and anti-realists have been talking past one another. We then formulate a dilemma for advocates of either argument, answer potential objections to our criticism, discuss what remains (if anything) of these two major arguments, and then speculate about a future philosophy of science freed from these two arguments. In so doing, we connect the point about base rates to the wholesale/retail distinction; we believe it hints at an answer of how to distinguish profitable from unprofitable realism debates. In short, we offer a probabilistic analysis of the feeling of ennui afflicting contemporary philosophy of science. (shrink)

Searle claims that his theory of institutional reality is particularly suitable as a theoretical scheme of individuation for work in the social sciences. We argue that this is not the case. The first problem with regulatory individuation is due to the familiar fact that institutional judgments have constrained revisability criteria. The second problem with regulatory individuation is due to the fact that institutions amend their declarative judgments based on the inferential (syntactic) properties of the judgments and in response to regulatory (...) pressure, and not based on descriptive (semantic) properties and in response to matters of descriptive adequacy. These two problems imply that ‘regulatory kinds' (countries, borders, kings) will almost inevitably be disjunctive kinds that are ill-suited for scientific theorizing. This also explains why the law often makes odd pronouncements, e.g. calling ketchup a vegetable, considering an arm bent fifteen degrees to be straight, and not admitting that Somaliland is a country. (shrink)

The routing process then prioritizes nodes with higher energy levels, reducing premature node failure. A novel energy-aware transmission algorithm ensures that data packets are transmitted over the most energy-efficient paths, thus extending the overall network longevity. Simulation results demonstrate that the proposed protocol achieves significant improvements in energy consumption, data transmission reliability, and network lifetime compared to traditional methods. The conclusion discusses the potential future enhancements, including adaptive algorithms that can further reduce energy consumption in large-scale UWSNs.

Basing itself on the universality of the Buddhist ethic, this book manifests much learning on the part of the author as acquired from many a complementary branch of study including history, philosophy, and, above all, jurisprudence. Celebrating both Eastern and Western thought, parallels are convincingly drawn between contributions made by such seemingly incomparable personalities as the Buddha and Greek philosophers and King Aśoka and John Rawls. The viability of a body of common jurisprudence having both municipal and international application, as (...) founded upon the universal truths of the ‘Dhamma,’ is herein seen firmly established, ultimately dispelling all doubts hitherto cast upon the legal worth of Buddhism. (shrink)

There is a simple, intuitive theory of the semantic reference of proper names that has been unjustly neglected. This is the view that semantic reference is conventionalized speakers reference, i.e. the view that a name semantically refers to an object if, and only if, there exists a convention to use the name to speaker-refer to that object. The theory can be found in works dealing primarily with other issues (e.g. Stine in Philos Stud 33:319–337, 1977; Schiffer in Erkenntnis 13:171–206, 1978; (...) Sainsbury in Erkenntnis 80:195–214, 2015; Sainsbury, Thinking about things, Oxford University Press, 2018), yet these authors provide no sustained discussion of it. Devitt (Designation, Columbia University Press, 1981) did formulate a view on which semantic reference is conventionalized speaker’s reference, yet his views are assimilated to causalist views. This is a mistake. While the conventionalized speaker’s reference view captures much of what is plausible in descriptivism and causalism, it remains distinct from both. (shrink)

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. The results indicate that the deep learning model achieves a classification accuracy of over 95% for most plant diseases. Additionally, the (...) system is designed to provide real-time feedback to farmers, helping them take immediate corrective action. This automated approach eliminates the need for expert human intervention and can be deployed on mobile devices for ease of use in rural areas. The potential future applications of this system include integration with precision agriculture techniques and expansion to a wider range of crops. (shrink)