The vision of natural kinds that is most common in the modern philosophy of biology, particularly with respect to the question whether species and other taxa are natural kinds, is based on a revision of the notion by Mill in A System of Logic. However, there was another conception that Whewell had previously captured well, which taxonomists have always employed, of kinds as being types that need not have necessary and sufficient characters and properties, or essences. These competing views employ (...) different approaches to scientific methodologies: Mill’s class-kinds are not formed by induction but by deduction, while Whewell’s type-kinds are inductive. More recently, phylogenetic kinds (clades, or monophyletic-kinds) are inductively projectible, and escape Mill’s strictures. Mill’s version represents a shift in the notions of kinds from the biological to the physical sciences. (shrink)

Essentialism in philosophy is the position that things, especially kinds of things, have essences, or sets of properties, that all members of the kind must have, and the combination of which only members of the kind do, in fact, have. It is usually thought to derive from classical Greek philosophy and in particular from Aristotle’s notion of “what it is to be” something. In biology, it has been claimed that pre-evolutionary views of living kinds, or as they are sometimes called, (...) “natu-ral kinds”, are essentialist. This static view of living things presumes that no tran-sition is possible in time or form between kinds, and that variation is regarded as accidental or inessential noise rather than important information about taxa. In contrast it is held that Darwinian, and post-Darwinian, biology relies upon varia-tion as important and inevitable properties of taxa, and that taxa are not, therefore, kinds but historical individuals. Recent attempts have been made to undercut this account, and to reinstitute essentialism in biological kind terms. Others argue that essentialism has not ever been a historical reality in biology and its predecessors. In this chapter, I shall outline the many meanings of the notion of essentialism in psychology and social science as well as science, and discuss pro- and anti-essentialist views, and some recent historical revisionism. It turns out that nobody was essentialist to speak of in the sense that is antievolutionary in biology, and that much confusion rests on treating the one word, “essence” as meaning a single notion when in fact there are many. I shall also discuss the philosophical implica-tions of essentialism, and what that means one way or the other for evolutionary biology. Teaching about evolution relies upon narratives of change in the ways the living world is conceived by biologists. This is a core narrative issue. (shrink)

Ever since Darwin people have worried about the sceptical implications of evolution. If our minds are products of evolution like those of other animals, why suppose that the beliefs they produce are true, rather than merely useful? We consider this problem for beliefs in three different domains: religion, morality, and commonsense and scientific claims about matters of empirical fact. We identify replies to evolutionary scepticism that work in some domains but not in others. One reply is that evolution can be (...) expected to design systems that produce true beliefs in some domain. This reply works for commonsense beliefs and can be extended to scientific beliefs. But it does not work for moral or religious beliefs. An alternative reply which has been used defend moral beliefs is that their truth does not consist in their tracking some external state of affairs. Whether or not it is successful in the case of moral beliefs, this reply is less plausible for religious beliefs. So religious beliefs emerge as particularly vulnerable to evolutionary debunking. (shrink)

Few problems in the philosophy of evolutionary biology are more widely disseminated and discussed than the charge of Darwinian evolution being a tautology. The history is long and complex, and the issues are many, and despite the problem routinely being dismissed as an introductory-level issue, based on misunderstandings of evolution, it seems that few agree on what exactly these misunderstandings consist of. In this paper, I will try to comprehensively review the history and the issues. Then, I will try to (...) present the following “solution”, or, one might say, “dissolution”, of the problem, and consider the wider implications of formal, or schematic, explanations in science: yes, the principle of natural selection is a tautology, and so what? It is a promissory note for actual, physical, explanations in particular cases, and is none the worse for that. This is not a new argument, of course, but it does point up the importance of formal schematic models in science. (shrink)

Genes are thought to have evolved from long-lived and multiply-interactive molecules in the early stages of the origins of life. However, at that stage there were no replicators, and the distinction between interactors and replicators did not yet apply. Nevertheless, the process of evolution that proceeded from initial autocatalytic hypercycles to full organisms was a Darwinian process of selection of favourable variants. We distinguish therefore between Neo-Darwinian evolution and the related Weismannian and Central Dogma divisions, on the one hand, and (...) the more generic category of Darwinian evolution on the other. We argue that Hull’s and Dawkins’ replicator/interactor distinction of entities is a sufficient, but not necessary, condition for Darwinian evolution to take place. We conceive the origin of genes as a separation between different types of molecules in a thermodynamic state space, and employ a notion of reproducers. (shrink)

Abstract Charles Darwin, in his discussions with Asa Gray and in his published works, doubted whether God could so arrange it that exactly the desired contingent events would occur to cause particular outcomes by natural selection. In this paper, I argue that even a limited or neo-Leibnizian deity could have chosen a world that satisfied some arbitrary set of goals or functions in its outcomes and thus answer Darwin's conundrum. In more general terms, this supports the consistency of natural selection (...) with providentialism, and makes “theistic evolutionism” a coherent position to hold. (shrink)

We argue that the logical outcome of the cladistics revolution in biological systematics, and the move towards rankless phylogenetic classification of nested monophyletic groups as formalized in the PhyloCode, is to eliminate the species rank along with all the others and simply name clades. We propose that the lowest level of formally named clade be the SNaRC, the Smallest Named and Registered Clade. The SNaRC is an epistemic level in the classification, not an ontic one. Naming stops at that level (...) because there is no currently acceptable evidence for clades within it, not because no smaller clades exist. Later, included clades may be named. They would then become the SNaRCs, while the original SNaRC would keep its original name. We argue that all theoretical tasks of biology, in evolution and ecology, as well as practical tasks such as conservation assessment, are better approached using this rankless phylogenetic approach. (shrink)

To naturalize religion, we must identify what religion is, and what aspects of it we are trying to explain. In this paper, religious social institutional behavior is the explanatory target, and an explanatory hypothesis based on shared primate social dominance psychology is given. The argument is that various religious features, including the high status afforded the religious, and the high status afforded to deities, are an expression of this social dominance psychology in a context for which it did not evolve: (...) high-density populations made possible by agriculture. (shrink)

It is often noted that if someone has a tertiary degree in a scientific field who promotes an anti-science-establishment, antiscience, or pseudoscience agenda, they are very often engineers, dentists, surgeons or medical practitioners. While this does not mean that all members of these professions or disciplines are antiscience, of course, the higher frequency of pseudoscience among them is indicative of what I call the “deductivist mindset” regarding science itself. Opposing this is the “inductivist mindset”, a view that has been deprecated (...) among philosophers since Popper. Roughly, the deductivist mindset tends to see problems as questions that can be resolved by deduction from known theory or principle, while the inductivist sees problems as questions to be resolved by discovery. These form cognitive poles, which nobody ever purely instantiates, but a cognitive tendency to be a deductivist may explain why some people find results that conflict with prior theoretical commitments, whether scientific or not, unacceptable. The deductivist tends to be a cognitive conservative, where the inductivist tends to be a cognitive progressive, and the conservative mindset leads to a ressentiment about modernism, and hence about certain scientific results, more often, or so I shall argue in this chapter. (shrink)

John Wilkins and Malte Ebach respond to the dismissal of classification as something we need not concern ourselves with because it is, as Ernest Rutherford suggested, mere ‘‘stamp collecting.’’ They contend that classification is neither derivative of explanation or of hypothesis-making but is necessarily prior and prerequisite to it. Classification comes first and causal explanations are dependent upon it. As such it is an important (but neglected) area of philosophical study. Wilkins and Ebach reject Norwood Russell Hanson’s thesis (...) that classification relies on observation that is theory-laden and deny the need for aetiological assumptions and historical reconstruction to justify its arrangement. What they offer instead is a significant (albeit controversial) contribution to the philosophical literature on classification, a pre-theoretic natural classification based on the observation of patterns in data of ready-made phenomena. Their notion of ready-made phenomena rests on a conception of tacit knowledge or know-how. This is evident in their distinction between strong Theory-dependence and na ̈ıve theory-dependence. Their small t-theory-dependence permits patterns of observation that facilitate know-how but does not rely on a domain-specific explanatory theory of their aetiology. Wilkins and Ebach suggest classification differs from theory building in that it is passive (whereas theory building is active). Classification is possible just because it does not require the sieve of theory to capture classes that are ‘‘handed to you by your cognitive dispositions and the data that you observe’’ (p. 18). Finding regularities sans-theory is just something we do and can do without any prior theory about the underlying causes or origins of the resultant regularities. Luke Howard’s classification of clouds serves as an exemplar of a passive, theory-free classification system and the periodic table and the DSM help to illustrate this type of non-aetiological patterning. A recurrent theme is the nature of naturalness. For Wilkins and Ebach, the conception of naturalness is not one that is based on the generation or discovery of natural kind categories popular in both the traditional metaphysics of Mill and Wittgenstein as well as updated notions within philosophy of biology such as Boyd’s Homeostatic Property Cluster kinds. Instead, Wilkins and Ebach define the naturalness of classification as the falling into hierarchical patterns, aligning the search for natural arrangement with the aim of systematics, and as something that is grounded in a cognitive task or activity. However, they leave the question of realism v. antirealism open. ‘‘In natural classification...we must have real relations no matter how we might interpret ‘real’’’ (p. 70). There is tension with regard to their ontological commitments as they vacillate between constructive, operationalist, and realist approaches. Wilkins and Ebach initially define real as that which is causal and important (pp. 70–71), and later as that which ‘‘depends in no way upon a mind or observer’’ (p. 122). This makes their claim that there was ‘‘no real theory involved [in the pre-Darwinian classifications of Jussieu and Adanson]’’ (p. 64) difficult to interpret. Cont’d……. (shrink)

The longstanding species problem in biology has a history that suggests a solution, and that history is not the received history found in many texts written by biologists or philosophers. The notion of species as the division into subordinate groups of any generic predicate was the staple of logic from Aristotle through the middle ages until quite recently. However, the biological species concept during the same period was at first subtly and then overtly different. Unlike the logic sense, which relied (...) on definitions of the essence of both genus and species, biological species from the time of Epicurus were consistently considered to involve a reproductive element: in short, living species relied not on essential definitions, but on the generative cause, which might not be definable. I term this the generative conception of species: species were the generation by reproduction of form. This undercuts the claim that species before Darwin were essentialist, and divorces the notion of a type from that of essence. In fact, as late as the end of the nineteenth century, logicians explicitly treated biological “species” as a homonym only of logical essentialist species, and permitted considerable deviation from the type or form. At every point, species in logic were thought to be a subset, in effect, of some more general notion. I sketch a history of both philosophical and biological traditions of the species concept, before turning to the current conceptions. These are reconsidered in the light of this history, and in particular Mayr’s changing views are shown to be somewhat Whiggish, historiographically. Of the many touted biological species concepts, only one of which (Mayr’s) is called _the_ Biological Species Concept, none appears to capture all the relevant facts, intuitions, and operational requirements of biology. Cladistic conceptions, however, have much in common with the older philosophical literature, in that the natural group of cladism is the clade, or monophyletic group. After considering the Individuality Thesis, and the metaphysics of species, we see that species are the most particular terminal taxa in a clade, and that they are “defined” in terms of the particular synapomorphies, or evolved characters, that are causally responsible for keeping the lineages that organisms form distinct from one another. In this way, we can remain within the generative conception of species that has been in play for over two millennia, and yet avoid the pitfalls of prior attempts to find a universal conception of species. (shrink)

Open theists argue that God's relationship to time, as conceived in classical theism, is erroneous. They explain that it is contradictory for an atemporal being to act in a temporal universe, including experiencing its temporal successions. Contrary to the atemporalists, redemptive history has shown that God interacts with humans in time. This relational nature of God nullifies the classical notion of God as timelessly eternal. Therefore, it lacks a philosophical and theological basis. Because God is in time, He does not (...) know all future contingencies and, therefore, changes. This study examines open theism's appropriation of the A and B theories of time to the divine-human relationship. The study argues that divine temporality does not solve the tension of divine-human relationships, especially in relation to the future. Further, historical divine temporality does not negate the fact of divine atemporality. It mainly stems from God's choice to create temporal creatures and His relationship with them. Furthermore, if it is not logically and metaphysically contradictory for an omnipresent being to act in space, then it follows that an atemporal being can act in time. Whether time is understood from the metric or psychological point of view, it does not transcend God, and therefore, the limitation it places on human creatures with respect to the future does not apply to God. Lastly, although a few philosophers reject the notion of eternity as timelessly eternal, the doctrine has a philosophical and theological basis in the Scripture. (shrink)

This article tackles the sole surviving ancient commentary on what was perhaps the second most important Platonic work, with special interest for the manner in which the ancients tackled the setting of Plato's dialogues, Socratic ignorance, Socratic eros, the central myth-like Palinode, and the question of oral as against written teaching.

The appearance of consciousness in the universe remains one of the major mysteries unsolved by science or philosophy. Absent an agreed-upon definition of consciousness or even a convenient system to test theories of consciousness, a confusing heterogeneity of theories proliferate. In pursuit of clarifying this complicated discourse, we here interpret various frameworks for the scientific and philosophical study of consciousness through the lens of social insect evolutionary biology. To do so, we first discuss the notion of a forward test versus (...) a reverse test, analogous to the normal and revolutionary phases of the scientific process. Contemporary theories of consciousness are forward tests for consciousness, in that they strive to become a means to classify the level of consciousness of arbitrary states and systems. Yet no such theory of consciousness has earned sufficient confidence such that it might be actually used as a forward test in ambiguous settings. What is needed now is thus a legitimate reverse test for theories of consciousness, to provide internal and external calibration of different frameworks. A reverse test for consciousness would ideally look like a method for referencing theories of consciousness to a tractable model system. We introduce the Ant Colony Test as a rigorous reverse test for consciousness. We show that social insect colonies, though disaggregated collectives, fulfill many of the prerequisites for conscious awareness met by humans and honey bee workers. A long lineage of philosophically-neutral neurobehavioral, evolutionary, and ecological studies on social insect colonies can thus be redeployed for the study of consciousness in general. We suggest that the ACT can provide insight into the nature of consciousness, and highlight the ant colony as a model system for ethically performing clarifying experiments about consciousness. (shrink)

In this paper, I offer an expansionist view of the Frickerian central case of testimonial injustice, citing examples from the South Asian context. To defend this expansionist position, I provide an argument in three parts. First, I argue that credibility deficit and credibility excess are entangled with each other in such a way that often, one produces the other. Secondly, I contend that we should not say that systematic testimonial injustice is a consequence of credibility deficit only because of the (...) entanglement between them. I also contend that for being the central case of testimonial injustice, identity prejudice should not be necessarily negative; it can be positive as well. Propounding a twofold condition of the status of a knower, the last part claims that testimonial injustice occurs when one of the two conditions remains unmet. (shrink)

This paper explains how discrimination and COVID-19 related stigmas are intertwined. When people stigmatize COVID-19 victims, they act in ways for which the victims suffer status loss and discrimination. As a result, they do not enjoy participatory parity in various aspects of their life making COVID-19 related stigmatization a deplorable instance of discrimination. But a society already fraught with discrimination is a breeding ground of stigmatization often because of people’s fear and anxiety about their life once they become a patient (...) of a disease like COVID-19. (shrink)

As social and interdependent beings, we have responsibilities to each other. One of them is to recognize each other appropriately. When we fail to meet this responsibility, we often stigmatize. In this paper, I argue that the COVID-19-related stigmatization is a variation of the lack of recognition understood as an orientation to our evaluative features. Various stereotypical behaviors regarding COVID-19 become stigmatized practices because of labeling, stereotyping, separation, status loss and discrimination, and power. When people stigmatize COVID-19 victims, they orient (...) themselves to their evaluative quality of being vulnerable to the SARS-CoV-2 virus by internalizing the victims as dangerous, understanding them as separable, and being motivated to act with them differently. All this causes the COVID-19 victims to lose status and suffer discrimination for which they do not experience participatory parity in different facets of their lives, rendering the COVID-19-related stigmatization an appalling example of misrecognition. (shrink)

Drèze and Sen are not entirely right in their apparent glorification of the roles of nongovernmental organizations in Bangladesh in An Uncertain Glory: India and Its Contradictions because they leave out and/or de-emphasize some important issues, especially those that are related to the problematic trusting relationship between nongovernmental organizations in Bangladesh and rural poor women. Nongovernmental organizations’ use of trust disturbs social solidarity in rural Bangladesh mainly because of their massive supervision mechanism that they undertake to sustain the so-called trusting (...) relationship between them and their debtors. The massive supervision mechanism damages social solidarity also because it creates a tension between local norms and nongovernmental organizations’ neoliberalist values of “discipline, efficiency and competitiveness,” which nongovernmental organizations try to inject into villagers by their numerous social engineering programs, which are state’s responsibility. Nongovernmental organization monitoring has some psychological impacts on their clients that also contribute to shaking social solidarity. The absence of a proper trusting relationship between nongovernmental organizations and rural poor women reduces the capabilities of the latter as a result of which Drèze and Sen’s glorification of Bangladeshi nongovernmental organizations and Sen’s capabilities approach are in tension. However, there are strategies that Bangladeshi nongovernmental organizations should employ to address the issues raised due to their massive supervision mechanism. (shrink)

This study contributes to the micro-credit literature by addressing the lack of philosophical dialogue concerning the issue of trust between micro-credit NGOs and rural poor women. The study demonstrates that one of the root causes of NGOs’ contested roles in Bangladesh is the norm that they use (i.e., trust) to rationalize their micro-credit activities. I argue that Bangladeshi micro-credit NGOs’ trust in poor village women is not genuine because they resort to group responsibility sustained through aggressive surveillance. I maintain so (...) by drawing on a trust-based theoretical framework that uses various philosophical insights. Drawing on the same conceptual framework, I also contend, somewhat softening the previous claim, that if micro-credit trust is trust at all, it is at most strategic, not generalized. For being strategic, it has many undermining effects on local social solidarity norms, rendering Bangladeshi micro-credit NGOs and strategic trust an odd couple with no moral compass. To bring forth the moral impetus in micro-credit activities, I lay out some recommendations intended for organizations, managers, and policymakers, consistent with normative corporate social responsibility initiatives. However, further studies can be initiated based on this paper, suggesting its importance for future research. (shrink)

Development ethics is concerned with the justification of development in terms of different normative issues. Mahatma Gandhi was the greatest among all who contributed to the Indian nationalism movement. The focus of this article is to show that Mahatma Gandhi can be regarded as a third world precursor of development ethics. To facilitate the purpose, the writer will try to show first that Gandhi’s theory of ahimsa acts as a foundational ethics of his entire development thought, because it is against (...) arbitrary consumerism and unsustainable resource use. Then the writer will analyze three important concepts of Gandhi – sarvodaya, swadeshi and satyagraha – which are the three principles of sustainable development, an important aspect of development ethics. Through its preference to the essential unity and equality of all earthly creatures, the principle of sarvodaya shows an empathetic approach towards natural world. The swadeshi spirit is handy in getting support for the national economic planning. To fight against injustices, Gandhi resorted to the method of satyagraha. Hence it became a technique that made the foundation of development ethics (that is, ahimsa) practical. Before drawing the conclusion, the writer will briefly evaluate Gandhi’s development thought that will also depict how Gandhi pioneered development ethics. (shrink)

In 2020, an international team of intercultural philosophers and African linguists created a multilinguistic game named Adinkra. This name refers to a medieval rooted symbolic language in Ghana that is actively used by the Akan and especially the Asante among them to communicate indirectly. The Akan is both the meta-ethnic name of the largest Ghanaian cultural-linguistic group of which the Asante is an Akan cultural subgroup and of a Central Tano language of which Asante-Twi is a dialect. The Adinkra symbols, (...) which have permeated Akan life and the arts, can be found e.g. on Asante royal staffs and gold weights. They are also loosely connected to Akan proverbs. The game Adinkra aims to enhance its players’ intercultural communicative, and moral philosophical understanding by matching Adinkra symbols with Akan proverbs. It was created for educational and therapeutical purposes. This article focusses on the rules, the making of Adinkra, its aims and objectives. The objective of this article is twofold. First, it focusses on the game itself. It elaborates on what its rules are and the content of the game. It also focusses on how playing the multilinguistic game, Adinkra can enhance intercultural understanding and communication. It, furthermore, concentrates on the results of a pilot reception study of this game in the Netherlands among intercultural groups of players. This study has proven that the Adinkra game stimulates creative thinking, engagement in dialogue and reflective ethical thinking. For this reason, the authors believe that it has a lot to contribute to intercultural educational programs with a focus on intercultural communication, philosophy and arts in both Africa and the global North. Finally, a section is devoted to the question of how the Adinkra game was developed and methodologically grounded in Gadamer’s playful hermeneutics, and the theories of the Wheel of the Intercultural Art of living and (African) Indigenous Religions. Secondly, the article focusses on the game’s oral-literary storytelling context and Akan moral ideas. It then throws the searchlight on the creative, therapeutic value and its potential to serve as a ‘cultural detox’. The authors and game makers think that being introduced to an African communitarian ethos hidden in the Adinkra symbols and Akan proverbs can help its players to develop a critical eye for the highly individualistic ethos of Western culture that, among others, is promoted by neoliberal thinking and praxis. The word praxis is used by the authors in the meaning found in educational contexts. Adinkra’s players are stimulated to reflect upon a different moral idea, which can change their mindset and put them into action to contribute to social awareness and societal change. (shrink)

The paper explores the logical structure of Rawlsian justice principles in order to see whether their justificatory or explanatory conditions are unproblematic. To facilitate this purpose, drawing on readers of Rawls, the author shows that the Aristotelian principle is used to explain the principles of rational choice, particularly the principle of inclusiveness. Then, on the basis of the Aristotelian principle, Rawls justifies his conclusion, via the principles of rational choice and the theory of primary goods. After figuring out the logical (...) structure of justice as fairness, the author deals with the central objective of the paper, where he exposes some problems suffered by the motivational basis of the principles of justice. The foundation on which Rawls grounds his principles of justice is problematic, and consequently, they remain as matters of contention as of today. (shrink)

In this paper, I argue the importance of competition and cooperation cannot be denied as they both are instrumental in making any business transaction. Because two parties always set for themselves different priorities to a business transaction, business has been thought of in terms of competition. But cooperative action is also important, because in the case of cooperative activities the overall total is greater (though the outcomes differ) if we do cooperate than if we do not. Hence humans form cooperative (...) groups to compete for scarce resources. Those business firms, where employees take specialized, interdependent jobs and work together to compete in the free market, produce higher quality products and show greater work efficiency. Hence friendly cooperation is needed to compete more efficiently against other individuals or groups. It is for this reason people should value more in belonging to a group, practicing teamwork, helping others, etc. They should put more value on cooperation than competition though both competition and cooperation are natural to man. (shrink)

হেগেল তাঁর “লজিক এজ মেটাফিজিক্স” নামক গ্রন্থাংশের শুরুতেই অল্প ব্যবধানে যুক্তিবিদ্যার দৃশ্যত দুটি ভিন্ন সংজ্ঞা প্রদান করেন। এ দুটি সংজ্ঞানুযায়ী, যুক্তিবিদ্যা বিশুদ্ধ ধারণার বিজ্ঞান হলেও এটিকে চিন্তার বিজ্ঞান হিসেবেও আখ্যায়িত করা যেতে পারে। কিন্তু প্রশ্ন হলো, হেগেল একই গ্রন্থাংশে অল্প ব্যবধানে যুক্তিবিদ্যার এ যে দুটি ভিন্ন সংজ্ঞা প্রদান করলেন, তার কারণ কী? বা এ দুটি সংজ্ঞার মধ্যে সম্পর্কই বা কী? তারা কি একে অপরকে সমর্থন করে? বা তারা কি আসলেই ভিন্ন দুটি সংজ্ঞা? নাকি একই বক্তব্যের দুটি ভিন্ন প্রকাশ? এ প্রশ্নগুলোর (...) উত্তর খোঁজাই বর্তমান প্রবন্ধের মূল উদ্দেশ্য। এক কথায়, প্রবন্ধের মূল উদ্দেশ্য হচ্ছে, হেগেল প্রদত্ত যুক্তিবিদ্যার দুটি ভিন্ন সংজ্ঞার মধ্যকার সম্পর্ক নির্ণয়। প্রবন্ধে লেখক দেখিয়েছেন যে, হেগেল প্রদত্ত যুক্তিবিদ্যার সংজ্ঞা দুটির মধ্যে পারস্পরিক যে সম্পর্ক তা কোনোভাবেই সাংঘর্ষিক বা বর্জনমূলক নয়। বরং এ সম্পর্ক রূপান্তরমূলক বা স্পষ্টীকরণমূলক বলে সংজ্ঞাদ্বয়কে একই মুদ্রার এপিঠ ওপিঠ বললেও অত্যুক্তি হবে না।. (shrink)

This paper aims to show the necessity of development ethics. For this purpose, I discuss two of many moral issues of development policy – poverty and corruption. I argue that reducing poverty and curbing corruption are the two moral issues that should be considered seriously, because poverty and corruption prevent people from getting any access to development. But in order to reduce poverty and to curb corruption value-neutral measures of economics are not enough. They are also involved with ethical assumptions. (...) I show that if any development policy maker wants to reduce poverty and corruption to some extent, he has to resort not only to value-neutral strategies of development, but also to the ethics of development. And this opens the door for development ethics that can contribute to the creation of a sane and judicious development policy. (shrink)

The author examines the problem of motivation about future generations. He argues that though many philosophers think that direct motivations are problematic for future generations only, they are not unproblematic for the current generations too, and that the motivation problem can be solved if we consider the idea of “leaving the earth no worse.” He also shows why such an idea should be promoted and can motivate us to work in the best interests of current and future generations. The author (...) also contends that prioritizing the idea of “leaving the earth no worse” is not exclusively anthropocentric. (shrink)

Wat betreft economische groei en ontwikkeling van de werkloosheid heeft de Nederlandse economie het sinds 1973 slechter gedaan dan andere OECD-landen. Op de vraag naar de oorzaken van die slechte prestatie zijn in het verleden uiteenlopende antwoorden gegeven door o.m. Bomhoff en Clavaux. Ook zijn er diverse wegen aangegeven om op te rukken naar een betere positie. In dit artikel presenteren de auteurs de resultaten van een internationale doorsnee-analyse om de verschillen in economisch succes tussen landen met behulp van een (...) eenvoudig neo-klassiek macro-economisch model te verklaren. Dit biedt de mogelijkheid om te traceren wat de rol van de exportgroei, de groei van de bevolking, de wisselkoers, de verhouding tussen de binnenlandse en de buitenlandse prijsontwikkeling en de investeringsquote voor verschillen in economische ontwikkeling is geweest. Vooral de uitvoer gecorrigeerd voor de omvang van de bevolking, de investeringsquote en de nominale wisselkoers komen als belangrijke verklarende variabelen naar voren. Op grond van hun analyse komen de auteurs tot de conclusie dat een beleid gericht op het verbeteren van de Nederlandse economische prestatie op lange termijn zich vooral zou moeten concentreren op het benutten van exportkansen en op een hoog investeringsniveau ter bevordering van technologische vernieuwing en daarmee verbetering van de concurrentiepositie. Daarbij moet worden voorkomen dat revaluatie van de gulden het exporteffect teniet doet. (shrink)

The purpose of this paper is to introduce and study the characteristic function of a neutrosophic set. After given the fundamental definitions of neutrosophic set operations generated by the characteristic function of a neutrosophic set ( Ng for short), we obtain several properties, and discussed the relationship between neutrosophic sets generated by Ng and others. Finally, we introduce the neutrosophic topological spaces generated by Ng . Possible application to GIS topology rules are touched upon.

The global water crisis is being exacerbated by climate change, even in the United States. Recycled water is a feasible alternative to alleviate the water shortage, but it is constrained by humans’ perceptions. The current study examines how residents’ water scarcity awareness and climate change belief influence their willingness to use recycled water directly and indirectly. Bayesian Mindsponge Framework (BMF) analytics was employed on a dataset of 1831 residents in Albuquerque, New Mexico, an arid inland region in the US. We (...) discovered that residents’ willingness to use direct recycled potable water is positively affected by their awareness of water scarcity, but only if they believe in the impacts of climate change on the water cycle. Meanwhile, the willingness to use indirect recycled potable water is influenced by water scarcity awareness, and the belief in climate change further enhances this effect. These findings implicate that fighting climate change denialism and informing the public of the water scarcity situation in the region can contribute to the effectiveness and sustainability of long-term water conservation and climate change alleviation efforts. (shrink)

Background: Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Fortunately, it is also treatable. Depression causes feelings of sadness and/or a loss of interest in activities once enjoyed. It can lead to a variety of emotional and physical problems and can decrease a person’s ability to function at work and at home. Depression affects an estimated one in 15 adults (6.7%) in any given (...) year. And one in six people (16.6%) will experience depression at some time in their life. Depression can strike at any time, but on average, first appears during the late teens to mid-20s. Women are more likely than men to experience depression. Some studies show that one-third of women will experience a major depressive episode in their lifetime. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment and give the appropriate method of treatment through several tips that concern the disease and how to treat it and we will see it through the application on the expert system. Methods: in this paper the design of the proposed Expert System which was produced to help Psychologist in diagnosing depression disease through its symptoms such as: a loss of energy, a change in appetite, sleeping more or less, anxiety, reduced concentration, indecisiveness, restlessness, feelings of worthlessness, guilt or hopelessness and thoughts of self-harm or suicide. The proposed expert system presents an overview about depression disease is given, the cause of diseases is outlined and the treatment of disease whenever possible is given out. SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results: The proposed depression disease diagnosis expert system was evaluated by psychologist students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for psychologist, patients with depression and newly graduated psychologist. (shrink)

Abstract. Intelligent Tutoring System Builder (ITSB) is an authoring tool designed and developed to aid teachers in constructing intelligent tutoring systems in a multidisciplinary fields. The teacher is needed to create a set of pedagogical fundamentals, which, in line, are inured to automatically build up a broad tutor framework and construct an intelligent tutoring system. In this paper an explanation of the theory and the architecture of the tool is outlined. A presentation of several system components, the requirements of the (...) different components, integration of these components in ITSB tool are shown. Furthermore, implanting of requirements, cognitive principle, and common design fundamentals in the tool to ease the use of teachers. A variety of design matters, an example of building an intelligent tutoring system for teaching Java language using ITSB tool and an evaluation are presented. (shrink)

Abstract: This research focuses on utilizing Artificial Neural Networks (ANNs) to predict Audit Risk accurately, a critical aspect of ensuring financial system integrity and preventing fraud. Our dataset, gathered from Kaggle, comprises 18 diverse features, including financial and historical parameters, offering a comprehensive view of audit-related factors. These features encompass 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' 'History_score,' 'score,' and 'Risk,' with a total of 774 samples. Our proposed neural network architecture, consisting of three (...) layers (1 input, 1 hidden, and 1 output), forms the core of this study. While it may seem simple, the power of ANNs lies not in complexity but in their ability to uncover intricate data patterns. The model underwent rigorous training and validation, resulting in remarkable outcomes—an accuracy of 100% and an average error rate of 0.000015. In addition to performance metrics, our research investigates feature importance, revealing the key contributors to Audit Risk prediction. Notably, 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' and 'History_score' emerged as the most influential factors, shedding light on the elements crucial for precise risk assessment. This study advances Audit Risk prediction models and highlights the potential of ANNs in strengthening financial system integrity and fraud prevention. The insights gained from our findings offer practical guidance for stakeholders in the audit and financial sectors. (shrink)

Abstract: Colon cancer is a prevalent and life-threatening disease, necessitating accurate and timely diagnosis for effective treatment and improved patient outcomes. This research paper presents the development of a knowledge-based system for diagnosing colon cancer using the CLIPS language. Knowledge-based systems offer the potential to assist healthcare professionals in making informed diagnoses by leveraging expert knowledge and reasoning mechanisms. The methodology involves acquiring and structuring medical knowledge specific to colon cancer, followed by the implementation of a knowledge- based system using (...) CLIPS. The system's design integrates relevant medical databases and employs advanced reasoning mechanisms to facilitate accurate diagnosis. Evaluation results demonstrate the system's effectiveness, with high accuracy and sensitivity rates compared to existing methods. The findings highlight the potential of knowledge-based systems in improving clinical practice and patient care. The research contributes to the growing field of medical informatics by demonstrating the feasibility and effectiveness of CLIPS-based knowledge systems for colon cancer diagnosis. Future research can focus on enhancing system performance and expanding its scope to encompass other types of cancer diagnoses. (shrink)

Background: A bean is the seed of one of several genera of the flowering plant family Fabaceae, which are used as vegetables for human or animal food. They can be cooked in many different ways, including boiling, frying, and baking, and are used in many traditional dishes throughout the world. Beans are one of the longest-cultivated plants. Broad beans, also called fava beans, in their wild state the size of a small fingernail, were gathered in Afghanistan and the Himalayan foothills. (...) In a form improved from naturally occurring types, Beans were an important source of protein throughout old and new world history, and still are today. 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 Bean diseases such as Fusarium wilt, Charcoal rot or ashy stem blight, Bacterial leaf spot and blight, Mung bean yellow mosaic virus, Cercospora leaf spot. The proposed expert system presents an overview of Bean 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 Bean diseases diagnosis expert system was evaluated by Agricultural experts 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)

The paper argues that the moral philosophy of Thomas Hobbes is unified by a complex conception of reason that imposes consistency norms of both rationality and reasonableness. Hobbes’s conceptions of rightness as reciprocity, and moral goodness as sociability belong to an original and attractive moral theory that is neither teleological nor classically deontological, nor as interpreters have variously argued, subjectivist, contractarian, egoist, or dependent on divine command.

Background: Broccoli is an edible green plant in the cabbage family (family Brassicaceae, genus Brassica) whose large flowering head, stalk and small associated leaves are eaten as a vegetable. A leaf of Broccoli might be affected of Several Diseases descriped in this paper . When symptoms is encountered, it requires some kind of medical care. If appropriate Survival of Broccoli Diseases is not taken quickly, it can lead to Broccoli to die . 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 which was produced to help Farmers in diagnosing many of the broccoli diseases such as : Damping Off,Club root of crucifers or Finger and toe disease,Alternaria leaf spot,Black rot,Downy mildew, and White rust. (shrink)

Development of the world economy bears numerous negative phenomena, and require constant need to rebalance socioeconomic interests of nations, transnational subjects, and individuals. Socialisation is an important and effective tool for balancing social and individual; however, despite socialisation is evolving rapidly, its scientific and practical potential is not duly uncovered. In the article theoretical and methodological foundations of socialisation of economy is surveyed in the context of globalisation, and etymology, explanations, scope, historical phases of development, theoretical aspects and practical forms (...) of use, consequences and prospects are analysed. The term «socialisation» was determined as a multidisciplinary, used in many scientific fields, increasingly involving various areas of research and is understood as inclusion, adaptation and development of human being in society. It was determined that the economy socialisation is implemented in different fields and semantic structures, contains a large number of methodological tools, is involved at all management levels, and is primarily identified with the increasing role of social component in the life of human resources. The assumptions were made about the future transformation of this category in line with the identified predictive trends. (shrink)

This short paragraph reminds us, humans, that our own activities, past and present, have triggered many of the grave environmental problems we have been facing.

This study identifies global factors conditioning the global problematics of the direction of social development. Global threats were evaluated and defined as dangerous processes, phenomena, and situations that cause harm to health, safety, well-being, and the lives of all humanity, and require removal. The essence of global risks was defined. These risks were defined as events or conditions that may cause a significant negative effect for several countries or spheres within a strategic period if they occur. Global problems were conceptualized. (...) These problems were defined as phenomena, matters, and situations that are not completely understandable, interesting, actual, require solving and regulation, and in addition do not have unified solutions. Current global challenges were analyzed, defined as strategic guidelines that cause transformational changes and are receiving attention from humanity. Global trends were defined as courses of social development. The composition and role of global actors were described, and defined as international organizations, leading states, regional organizations, powerful corporations, institutional investors, large cities, and well-known personalities. The directions of positive courses of social development were developed by means of using the authors’ mechanism of solving the global problematics. (shrink)

Abstract: This research paper explores the transformative impact of artificial intelligence (AI) on digital media, examining both the opportunities it presents and the challenges it poses. The integration of AI into digital media has revolutionized content creation, distribution, and analytics, offering unprecedented levels of personalization, efficiency, and insight. Automated journalism, AI- driven recommendation systems, and advanced audience analytics are among the key areas where AI is making significant contributions. However, the adoption of AI also brings ethical considerations, including concerns about (...) bias, privacy, and transparency. This paper analyzes case studies of successful and unsuccessful AI implementations in digital media, highlighting lessons learned and best practices. Finally, it looks ahead to future trends and developments, providing a comprehensive overview of the current state and potential future of AI in digital media. Through this exploration, the paper aims to provide valuable insights for academics, industry professionals, and policymakers on harnessing the power of AI while addressing its challenges. (shrink)

The article is devoted to the increasing role of tourism in the world economy. The dynamics of international tourism indicators is investigated. The main global innovations in the tourism industry are identified: the growth of tourism types; the application of qualitatively new solutions of scientific and methodological and applied character; growing of tourism influence on the society; the existence of synergistic effect in the tourist industry as a result of combination of subjects efforts at all management levels; changing of the (...) role of internal and external factors that encourage innovative tourism development. In the article, the interaction of global processes on tourism innovations is defined. These processes are: intellectualization, informatization, cooperation, formation of the global tourism market, liberalization of the national tourism markets, increased competition and the spread of transnationalization. (shrink)

The contents of our conscious mind can seem unpredictable, whimsical, and free from external control. When instructed to attend to a stimulus in a work setting, for example, one might find oneself thinking about household chores. Conscious content thus appears different in nature from reflex action. Under the appropriate conditions, reflexes occur predictably, reliably, and via external control. Despite these intuitions, theorists have proposed that, under certain conditions, conscious content resembles reflexes and arises reliably via external control. We introduce the (...) Reflexive Imagery Task, a paradigm in which, as a function of external control, conscious content is triggered reliably and unintentionally: When instructed to not subvocalize the name of a stimulus object, participants reliably failed to suppress the set-related imagery. This stimulus-elicited content is considered ‘high-level’ content and, in terms of stages of processing, occurs late in the processing stream. We discuss the implications of this paradigm for consciousness research. (shrink)

Abstract: Heart attacks, or myocardial infarctions, are a leading cause of mortality worldwide. Early prediction and accurate analysis of potential risk factors play a crucial role in preventing heart attacks and improving patient outcomes. In this study, we conduct a comprehensive review of datasets related to heart attack analysis and prediction. We begin by examining the various types of datasets available for heart attack research, encompassing clinical, demographic, and physiological data. These datasets originate from diverse sources, including hospitals, research institutions, (...) and public health agencies. Our analysis aims to identify common features, data quality, and potential biases in these datasets. Next, we explore the predictive modeling techniques employed in heart attack prediction. Machine learning algorithms, such as decision trees, support vector machines, and deep neural networks, have gained prominence in predicting heart attacks. We discuss the strengths and limitations of these methods and highlight recent advancements in predictive modeling. Furthermore, we delve into the critical risk factors associated with heart attacks. Factors such as age, gender, hypertension, diabetes, and cholesterol levels are examined for their significance in predicting cardiac events. We also investigate the role of lifestyle factors, including smoking, diet, and physical activity, in heart attack risk assessment. Additionally, this review addresses the importance of data preprocessing and feature engineering in improving prediction accuracy. Feature selection methods, missing data handling, and data scaling techniques are discussed to enhance the robustness of heart attack prediction models. In conclusion, this comprehensive dataset review provides valuable insights into the state of heart attack analysis and prediction. It serves as a resource for researchers and healthcare professionals seeking to better understand the datasets available for heart attack research and the methods employed for accurate prediction. Ultimately, our efforts in dataset analysis and predictive modeling contribute to the advancement of preventive cardiology and the reduction of heart attack-related morbidity and mortality. (shrink)

Abstract: Rice is one of the most important staple crops in the world and serves as a staple food for more than half of the global population. It is a critical source of nutrition, providing carbohydrates, vitamins, and minerals to millions of people, particularly in Asia and Africa. This paper presents a study on using deep learning for the classification of different types of rice. The study focuses on five specific types of rice: Arborio, Basmati, Ipsala, Jasmine, and Karacadag. A (...) dataset of 75,000 images was collected and annotated, consisting of 15,000 images for each of the five types of rice. The deep learning system uses convolutional neural networks (CNNs) to classify images of rice grains based on their physical characteristics. The performance of the deep learning system was evaluated using metrics such as accuracy, precision, recall, and F1-score. The results show that the proposed deep learning system was able to achieve high accuracy in classifying the different types of rice, outperforming traditional image processing techniques. This study provides valuable insights into the potential of deep learning for classifying different types of rice and can be useful for applications such as quality control in rice processing industries and research in crop science. The large size of the dataset, 15,000 images for each type of rice, helped the deep learning system to learn the features of each type of rice, and increase the performance of the classifier. The attained overall accuracy of the proposed model (99.96%), Precision (99.96%), Recall (99.96%) and F1-score (99.96%). Thus, the proposed model proved that it leaned the five categories of rice and it can generalize these categories and it is effective. (shrink)

Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely to be diagnosed with a (...) heart disease or not using the medical features of the person. We used many different algorithms of machine learning such as Gaussian Mixture, Nearest Centroid, MultinomialNB, Logistic RegressionCV, Linear SVC, Linear Discriminant Analysis, SGD Classifier, Extra Tree Classifier, Calibrated ClassifierCV, Quadratic Discriminant Analysis, GaussianNB, Random Forest Classifier, ComplementNB, MLP Classifier, BernoulliNB, Bagging Classifier, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Gradient Boosting Classifier, Decision Tree Classifier, and Deep Learning to predict and classify the patient with heart disease. A quite helpful approach was used to regulate how the model can be used to improve the accuracy of prediction of heart diseases in any person. The strength of the proposed model was very satisfying and was able to predict evidence of having a heart disease in a particular person by using Deep Learning and Random Forest Classifier which showed a good accuracy in comparison to the other used classifiers. The proposed heart disease prediction model will enhances medical care and reduces the cost. This study gives us significant knowledge that can help us predict the person with heart disease. The dataset was collected from Kaggle depository and the model is implemented using python. (shrink)