-/- [Posted here is article as originally published (same title) in ALSA Forum VI (1982) pp. 1-17 plus rebuttal by Thomas D. Barton, pp. 18-22].

What is the relevance of ideals for determining virtuous argumentative practices? According to Bailin and Battersby (2016), the telos of argumentation is to improve our cognitive systems, and adversariality plays no role in ideally virtuous argumentation. Stevens and Cohen (2019) grant that ideal argumentation is collaborative, but stress that imperfect agents like us should not aim at approximating the ideal of argumentation. Accordingly, it can be virtuous, for imperfect arguers like us, to act as adversaries. Many questions are left unanswered (...) by both camps. First, how do we conceptualize an ideal and its approximation? Second, how can we determine what is the ideal of argumentation? Third, can we extend Stevens and Cohen’s anti-approximation argument beyond virtue theory? In order to respond to these questions, this paper develops a second-best perspective on ideal argumentation. The Theory of the Second Best is a formal contribution to the field of utility (or welfare) optimization. Its main conclusion is that, in non-ideal circumstances, approximating ideals might be suboptimal. (shrink)

In this paper, first we discuss the conditions under which a Large Language Model (LLM) can emulate a superior LLM and potentially trigger an intelligence explosion, along with the characteristics and dangers of the resulting superintelligence. We also explore ``superalignment,'' the process of safely keeping an intelligence explosion under human control. We discuss the goals that should be set for the initial LLM that might trigger the intelligence explosion and the Self-Adversarial Surveillance (SAS) system, which involves having the LLM (...) evaluate its own output with different prompts to scalably respond to unexpected outputs that may arise with a certain probability. We aim to construct a theoretical framework for achieving safe superalignment based on specific experiments in the field of computer science using LLMs. However, since it also deals with the metaphysical aspect assuming superintelligence being achievable; that is, an intelligence explosion can occur, we present it as an interdisciplinary study between information science and philosophy. (shrink)

The paper questions the compatibility of critical realism with ecological economics. In particular, it is argued that there is radical dissonance between ontological presuppositions of ecological economics and critical realist perspective. The dissonance lies in the need of ecological economics to state strict causal regularities in socio-economic realm, given the environmental intuitions about the nature of economy and the role of materiality and non-human agency in persistence of economic systems. Using conceptual apparatus derived from Andrew Brown’s critique of critical realism (...) and Bruno Latour’s actor-network theory, the paper refuses ontological nature/society dualism employed by critical realism, and stresses the role of non-humans in practical production and reproduction of socio-economic networks on the one hand, and in broadly defined ecological economic research on the other hand. (shrink)

We propose a new approach to the study of introspection. Instead of asking what form introspection actually takes in humans or other animals, we ask what forms it could take, in natural or artificial minds. What are the dimensions along which forms of introspection could vary? This is a relatively unexplored question, but it is one that has the potential to open new avenues of study and reveal new connections between existing ones. It may, for example, focus attention on possible (...) forms of introspection radically different from the human one and help to integrate competing theories of human introspection in a non-adversarial manner. We introduce and motivate the project, provide a preliminary mapping of the space of possible forms of introspection, and sketch a programme for interdisciplinary research on the topic. (shrink)

The purpose of this article is to continue the discussion on Europe’s converging criminal justice systems. In particular, I test a hypothesis that has recently appeared in the literature, which sees the jurisprudence of the European Court of Human Rights as one of the most significant factors that encourage a harmonization process between the adversarial and inquisitorial criminal justice systems of Europe. This claim is supported by examining the Court’s jurisprudence to identify decisions that led to legislative and policy amendments (...) in the domestic legal orders of the 46 member states of the Council of Europe. This account shows how an interplay currently taking place between judicial, policy, and statutory powers is marking the end of the adversarial-inquisitorial era. Finally, the conclusion identifies the three most important impediments that are likely to hamper this harmonization process. (shrink)

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)

The paper attempts to outline the actual academic debates around the concept of PR ethics. The first part aims to show the intimate link between professionalism and ethics as well as their bearing on the reputation of the PR field. Whether and how ethical public relations are possible is the main issue analyzed in the second part of the article. The two paradigms of public relations, “the attorney-adversary system” and “the two-way symmetrical model”, are put face to face (...) in order to better understand the arguments of their proponents as to the way of approaching to the ethical matters. A main concern of the third part is to answer the question if something is wrong with situational ethics. The problem is approached in the light of virtue ethics, which is itself situational in Aristotel’s sense of the term. In the final part, the paper suggests the possibility to use W. D. Ross’s pluralist deontology as a conceptual structure from which to build a practical model for the analysis of moral dilemmas in the PR practice. (shrink)

Note: The author holds the copyright, and there was no agreement, express or implied, not to use a facsimile PDF. -/- Using erotetic logic, the paper defines the "the whole truth" in a manner consistent with U.S. Supreme Court precedent. It cannot mean "the whole story," as witnesses in an adversary system are permitted /only/ to answer the questions put to them, nor are they permitted to speculate, add irrelevant material, etc. Nor can it mean not to add (...) an admixture of falsity, as that is already included in "nothing but the truth," and, strictly speaking, in "the truth," as any such as admixture renders the whole thing false (given bivalence is presupposed) by &-introduction. (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. (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)

This paper examines the ontological and epistemological implications of artificial intelligence (AI) through posthumanist philosophy, integrating the works of Deleuze, Foucault, and Haraway with contemporary computational methodologies. It introduces concepts such as negative augmentation, praxes of revealing, and desedimentation, while extending ideas like affirmative cartographies, ethics of alterity, and planes of immanence to critique anthropocentric assumptions about identity, cognition, and agency. By redefining AI systems as dynamic assemblages emerging through networks of interaction and co-creation, the paper challenges traditional dichotomies such (...) as human versus machine and subject versus object. Bridging analytic and continental philosophical traditions, the analysis unites formal tools like attribution analysis and causal reasoning with the interpretive and processual methodologies of continental thought. This synthesis deepens the understanding of AI’s epistemic and ethical dimensions, expanding philosophical inquiry while critiquing anthropocentrism in AI design. The paper interrogates the spatial foundations of AI, contrasting Euclidean and non-Euclidean frameworks to examine how optimization processes and adversarial generative models shape computational epistemologies. Critiquing the reliance on Euclidean spatial assumptions, it positions alternative geometries as tools for modeling complex, recursive relationships. Furthermore, the paper addresses the political dimensions of AI, emphasizing its entanglements with ecological, technological, and sociopolitical systems that perpetuate inequality. Through a politics of affirmation and intersectional approaches, it advocates for inclusive frameworks that prioritize marginalized perspectives. The concept of computational qualia is also explored, highlighting how subjective-like dynamics emerge within AI systems and their implications for ethics, transparency, and machine perception. Finally, the paper calls for a posthumanist framework in AI ethics and safety, emphasizing interconnectivity, plurality, and the transformative capacities of machine intelligence. This approach advances epistemic pluralism and reimagines the boundaries of intelligence in the digital age, fostering novel ontological possibilities through the co-creation of dynamic systems. (shrink)

Technological progress has brought about the emergence of machines that have the capacity to take human lives without human control. These represent an unprecedented threat to humankind. This paper starts from the example of chemical weapons, now banned worldwide by the Geneva protocol, to illustrate how technological development initially aimed at the benefit of humankind has, ultimately, produced what is now called the “Weaponization of Artificial Intelligence (AI)”. Autonomous Weapon Systems (AWS) fail the so-called discrimination principle, yet, the wider public (...) is largely unaware of this problem. Given that ongoing scientific research on AWS, performed in the military sector, is generally not made available to the public domain, many of the viewpoints on this subject, expressed across different media, invoke common sense rather than scientific evidence. Yet, the implications of a potential weaponization of our work as scientists, especially in the field of AI, are reaching further than some may think. The potential consequences of a deployment of AWS for citizen stakeholders are incommensurable, and it is time to raise awareness in the public domain of the kind of potential threats identified, and to encourage legal policies ensuring that these threats will not materialize. (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)

Midrash Genesis Rabbah takes aim at a variety of ideological adversaries, but the most subtle polemic is directed at sages who went beyond standard hermeneutical practices to embrace mystical approaches to Torah learning. This essay seeks to expose the use of satire and other literary forms of critique among passages treating cosmology and Torah study. Analytic tools developed by Pierre Bourdieu, especially as they pertain to exposing the use of the symbolic language intrinsic to the establishment of systems of social (...) authority, will be employed to delineate the ideological conflict among sages developing diverse approaches to ascending the religious hierarchy within early rabbinism. (shrink)

The US-Australia strategic relationship has evolved from more or less an adversarial position in the 19th century to an Australia largely dependent on the US during the Cold War to the interdependent partnership we see today. Strategic interdependence means that the US-Australia relationship is not merely a one-sided affair; that Australia has something of substance to offer the strategic relationship. Part of the reason that the relationship is strong is because of a shared language, similar social values, and compatible political-legal (...) systems. Moreover, the relationship has been thoroughly institutionalised via intelligence cooperation, defence science collaboration, and extensive personal relationships. But what the US really seems to value is Australia’s reliability as an ally. I argue that Australia best demonstrates its reliability as an ally, however, when it follows US strategic decision-making for the right reasons. This sense of reliability is more akin to trustworthiness than it is to loyalty. History demonstrates that Australia has not always agreed with the US. But agreeing doesn’t matter so much when Australia has established a track record of consistently applying sound reasoning to its strategic decisions and it has made substantive contributions to jointly sought after strategic outcomes. (shrink)

Comparatively easy questions we might ask about creativity are distinguished from the hard question of explaining transformative creativity. Many have focused on the easy questions, offering no reason to think that the imagining relied upon in creative cognition cannot be reduced to more basic folk psychological states. The relevance of associative thought processes to songwriting is then explored as a means for understanding the nature of transformative creativity. Productive artificial neural networks—known as generative antagonistic networks (GANs)—are a recent example of (...) how a system’s ability to generate novel products can both be finely tuned by prior experience and grounded in strategies that cannot be articulated by the system itself. Further, the kinds of processes exploited by GANs need not be seen as incorporating something akin to sui generis imaginative states. The chapter concludes with reflection on the added relevance of personal character to explanations of creativity. [This is Chapter 12 of the book Explaining Imagination.]. (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. (shrink)

In 2011, Hibbard suggested an intelligence measure for agents who compete in an adversarial sequence prediction game. We argue that Hibbard’s idea should actually be considered as two separate ideas: first, that the intelligence of such agents can be measured based on the growth rates of the runtimes of the competitors that they defeat; and second, one specific (somewhat arbitrary) method for measuring said growth rates. Whereas Hibbard’s intelligence measure is based on the latter growth-rate-measuring method, we survey other methods (...) for measuring function growth rates, and exhibit the resulting Hibbard-like intelligence measures and taxonomies. Of particular interest, we obtain intelligence taxonomies based on Big-O and Big-Theta notation systems, which taxonomies are novel in that they challenge conventional notions of what an intelligence measure should look like. We discuss how intelligence measurement of sequence predictors can indirectly serve as intelligence measurement for agents with Artificial General Intelligence (AGIs). (shrink)

The landscape of cybersecurity is constantly evolving, with adversaries becoming increasingly sophisticated and persistent. This manuscript explores the utilization of artificial intelligence (AI) to address these evolving threats, focusing on the journey from threat detection to autonomous response. By examining AI-driven detection methodologies, advanced threat analytics, and the implementation of autonomous response systems, this paper provides insights into how organizations can leverage AI to strengthen their cybersecurity posture against modern threats. Key words: Ransomware, Anomaly Detection, Advanced Persistent Threats (APTs), Automated (...) Threat Response and Artificial Intelligence. (shrink)

In this paper I borrow from Maria Lugones’ work on playful “world-traveling” and W.E.B. Du Bois’ notion of “double consciousness” to make the case that humor can facilitate an openness and cooperative attitude among an otherwise closed, even adversarial audience. I focus on what I call “subversive” humor, that which is employed by or on behalf of those who have been continually marginalized. When effectively used, such humor can foster the inclination and even desire to listen to others and, if (...) only for brief moments, adopt their point of view. To be able to see oneself as others see you can also be a desirable capacity, because along with such multidimensional seeing comes an epistemic advantage lacking in those who have no need nor desire to see as others do, especially if the vision of the others happens to be from below where one perceives that the promises of our explicit ideals are constantly being implicitly broken. Such humor is aesthetic, pleasurable in and of itself, and not amenable to scientific dissection. But it is also a skill that can be honed into a powerful tool of persuasion in circumstances where straightforward arguments are less effective. It can raise consciousness about the lived experiences of those suffering under systemic oppression and foster world travelling. Subversive humor encourages audiences, especially those who contribute to what Jean Harvey calls “civilized oppression”, to playfully travel across worlds and “tarry along” with the perspectives of the marginalized. (shrink)

In what is quite possibly the most famous passage of the De revolutionibus, Copernicus implies that nobody could ever place this supreme flaming torch that is the Sun in another or better place than that from which it can illuminate everything simultaneously, namely the centre of this extremely beautiful temple that is our world. Considering the fact that he leaves an interrogatory twist to this argument of convenience, and since he makes this statement without any justification as it seems entirely (...) evident to him, certain Copernicans choose to illustrate this by means of an analogy: if indeed the Sun must be positioned thus, it is because the most appropriate place for the torch intended to illuminate the room is at its centre, and not in one of its corners. Despite the heliosophy of the Renaissance having been shared by both geocentrists and Copernicans alike, this "torch" argument does not appear to have achieved much success: rarely adopted by the Copernican camp, it was even contested by some of them; as for the geocentrists, it held no appeal for them whatsoever. Did this argument of convenience therefore not benefit from the self-evidence attributed to it by Copernicus, and from, in his wake, it's continued support by a good many commentators? As is often the case when it comes to the history of thought, the pseudo-obviousness of this argument is merely the fruit of a blatant anachronism: presenting heliocentrism as the cosmological system that finally grants the Sun its worthy centrality by placing it in the centre of the room and not in a corner, is to ignore the fact that this star of the day already enjoyed, in geocentrism, a centrality esteemed to be perfectly in keeping with both its dignity and its inherent illuminative function. Having lost their grasp on this worldview that no longer belonged to them, the Copernicans thus put forward an argument which, for the geocentrists, is worthless. Yet they could have argued the objective superiority of their centrality over that accorded to the Sun by geocentrism: while the latter is only numerical, on a purely planetary scale, and frankly fictitious, the former is thoroughly spatial, of cosmic proportions and, at least on first approximation, very real. In order to produce arguments of convenience that could carry their own weight, the protagonists of the new cosmology would have benefited from getting to know the world vision of their adversaries a little better instead of addressing them from their own point of view; similarly, instead of treating as an obvious fact that which is only evident to one of the two parties present, historians of scientific thought would also be well advised to have a better understanding of the world vision of those who history now considers as the losers! (shrink)

The reintroduction of Aristotle's Analytics to the Latin West—in particular, the reintroduction of the Posterior Analytics—forever altered the course of medieval epistemological discussions. Although the Analytics fell decidedly from grace in later centuries, the sophisticated account of human cognition developed in the Posterior Analytics appealed so strongly to thirteenth-century European scholars that it became one of the two central theories of knowledge advocated in the later Middle Ages. Robert Grosseteste's 'Commentarius in Posteriorum Analyticorum Libro', written in the 1220s, is most (...) likely the first complete Latin commentary on the Posterior Analytics. As the thirteenth century wore on, Aristotle’s account of human cognition was generally set in opposition to the Augustinian-influenced theory of divine illumination that was de rigueur in the early thirteenth century. Although common consensus holds that this pattern of opposition was set already in Grosseteste’s CPA, I argue that the story of the Posterior Analytics’s early reception is, in fact, quite different. In particular, I maintain that, rather than seeing himself as forced to choose between his earlier theory of divine illumination and the “new” Aristotelian epistemology, Grosseteste is perfectly content to blend and bring together the diverse elements of these systems and to present a consciously synthetic rather than adversarial picture of these differing accounts of human cognition. (shrink)

Our concept of the universe and the material world is foundational for our thinking and our moral lives. In an earlier contribution to the URAM project I presented what I called 'the ultimate organizational principle' of the universe. In that article (Grandpierre 2000, pp. 12-35) I took as an adversary the wide-spread system of thinking which I called 'materialism'. According to those who espouse this way of thinking, the universe consists of inanimate units or sets of material such (...) as atoms or elementary particles. Against this point of view on reality, I argued that it is 'logic', which exists in our inner world as a function of our mind, that is the universal organizing power of the universe. The present contribution builds upon this insight. Then I focussed on rationality; now I am interested in the responsibility that is the driving force behind our effort to find coherence and ultimate perspectives in our cosmos. It is shown that biology fundamentally differs from physics. Biology has its own fundamental principle, which is formulated for the first time in history in a scientific manner by Ervin Bauer. This fundamental principle is the cosmic life principle. I show that if one considers the physical laws as corresponding to reality, as in scientific realism, than physicalism becomes fundamentally spiritual because the physical laws are not material. I point out that the physical laws originate from the fundamental principle of physics which is the least action principle. I show that the fundamental principle of physics can be considered as the "instinct of atoms". Our research has found deep and meaningful connections between the basic principle of physics and the ultimate principles of the universe: matter, life and reason. Therefore, the principle of least action is not necessarily an expression of sterile inanimateness. On the contrary, the principle of physics is related to the life principle of the universe, to the world of instincts behind the atomic world, in which the principles of physics, biology, and psychology arise from the same ultimate principle. Our research sheds new light to the sciences of physics, biology, and psychology in close relation to the basic principles. These ultimate principles have a primary importance in our understanding of the nature of Man and the Universe, together with the relations between Man and Nature, Man and the Universe. The results offer new foundations for our understanding our own role in the Earth, in the Nature and in the Universe. Even the apparently inanimate world of physics shows itself to be animate on long timescales and having a kind of pre- human consciousness in its basic organisation. This hypothesis offers a way to understand when and how the biological laws may direct physical laws, and, moreover, offers a new perspective to study and understand under which conditions can self-consciousness govern the laws of biology and physics. This point of view offers living beings and humans the possibility of strengthening our natural identity, and recognising the wide perspective arising from having access to the deepest ranges of our own human resources and realising the task for which human and individual life has been created. (shrink)

Midrash Genesis Rabbah takes aim at a variety of ideological adversaries, but the most subtle polemic is directed at sages who went beyond standard hermeneutical practices to embrace mystical approaches to Torah learning. This essay seeks to expose the use of satire and other literary forms of critique among passages treating cosmology and Torah study. Analytic tools developed by Pierre Bourdieu, especially as they pertain to exposing the use of the symbolic language intrinsic to the establishment of systems of social (...) authority, will be employed to delineate the ideological conflict among sages developing diverse approaches to ascending the religious hierarchy within early rabbinism. (shrink)

This paper examines the ontological and epistemological implications of artificial intelligence (AI) through posthumanist philosophy, integrating the works of Deleuze, Foucault, and Haraway with contemporary computational methodologies. It introduces concepts such as negative augmentation, praxes of revealing, and desedimentation, while extending ideas like affirmative cartographies, ethics of alterity, and planes of immanence to critique anthropocentric assumptions about identity, cognition, and agency. By redefining AI systems as dynamic assemblages emerging through networks of interaction and co-creation, the paper challenges traditional dichotomies such (...) as human versus machine and subject versus object. Bridging analytic and continental philosophical traditions, the analysis unites formal tools like attribution analysis and causal reasoning with the interpretive and processual methodologies of continental thought. This synthesis deepens the understanding of AI’s epistemic and ethical dimensions, expanding philosophical inquiry while critiquing anthropocentrism in AI design. The paper interrogates the spatial foundations of AI, contrasting Euclidean and non-Euclidean frameworks to examine how optimization processes and adversarial generative models shape computational epistemologies. Critiquing the reliance on Euclidean spatial assumptions, it positions alternative geometries as tools for modeling complex, recursive relationships. Furthermore, the paper addresses the political dimensions of AI, emphasizing its entanglements with ecological, technological, and sociopolitical systems that perpetuate inequality. Through a politics of affirmation and intersectional approaches, it advocates for inclusive frameworks that prioritize marginalized perspectives. The concept of computational qualia is also explored, highlighting how subjective-like dynamics emerge within AI systems and their implications for ethics, transparency, and machine perception. Finally, paper calls for a posthumanist framework in AI ethics and safety, emphasizing interconnectivity, plurality, and the transformative capacities of machine intelligence. This approach advances epistemic pluralism and reimagines the boundaries of intelligence in the digital age, fostering novel ontological possibilities through the co-creation of dynamic systems. (shrink)

Existing approaches to campaign ethics fail to adequately account for the “arms races” incited by competitive incentives in the absence of effective sanctions for destructive behaviors. By recommending scrupulous devotion to unenforceable norms of honesty, these approaches require ethical candidates either to quit or lose. To better understand the complex dilemmas faced by candidates, therefore, we turn first to the tradition of “adversarial ethics,” which aims to enable ethical participants to compete while preventing the most destructive excesses of competition. As (...) we demonstrate, however, elections present even more difficult challenges than other adversarial contexts, because no centralized regulation is available to halt potential arms races. Turning next to recent scholarship on populism and partisanship, we articulate an alternative framework for campaign ethics, which allows candidates greater room to maneuver in their appeals to democratic populations while nevertheless requiring adherence to norms of social and political pluralism. (shrink)

In this research, we focus on the usage of adversarial sampling to test for the fairness in the prediction of deep neural network model across different classes of image in a given dataset. While several framework had been proposed to ensure robustness of machine learning model against adversarial attack, some of which includes adversarial training algorithm. There is still the pitfall that adversarial training algorithm tends to cause disparity in accuracy and robustness among different group. Our research is aimed at (...) using adversarial sampling to test for fairness in the prediction of deep neural network model across different classes or categories of image in a given dataset. We successfully demonstrated a new method of ensuring fairness across various group of input in deep neural network classifier. We trained our neural network model on the original image, and without training our model on the perturbed or attacked image. When we feed the adversarial samplings to our model, it was able to predict the original category/ class of the image the adversarial sample belongs to. We also introduced and used the separation of concern concept from software engineering whereby there is an additional standalone filter layer that filters perturbed image by heavily removing the noise or attack before automatically passing it to the network for classification, we were able to have accuracy of 93.3%. Cifar-10 dataset have ten categories of dataset, and so, in order to account for fairness, we applied our hypothesis across each categories of dataset and were able to get a consistent result and accuracy. (shrink)

Text-guided image generation models can be prompted to generate images using nonce words adversarially designed to robustly evoke specific visual concepts. Two approaches for such generation are introduced: macaronic prompting, which involves designing cryptic hybrid words by concatenating subword units from different languages; and evocative prompting, which involves designing nonce words whose broad morphological features are similar enough to that of existing words to trigger robust visual associations. The two methods can also be combined to generate images associated with more (...) specific visual concepts. The implications of these techniques for the circumvention of existing approaches to content moderation, and particularly the generation of offensive or harmful images, are discussed. (shrink)

Why did R.G. Collingwood come to reject the adversarial style of philosophical discussion so popular among his Oxford peers? The main aim of this paper is to explain that Collingwood came to reject his colleagues’ specific style of philosophical dialogue on methodological grounds, and to show how the argument against adversarial philosophical discussion is integrated with Collingwood’s overall criticism of realist philosophy. His argument exploits a connection between method and practice that should be taken seriously even today.

In this paper I provide support for the view that at least some forms of adversariality in argumentation are legitimate. The support comes from Aristotle’s theory of illegitimate adversarial argumentation in dialectical contexts: his theory of eristic in his work On Sophistical Refutations. Here Aristotle develops non-epistemic standards for evaluating the legitimacy of dialectical procedures, standards which I propose can be understood in terms of the pragmatic notion of context as common ground. Put briefly, Aristotle makes the answerer’s meaning in (...) giving assent in dialectical contexts the basis for further moves in the game of dialectic. Moves which subvert the answerer’s meaning or do not solicit the answerer’s consent are marked as eristic, i.e. adversarial in a problematic sense. I conclude with remarks on what Aristotle’s theory may teach us about how semantic features relate to the normative evaluation of argumentation. (shrink)

Against the backdrop of the English reception of Locke’s Essay, stands a little-known philosophical dispute between two seventeenth-century women writers: Mary Astell (1666-1731) and Damaris Cudworth Masham (1659-1708). On the basis of their brief but heated exchange, Astell and Masham are typically regarded as philosophical adversaries: Astell a disciple of the occasionalist John Norris, and Masham a devout Lockean. In this paper, I argue that although there are many respects in which Astell and Masham are radically opposed, the two women (...) also have a surprising amount in common. Rather than interpret their ideas solely in relation to the ‘canonical’ philosophies of the time – Lockean empiricism and Malebranchean occasionalism – I examine the ways in which Astell and Masham are influenced by the metaphysical theories of the Cambridge Platonists, Ralph Cudworth and Henry More. On this basis, I argue that a remarkably similar theological approach underlies the metaphysical and feminist arguments of Astell and Masham. (shrink)

We recently presented our Efimov K-theory of Diamonds, proposing a pro-diamond, a large stable (∞,1)-category of diamonds (D^{diamond}), and a localization sequence for diamond spectra. Commensurate with the localization sequence, we now detail four potential applications of the Efimov K-theory of D^{diamond}: emergent time as a pro-emergence (v-stack time) in a diamond holographic principle using Scholze’s six operations in the ’etale cohomology of diamonds; a pro-Generative Adversarial Network and v-stack perceptron; D^{diamond}cryptography; and diamond nonlocality in perfectoid quantum physics.

In adversarial machine learning, attackers add carefully crafted perturbations to input, where the perturbations are almost imperceptible to humans, but can cause models to make wrong predictions. In this paper, we did comprehensive review of some of the most recent research, advancement and discoveries on adversarial attack, adversarial sampling generation, the potency or effectiveness of each of the existing attack methods, we also did comprehensive review on some of the most recent research, advancement and discoveries on adversarial defense strategies, the (...) effectiveness of each defense methods, and finally we did comparison on effectiveness and potency of different adversarial attack and defense methods. We came to conclusion that adversarial attack will mainly be blackbox for the foreseeable future since attacker has limited or no knowledge of gradient use for NN model, we also concluded that as dataset becomes more complex, so will be increase in demand for scalable adversarial defense strategy to mitigate or combat attack, and we strongly recommended that any neural network model with or without defense strategy should regularly be revisited, with the source code continuously updated at regular interval to check for any vulnerability against newer attack. (shrink)

Adversarial philosophy is under attack (!), but I speculate that it is useful for working out the level of a philosopher and sometimes for increasing the respect awarded to some individuals and groups. There may be no alternative to it when you have an excess of philosophers of around the same level.

Vietnam, with a geographical proximity and a high volume of trade with China, was the first country to record an outbreak of the new Coronavirus disease (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2 or SARS-CoV-2. While the country was expected to have a high risk of transmission, as of April 4, 2020—in comparison to attempts to contain the disease around the world—responses from Vietnam are being seen as prompt and effective in protecting the interests of its citizens, (...) with 239 confirmed cases and no fatalities. This study analyzes the situation in terms of Vietnam’s policy response, social media and science journalism. A self-made web crawl engine was used to scan and collect official media news related to COVID-19 between the beginning of January and April 4, yielding a comprehensive dataset of 14,952 news items. The findings shed light on how Vietnam—despite being under-resourced—has demonstrated political readiness to combat the emerging pandemic since the earliest days. Timely communication on any developments of the outbreak from the government and the media, combined with up-to-date research on the new virus by the Vietnamese science community, have altogether provided reliable sources of information. By emphasizing the need for immediate and genuine cooperation between government, civil society and private individuals, the case study offers valuable lessons for other nations concerning not only the concurrent fight against the COVID-19 pandemic but also the overall responses to a public health crisis. (shrink)

In adversarial machine learning, attackers add carefully crafted perturbations to input, where the perturbations are almost imperceptible to humans, but can cause models to make wrong predictions. In this paper, we did comprehensive review of some of the most recent research, advancement and discoveries on adversarial attack, adversarial sampling generation, the potency or effectiveness of each of the existing attack methods, we also did comprehensive review on some of the most recent research, advancement and discoveries on adversarial defense strategies, the (...) effectiveness of each defense methods, and finally we did comparison on effectiveness and potency of different adversarial attack and defense methods. We came to conclusion that adversarial attack will mainly be blackbox for the foreseeable future since attacker has limited or no knowledge of gradient use for NN model, we also concluded that as dataset becomes more complex, so will be increase in demand for scalable adversarial defense strategy to mitigate or combat attack, and we strongly recommended that any neural network model with or without defense strategy should regularly be revisited, with the source code continuously updated at regular interval to check for any vulnerability against newer attack. (shrink)

The information regime is mediated by the culture of the electronic device. It is characterized by the control of the deluded citizen through the deployment of freedom, thereby nullifying the core issue of human life: freedom. Through phenomenological-hermeneutic methodology (Heidegger, 2002), this work starts from the world of digital life to direct the interpretation towards digital governance, all of which appears as a hermeneutic horizon the information regime. It is concluded that in this new social order the political and all (...) other orders that arise from interaction are governed by a capitalism of emotions. (shrink)

In this paper I focus on the historiographical fate of Francisco Suárez (1548–1617) and Pedro da Fonseca (1528–1599) in two Iberian journals ran by Jesuits and founded in 1945: the Spanish Pensamiento, and the Portuguese Revista portuguesa de filosofia. I endeavor to show that the discussions of Suárez’s and Fonseca’s ideas on these journal is a two-sided case of constructing the legacies of major figures in late scholasticism, and I emphasize how the demand to identify cultural national heroes intertwines with (...) theoretical and ideological elements, especially the peculiar history of the Iberian Peninsula, and to the historical relationships between Spain and Portugal. With regard to Suárez, the Pensamiento group strives to carve out a specific place for Neo-Suarezianism within Neo-Thomism, also via a substantive reassessment of Suárez’s importance in the history of scholasticism and of philosophy in general. Hence, Suárez’s thought undergoes triumphant reevaluation, which even aims at ousting Aquinas as the ultimate reference of scholasticism, to make Suárez’s Thomism the principal authority of contemporary schools. By contrast, Fonseca remains a rather obscure and neglected figure, dug up by his fellow compatriots on the Revista portuguesa de filosofia, also against this attempt at establishing a Suarezian, Spanish hegemony. (shrink)

The purpose of the paper is to consider genesis and approaches to forming a security culture of tourism and hospitality enterprises that are superstructures of economic, industrial, professional, household, ecological, psychological and social security. In the research, apart from general scientific methods, we used the collection and analysis of primary information obtained from the survey of 220 respondents. Three areas that have a decisive influence on the security of tourism and hospitality enterprises have been identified: organizational culture, decision-making responsibility, and (...) competitiveness. The decision-making methods for different leadership styles were identified. There were conceptualized connection and strength of correlation between types of strategic decisions, leadership styles and organizational culture of tourism and hospitality enterprises. It has been proposed the factors’ configuration relevant to the security of tourism and hospitality enterprises, which focuses on the economic security formation as a function of organizational culture, responsibility for decision making and competitiveness. The styles of leadership and decision-making styles have been revealed, which determine the effectiveness of economic security of tourism and hospitality enterprises. (shrink)

Volume 31, Issue 1, January 2023, Page 103-126.

Reserve systems are a tool to allocate scarce resources when stakeholders do not have a single objective. This paper introduces some basic concepts about reserve systems for pandemic medical resource allocation. At the onset of the Covid-19 pandemic, we proposed that reserve systems can help practitioners arrive at compromises between competing stakeholders. More than a dozen states and local jurisdictions adopted reserve systems in initial phases of vaccine distribution. We highlight several design issues arising in some of these implementations. We (...) also offer suggestions about ways practitioners can take advantage of the flexibility offered by reserve systems. (shrink)

In order to enhance music education courses, the study's primary goal is to evaluate students' academic performance in music at Visayas State University (VSU). It specifically sought to establish the respondents' age, gender, educational attainment, and demographic profile. It also aimed to determine the students’ academic success in music and provide suggestions to enhance the curriculum at the Visayas State University. In the demographic profile of the respondents in terms of age, the students dominate the younger generation wherein they belong (...) to the age bracket of 16-20 years old. 75% of the participants were females, which reflected the majority of the population. Most of the students only got average grades. The weak background and foundation are due to less time given to music in MAPEH as a subject. Thus, they just encountered proper music education upon reaching the tertiary level hence, lacking the basic skills necessary for them to learn and appreciate the course then and obtain higher grades. (shrink)

Chest pain is the pain felt in the chest by infants, children and adolescents. In most cases the pain is not associated with the heart. It is mainly recognized by the observance or report of pain by the infant, child or adolescent by reports of distress by parents or care givers. Chest pain is not unusual in children. Lots of children are seen in ambulatory clinics, emergency rooms and hospitals and cardiology clinics. Usually there is a benign cause for the (...) pain for utmost children. Certain patients have conditions that are serious and perhaps life-threatening. Chest pain in pediatric patients needs careful physical examination and a detailed history that would point to the possibility of a serious cause. Researches of pediatric chest pain are scarce. It has been difficult to create evidence-based guidelines for evaluation. In this paper we propose an expert system to help doctors and parents, and care giver in diagnosing chest pain in infants and children. This expert System is design and implemented in SL5 Object language. (shrink)

This article offers an interpretation of Schelling's theory of ideas within his philosophy of identity, arguing that it should be understood as a theory of the intelligibility of being—that is, the capacity for the world to be meaningfully articulated in thought. By placing Schelling's ideas into dialogue with Wittgenstein's Tractatus Logico -Philosophicus, the author aims to show how Schelling's philosophy might provide valuable insights for contemporary analytic interpretations of German idealism. Schelling's notion of ideas encompasses three key features: (1) they (...) express the principle of identity as the foundation of reality, (2) they constitute totalities or self-contained universes, and (3) they are individuals that are unified within a single totality. The author explains these features and demonstrates how they jointly establish the conditions necessary for the possibility of meaning and coherent thought. (shrink)

This contribution explores disability rights protection in Inter-American States within the framework of the OAS and in the context of the obligations established under the CIADDIS and the CRPD. Following the classical division between ‘primary’ and ‘secondary’ rules, the contribution first sketches key regulatory initiatives in the area of disability rights and second considers compliance and enforcement mechanisms. Along these lines, the first section illustrates similarities and differences between the CIADDIS and the CRPD and, within this framework, essential regional regulatory (...) initiatives. The second section assesses disability rights in select countries, based on periodic reports under the CIADDIS and CRPD. The section examines the four largest countries by population in the region, notably, the United States of America (US), Mexico, Brazil and Colombia. The third section explores the enforcement of disability rights via key cases before the Inter-American Commission on Human Rights (IAComHR) and the Inter-American Court of Human Rights (IACtHR). The purpose is providing a comprehensive understanding of disability rights in the region and identifying key regulatory problems and ways forward. (shrink)

Forgiveness as a positive response to wrongdoing is a widespread phenomenon that plays a role in the moral lives of most persons. Surprisingly, Kant has very little to say on the matter. Although Kant dedicates considerable space to discussing punishment, wrongdoing and grace, he addresses the issues of human forgiveness directly only in some short passages in the Lectures on Ethics and in one passage of the Metaphysics of Morals. As noted by Sussman, the TL passage, however, betrays some ambivalence. (...) Kant establishes a duty of virtue to be forgiving (TL, 6:460), yet he immediately warns against its excess: meek toleration of recurrent wrongs could manifest a lack of self-respect and a violation of a duty to oneself (TL, 6:461). Sussman claims that this ambivalence ultimately arises from the fact that forgiveness sits uncomfortably in Kant’s moral thought. First, forgiveness has an ‘ineluctably elective aspect’ that makes it, to a certain extent, arbitrary and dependent on particular features of the forgiver’s psychology and, as such, in tension with Kant’s central claims that human beings are autonomous agents capable of determining their own moral status. Second, according to Sussman, Kant’s moral retributivism, i.e. ‘the particular moral position that every moral wrong against another deserves punishment of the wrongdoer’ seems to be in tension with the possibility of a ‘truly redemptive forgiveness’. Moreover, forgiveness also seems to be in tension with a passage of the Religion in which Kant argues that the moral guilt from our original evil disposition cannot be understood as a debt or liability that can be compensated, erased, transferred or otherwise wiped out by others (Rel, 6:72). Thus, to the extent that forgiveness might be thought to involve the forgoing of moral guilt, it seems incompatible with Kant’s views on culpability and punishment. This chapter seeks to clarify Kant’s views on forgiveness in order to show that, although not often appreciated, personal forgiveness plays an important role in the lives of ordinary human agents as understood by Kant. In particular, I aim to show there is a conception of forgiveness available to Kant that is not incompatible with Kant’s views of punishment and culpability. In Section 1, I argue that, for Kant, far from being merely ‘elective,’ forgiveness is, under certain conditions, morally required. I provide a brief summary of an interpretation of Kant’s theory of forgiveness that I have defended in recently published work , in order to argue that Kant’s duty to be forgiving should be understood as an imperfect duty of virtue which is conditional on repentance. Kant is not ambivalent about this duty because he maintains that when the relevant conditions are not met, we have a perfect duty to ourselves not to forgive unrepentant wrongdoers. The TL passage thus identifies two different duties. In Section 2, I show that forgiveness, as conceptualised by Kant, does not require the forgoing of punishment or the overcoming of moral guilt and that this could, in fact, be seen as an attractive feature of Kant’s position. I end by offering a very brief assessment of Kant’s views. (shrink)

Developmental systems theory (DST) is a wholeheartedly epigenetic approach to development, inheritance and evolution. The developmental system of an organism is the entire matrix of resources that are needed to reproduce the life cycle. The range of developmental resources that are properly described as being inherited, and which are subject to natural selection, is far wider than has traditionally been allowed. Evolution acts on this extended set of developmental resources. From a developmental systems perspective, development does not proceed according (...) to a preformed plan; what is inherited is much more than DNA; and evolution is change not only in gene frequencies, but in entire developmental systems. (shrink)

This article presents the first, systematic analysis of the ethical challenges posed by recommender systems through a literature review. The article identifies six areas of concern, and maps them onto a proposed taxonomy of different kinds of ethical impact. The analysis uncovers a gap in the literature: currently user-centred approaches do not consider the interests of a variety of other stakeholders—as opposed to just the receivers of a recommendation—in assessing the ethical impacts of a recommender system.