Implicit stochastic models, including both ‘deep neural networks’ (dNNs) and the more recent unsupervised foundational models, cannot be explained. That is, it cannot be determined how they work, because the interactions of the millions or billions of terms that are contained in their equations cannot be captured in the form of a causal model. Because users of stochastic AI systems would like to understand how they operate in order to be able to use them safely and reliably, there has emerged (...) a new field called ‘explainable AI’ (XAI). When we examine the XAI literature, however, it becomes apparent that its protagonists have redefined the term ‘explanation’ to mean something else, namely: ‘interpretation’. Interpretations are indeed sometimes possible, but we show that they give at best only a subjective understanding of how a model works. We propose an alternative to XAI, namely certified AI (CAI), and describe how an AI can be specified, realized, and tested in order to become certified. The resulting approach combines ontologies and formal logic with statistical learning to obtain reliable AI systems which can be safely used in technical applications. (shrink)

Since the noun phrase `artificial intelligence' (AI) was coined, it has been debated whether humans are able to create intelligence using technology. We shed new light on this question from the point of view of themodynamics and mathematics. First, we define what it is to be an agent (device) that could be the bearer of AI. Then we show that the mainstream definitions of `intelligence' proposed by Hutter and others and still accepted by the AI community are too weak even (...) to capture what is involved when we ascribe intelligence to an insect. We then summarise the highly useful definition of basic (arthropod) intelligence proposed by Rodney Brooks, and we identify the properties that an AI agent would need to possess in order to be the bearer of intelligence by this definition. Finally, we show that, from the perspective of the disciplines needed to create such an agent, namely mathematics and physics, these properties are realisable by neither implicit nor explicit mathematical design nor by setting up an environment in which an AI could evolve spontaneously. (shrink)

In his “Bridging mainstream and formal ontology”, Augusto (2021) gives an excellent analysis of Dietrich von Freiberg’s idea of using causality as a partitioning principle for upper ontologies. For this Dietrich’s notion of extrinsic principles is crucial. The question whether causation can and indeed should be used as a partitioning principle for ontologies is discussed using mathematics and physics as examples.

According to the so-called ‘Taking Condition’ (a label due to Boghossian 2014) on inference, for a response R in circumstances C to count as an instance of reasoning or inferring, it must be the case that the agent’s taking it that R is warranted or justified in C plays (the right sort of) explanatory role in her R-ing. The Taking Condition has come under much criticism in the theory of reasoning. While I believe that these criticisms can be answered, my (...) aim in this paper is to build a positive case for the Taking Condition. More specifically, I argue that views based on the Taking Condition do a much better job accounting for crucial features of reasoning—especially once we recognize the pervasiveness and significance of defeasibility in our reasoning. (shrink)

Regress arguments have convinced many that reasoning cannot require beliefs about what follows from what. In this paper I argue that this is a mistake. Regress arguments rest on dubious (although deeply entrenched) assumptions about the nature of reasoning — most prominently, the assumption that believing p by reasoning is simply a matter of having a belief in p with the right causal ancestry. I propose an alternative account, according to which beliefs about what follows from what play a constitutive (...) role in reasoning. (shrink)

The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal (...) evidence from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society. (shrink)

Artificial intelligence (AI) research enjoyed an initial period of enthusiasm in the 1970s and 80s. But this enthusiasm was tempered by a long interlude of frustration when genuinely useful AI applications failed to be forthcoming. Today, we are experiencing once again a period of enthusiasm, fired above all by the successes of the technology of deep neural networks or deep machine learning. In this paper we draw attention to what we take to be serious problems underlying current views of artificial (...) intelligence encouraged by these successes, especially in the domain of language processing. We then show an alternative approach to language-centric AI, in which we identify a role for philosophy. (shrink)

The philosophical literature on reasoning is dominated by the assumption that reasoning is essentially a matter of following rules. This paper challenges this view, by arguing that it misrepresents the nature of reasoning as a personal level activity. Reasoning must reflect the reasoner’s take on her evidence. The rule-following model seems ill-suited to accommodate this fact. Accordingly, this paper suggests replacing the rule-following model with a different, semantic approach to reasoning.

The issue whether psychopathic offenders are practically rational has attracted philosophical attention. The problem is relevant in theoretical discussions on moral psychology and in those concerning the appropriate social response to the crimes of these individuals. We argue that classical and current experiments concerning the instrumental learning in psychopaths cannot directly support the conclusion that they have impaired instrumental rationality, construed as the ability for transferring the motivation by means-ends reasoning. In fact, we defend the different claim that these experiments (...) appear to show that psychopaths in certain circumstances are not aware of the relevant means for their ends. Moreover, we suggest how further empirical research could help to settle the issue. (shrink)

In his essay ‘Transparency, Belief, Intention’, Alex Byrne (2011) argues that transparency—our ability to form beliefs about some of our intentional mental states by considering their subject matter, rather than on the basis of special psychological evidence—involves inferring ‘from world to mind’. In this reply I argue that this cannot be correct. I articulate an intuitive necessary condition for a pattern of belief to count as a rule of inference, and I show that the pattern involved in transparency does not (...) meet that condition. As a result, I conclude that transparency does not involve inference. (shrink)

The 2-c debate between the Greek Apologists and the pagan Graeco-Roman tradition is multifaceted and complex. Common ground can be found in the mutual commitment to reason as a reflection of the Logos: Reason, or the rationality embedded in things. Logos, in this picture, is participated in through a performance of reasoning whose reliability is presupposed in the discourses of both debating parties—contextualized here as the presupposition that the deliverances and activity of reason are reliable for uncovering reality. Presuppositions are (...) starting points and driving principles of inquiry, here designated as first principles. One presuppositional conflict between 2-c Greek Apologists, taking the apologetic works of Justin, Theophilus, Athenagoras, and the author of the Epistle to Diognetus as a sample, and the pagan tradition, taking Celsus as its 2-c culmination, is over how to justify the commitment to reason’s reliability in the above sense. My claim in this paper is twofold: first, that the pagan position is unable in principle to demonstrate the reliability of its own reasoning and that all such inquiry is circular: it is always a further question for the pagan why reasoning reveals reality. I propose that what would count as an answer to this challenge is a metaphysical ‘fit’ between human embodiment and reality. And second, that the Apologists avoid this unhappy conclusion by committing themselves to the embodiment of Reason in Jesus—that the embodied act of human reasoning reveals reality because Reason itself is embodied in the same way. The upshot is that unless the pagan abandons his position, he is trapped in a circular epistemology and cannot encounter the Christian witness on its own terms. (shrink)

We comment on the collection of papers inspired by our book Why Machines Will Never Rule the World published in volume 12 (5+6) of the journal Cosmos+Taxis. We summarize the arguments made by the contributors about what we say in the book, and then show where we disagree.

Barry Smith recently discussed the diagraphs of book eight of Jacob Lorhard’s Ogdoas scholastica under the heading “birth of ontology” (Smith, 2022; this issue). Here, I highlight the commonalities between the original usage of diagraphs in the tradition of Ramus for didactic purposes and the the usage of their present-day successors–modern ontologies–for computational purposes. The modern ideas of ontology and of the universal computer were born just two generations apart in the breakthrough century of instrumental reason.

The term ‘intelligence’ as used in this paper refers to items of knowledge collected for the sake of assessing and maintaining national security. The intelligence community (IC) of the United States (US) is a community of organizations that collaborate in collecting and processing intelligence for the US. The IC relies on human-machine-based analytic strategies that 1) access and integrate vast amounts of information from disparate sources, 2) continuously process this information, so that, 3) a maximally comprehensive understanding of world actors (...) and their behaviors can be developed and updated. Herein we describe an approach to utilizing outcomes-based learning (OBL) to support these efforts that is based on an ontology of the cognitive processes performed by intelligence analysts. Of particular importance to the Cognitive Process Ontology is the class Representation that is Warranted. Such a representation is descriptive in nature and deserving of trust in its veridicality. The latter is because a Representation that is Warranted is always produced by a process that was vetted (or successfully designed) to reliably produce veridical representations. As such, Representations that are Warranted are what in other contexts we might refer to as ‘items of knowledge’. (shrink)

Marcello Vitali-Rosati, in the essay “The Writer is the Architect” complimented by other works, provides a two-part thesis. The first argues that space is a chiasmic structure (as inside-outside); and the second argues that this structure reveals the productive role of the subject in constructing digital space (as architect). The essay here seeks to elucidate this logic and to expose it to a Lacanian critique: that it is a hysterical discourse unable in principle to emancipate digital spaces because it entails (...) a purely immanent subject—in short, a subject which is solely product, not producer, of digital space. (shrink)

Both G.F.W. Hegel and Carl Schmitt took seriously the problem of political sovereignty entailed by liberal political theories. In Dictatorship (1919) and Political Theology (1922), Schmitt rejects liberal political theories that argue for the immediate unity of democracy and legality i.e., popular sovereignty, because he thinks they cannot secure political sovereignty. In the Philosophy of Right, Hegel denounces popular sovereignty for similar reasons. Yet given Schmitt’s negative assessment of Hegel their positions are seldom related to one another. I argue in (...) this paper that Schmitt’s analysis of liberal political theories is similar to Hegel’s analysis of Rousseau’s liberal ideas. I contend, however, that Schmitt’s solution, which collapses the distinction between the executive and the legislative power in favor of the former, fails to secure political sovereignty. Contrary to Schmitt, Hegel conceives of the liberal predicament as a basic determination of any political state that rests on the division of the legislative and executive power. Hegel argues that the constitutional monarchy is a genuine instantiation of political sovereignty that can maintain not only the division of these powers, but also their unity. In this regard, I argue that Hegel’s conception of the division of powers provides a more convincing theory of the problem afflicting modern states than Schmitt’s and at least deserves to be taken more seriously by critics of Schmitt’s solution such as Hannah Arendt, Leo Strauss, Jurgen Habermas, Andreas Kalyvas and Chantal Mouffe. (shrink)

According to dogmatism, one may know a proposition by inferring it from a set of evidence even if one has no independent grounds for rejecting a skeptical hypothesis compatible with one’s evidence but incompatible with one’s conclusion. Despite its intuitive attractions, many philosophers have argued that dogmatism goes wrong because they have thought that it licenses Moorean reasoning — i.e., reasoning in which one uses the conclusion of an inference as a premise in an argument against a skeptical hypothesis that (...) would undermine that very inference. In this paper I defend dogmatism against this line of thought. To begin with, I argue that the common assumption that uncontroversial Bayesian principles suffice to show that Moorean reasoning is not cogent is false: for all that Bayesianism says on the matter, Moorean reasoning might be perfectly fine. Nevertheless, Moorean reasoning does seem intuitively defective. As I argue, however, this does not provide grounds for an argument against dogmatism, because — contrary to what many philosophers have thought — dogmatism need not license Moorean reasoning. On the contrary, as I argue, dogmatism predicts that Moorean reasoning suffers from a clearly identifiable defect. (shrink)

The view of nature we adopt in the natural attitude is determined by common sense, without which we could not survive. Classical physics is modelled on this common-sense view of nature, and uses mathematics to formalise our natural understanding of the causes and effects we observe in time and space when we select subsystems of nature for modelling. But in modern physics, we do not go beyond the realm of common sense by augmenting our knowledge of what is going on (...) in nature. Rather, we have measurements that we do not understand, so we know nothing about the ontology of what we measure. We help ourselves by using entities from mathematics, which we fully understand ontologically. But we have no ontology of the reality of modern physics; we have only what we can assert mathematically. In this paper, we describe the ontology of classical and modern physics against this background and show how it relates to the ontology of common sense and of mathematics. (shrink)

Health Level 7 (HL7) is an international standards development organisation in the domain of healthcare information technology. Initially the mission of HL7 was to enable data exchange via the creation of syntactic standards which supported point-to-point messaging. Currently HL7 sees its mission as one of creating standards for semantic interoperability in healthcare IT on the basis of its flagship “version 3” (v3). Unfortunately, v3 has been plagued by quality and consistency issues, and it has not been able to keep pace (...) with recent developments either in semantics and ontology or in computer science and engineering. HL7’s response has been to develop its “Services-Aware Interoperability Framework” (SAIF), which is intended to provide a foundation for work on all aspects of standardization in HL7 henceforth. We here summarise the major design principles that must be satisfied by a semantic interoperability framework – principles relating both to static semantics and to computational behaviour. We then assess the SAIF in light of these principles. We conclude that the SAIF is not in a position to support the needed reform of the HL7 v3 family of standards. (shrink)

Transcript of an Interview on the podcast: Irreverend: Faith and Current Affairs.

Some defenders of so-called `artificial intelligence' believe that machines can understand language. In particular, Søgaard has argued in his "Understanding models understanding language" (2022) for a thesis of this sort. His idea is that (1) where there is semantics there is also understanding and (2) machines are not only capable of what he calls `inferential semantics', but even that they can (with the help of inputs from sensors) `learn' referential semantics. We show that he goes wrong because he pays insufficient (...) attention to the difference between language as used by humans and the sequences of inert symbols which arise when language is stored on hard drives or in books in libraries. (shrink)

Sam Harris is a contemporary illustration of the difficulties standing in the way of coherent interdisciplinary thinking in an age where science and the humanities have drifted so far apart. We are here with Harris’s views on AI, and specifically with his view according to which, with the advance of AI, there will evolve a machine superintelligence with powers that far exceed those of the human mind. This he sees as something that is not merely possible, but rather a matter (...) of inevitability. If, however, we look carefully at what intelligence is, and at how computers really work on the basis of mathematical models, then we can see that it is forever impossible to emulate inside a computer even the intelligence of crows or rabbits, let alone that of human beings. (shrink)

Das in diesem Aufsatz vorgebrachte Argumentationsmuster hat folgende Schritte: 1. Der menschliche Geist ist vom Körper nicht trennbar, sie bilden ein Kontinuum. 2. Unser Bewusstsein und alle darauf aufbauenden geistigen Phänomene sind die Emanation eines materiellen Prozesses, den ein komplexes System verursacht. 3. Komplexe Systeme lassen sich mathematisch nicht modellieren und nicht kausal verstehen. 4. Computer sind Turing-Maschinen. Sie können nur mathematische Modelle berechnen. Es wird niemals Hyper-Turing Maschinen geben, und wenn es sie gäbe, könnten sie auch nur mathematische Modelle (...) berechnen. 5. Es ist nicht möglich, den Körper als Substrat des Geistes durch einen Computer zu ersetzen. Die digitale Unsterblichkeit ist demzufolge ein Ding der Unmöglichkeit. (shrink)

The goal of creating Artificial General Intelligence (AGI) – or in other words of creating Turing machines (modern computers) that can behave in a way that mimics human intelligence – has occupied AI researchers ever since the idea of AI was first proposed. One common theme in these discussions is the thesis that the ability of a machine to conduct convincing dialogues with human beings can serve as at least a sufficient criterion of AGI. We argue that this very ability (...) should be accepted also as a necessary condition of AGI, and we provide a description of the nature of human dialogue in particular and of human language in general against this background. We then argue that it is for mathematical reasons impossible to program a machine in such a way that it could master human dialogue behaviour in its full generality. This is (1) because there are no traditional explicitly designed mathematical models that could be used as a starting point for creating such programs; and (2) because even the sorts of automated models generated by using machine learning, which have been used successfully in areas such as machine translation, cannot be extended to cope with human dialogue. If this is so, then we can conclude that a Turing machine also cannot possess AGI, because it fails to fulfil a necessary condition thereof. At the same time, however, we acknowledge the potential of Turing machines to master dialogue behaviour in highly restricted contexts, where what is called “narrow” AI can still be of considerable utility. (shrink)

In this article I discuss and evaluate the selectivity problem as a problem put forward by Bermudez (1997, 2000) against anti-intentionalist accounts of self-deception. I argue that the selectivity problem can be raised even against intentionalist accounts, which reveals the too demanding constraint that the problem puts on the adequacy of a psychological explanation of action. Finally I try to accommodate the intuitions that support the cogency of the selectivity problem using the resources from the framework provided by an anti-intentionalist (...) account of self-deception. (shrink)

The book provides an overview of the contemporary discussion of the mind-body problem. This discussion takes its modern form during the 17th century in the works of René Descartes. The book covers the most important points of view in modern philosophy of mind. An important thesis of the book is that contemporary debates are still heavily influenced by Descartes’ arguments, especially those related to the nature of consciousness. (Google translate).

This paper considers the question of whether the influential distinction between levels of explanation introduced by David Marr can be used as a general framework for contemplating levels of explanation in cognitive sciences. Marr introduced three levels at which we can explain cognitive processes: the computational, algorithmic, and implementational levels. Some argue that Marr’s levels of explanation can only be applied to modular cognitive systems. However, since many psychological processes are non-modular, it seems that Marr’s levels of explanation cannot explain (...) such psychological processes. To show that the latter claim is not convincing, the paper draws upon an influential paradigm from cognitive sciences that is based on the principle of free energy. Based on this paradigm, the paper argues that even non-modular psychological processes can be computationally analyzed and algorithmically implemented. The conclusion of the paper is that, at least under the assumption that the func- tion of the mind is to minimize free energy, Marr’s levels of explanation can be successfully used as a general framework for understanding psychological processes at different levels of description. (shrink)

The article discusses some aspects of the narrative explanation, and its nature and role in explaining the historical entities. The author defends possibility of formulating status of narrative explanation as scientific and adequate for all historical sciences, here defined as sciences concerned with the spatio-temporally restricted entities. lie suggests that uniqueness and particularity of historical objects are not in contradiction with the claims based on the classical model of explanation in the way of logical inferring. Results of discussion are that (...) undeveloped explanations, like explanation sketches, could be adopt, not just in accordance with pragmatic reasons, but also as the step toward full-fledged or complete explanation trough mediation of developing the scientific research programs on which they are based. (shrink)

Recently there has been a trend of moving towards biological and neurocognitive based classifications of mental disorders that is motivated by a dissatisfaction with the syndrome-based classifications of mental disorders. The Research Domain Criteria (indicated with the acronym RDoC) represents a bold and systematic attempt to foster this advancement. However, RDoC faces theoretical and conceptual issues that need to be addressed. Some of these difficulties emerge when we reflect on the plausible reading of the slogan “mental disorders are brain disorders”, (...) that according to proponents of RDoC constitutes one of its main presuppositions. Some authors think that endorsing this idea commits RDoC to a form of biological reductionism. We offer empirical and theoretical considerations for concluding that the slogan above should not be read as a reductionist thesis. We argue, instead, that the slogan has a pragmatic function whose aim is to direct research in psychopathology. We show how this function might be captured in the framework of a Carnapian explication as a methodological tool for conceptual engineering. Thus, we argue that a charitable interpretation of the aims of the proponents of RDoC should be understood as an attempt at providing an explication of the concept of mental disorder in terms of brain disorder whose main goal is to provide a more precise and fruitful notion that is expected to have a beneficial impact on classification, research, and treatment of psychiatric conditions. (shrink)

Despite many authors in psychiatry endorsing a naturalist view of the mind, many still consider that mental dysfunctions cannot be reduced to brain dysfunctions. This paper investigates the main reasons for this view. Some arguments rely on the analogy that the mind is like software while the brain is like hardware. The analogy suggests that just as software can malfunction independently of hardware malfunctions, similarly the mind can malfunction independently of any brain malfunction. This view has been critically examined in (...) recent literature. However, other less discussed reasons suggest that mental dysfunctions cannot be reduced to brain dysfunctions because mental dysfunctions are appropri- ately ascribed at the level of intentional mental states, while brain dysfunctions are solely related to abnormalities in anatomy and physiological processes. This paper questions why such a view would be upheld. The discussion is framed within the interface problem in the philosophy of cognitive science, which concerns the relationship between personal and subpersonal levels of explanation. The paper examines the view that an autonomist perspective on the personal/ subpersonal distinction could justify the separation of mental dysfunctions, described in intentional terms, from brain dysfunctions, described in anatomical or physiological terms. Ultimately, the paper argues that the autonomist view cannot be upheld in psychiatry and, consequently, does not provide a principled justification for rejecting the reduction of mental dysfunctions to brain dysfunctions. (shrink)

Call it the Skynet hypothesis, Artificial General Intelligence, or the advent of the Singularity — for years, AI experts and non-experts alike have fretted (and, for a small group, celebrated) the idea that artificial intelligence may one day become smarter than humans. -/- According to the theory, advances in AI — specifically of the machine learning type that’s able to take on new information and rewrite its code accordingly — will eventually catch up with the wetware of the biological brain. (...) In this interpretation of events, every AI advance from Jeopardy-winning IBM machines to the massive AI language model GPT-3 is taking humanity one step closer to an existential threat. We’re literally building our soon-to-be-sentient successors. -/- Except that it will never happen. At least, according to the authors of the new book Why Machines Will Never Rule the World: Artificial Intelligence without Fear. (shrink)

This article investigates reasons to participate in non-deterministic elections, where the outcomes incorporate elements of chance beyond mere tie-breaking. The background context situates this inquiry within democratic theory, specifically non-deterministic voting systems, which promise to re-evaluate fairness and power distribution among voting blocs. This study aims to explore the normative implications of such electoral systems and their impact on our moral duty to vote. We analyze instrumental reasons for voting, including prudential and act-consequentialist arguments, alongside non-instrumental reasons, assessing their validity (...) in the context of non-deterministic systems. The results indicate that non-deterministic elections could strengthen the case for voting based on prudential and act-consequentialist grounds due to their proportional nature and the increased influence of each vote. We conclude that, while non-deterministic elections strengthen our duty to vote overall, they do not strengthen it for all the arguments in the literature. This paper contributes to the discourse on electoral systems by critically evaluating the moral obligation to vote in non-deterministic elections. (shrink)

An interview by Alex Thomson of UKColumn on Landgrebe and Smith's book: Why Machines Will Never Rule the World. The subtitle of the book is Artificial Intelligence Without Fear, and the interview begins with the question of the supposedly imminent takeover of one profession or the other by artificial intelligence. Is there truly reason to be afraid that you will lose your job? The interview itself is titled 'Where this is no will there is no way', drawing on one thesis (...) of the book to the effect that there will never be anything like the human will on the part of a machine. This is for mathematical reasons. AI is always and in every case a matter of algorithms; thus of applied mathematics. And algorithms are not the sorts of things that can want or desire or intend to do something. It is the human will of those who work at OpenAI or google or microsoft which have given rise to the new shiny objects of AI (ChatGPT and other Large Language Models). And it is the human will of the users of these shiny objects which gives them the resources and power to work their apparent miracles. (shrink)

The Lazy Argument, as it is preserved in historical testimonies, is not logically conclusive. In this form, it appears to have been proposed in favor of part-time fatalism (including past time fatalism). The argument assumes that free will assumption is unacceptable from the standpoint of the logical fatalist but plausible for some of the nonuniversal or part-time fatalists. There are indications that the layout of argument is not genuine, but taken over from a Megarian source and later transformed. The genuine (...) form of the argument seems to be given in different form and far closer to Megarian logical fatalism and its purpose is not to defend laziness. If the historical argument has to lead to a logically satisfactory solution, some additional assumptions and additional tuning is needed. (shrink)

In the current philosophical literature, determinism is rarely defined explicitly. This paper attempts to show that there are in fact many forms of determinism, most of which are familiar, and that these can be differentiated according to their particular components. Recognizing the composite character of determinism is thus central to demarcating its various forms.

The work tends to point out the deficiency of some opinions claiming simplified presentation of the promise as the act that directly rise obligation for the promisor. Promises, either in the moral or legal sphere, are based on communication and so form an order of dependent steps that indicates their procedural nature. These characteristics may differ to a lesser extent, depending on the legal systems, moral norms of the society and its technical level and its needs. In all these cases, (...) however, the procedural characteristics of promises, especially in conditional promises, as well as the promises in contractual relations, persists. In our analysis we wish to show that the consistent conception of promise has to take into account a step of acceptance. The outcome of this approach relativizes a strong distinction between promise and offer. (shrink)

Plato’s dialogue Parmenides contains the infamous ontological bombshell, the so-called Third Man argument. This argument involves a reductio criticism of the forms, arguing that the reductio premise – roughly, ‘there cannot be any ontological interpenetration between the One and the many’ – is false. The argument intimates that the only way for thought to move beyond the forms is to accept the ‘impossible’ object, the nonsensical One-and-many. This article calls any ontology which accepts this Third Man argument and attempts to (...) answer it on its own terms, ‘material dialectic’. The high-profile debate between John Milbank and Slavoj Žižek in The Monstrosity of Christ brings the relevance of this dialectic into stark relief. Both authors accept the material dialectic and mobilise it toward competing christological theses. Yet it is important to navigate the Third Man argument in such a way as to keep a dyophysite Christology in order to satisfy orthodox theological pressures. I will therefore advance two conclusions: first, that the material dialectic is a valid analytical project; and second, that neither Milbank nor Žižek espouses an orthodox Christology: Milbank’s is monophysite while Žižek’s is patripassian. Following Milbank, I will call the final (dyophysite) corrective the ‘Catholic Žižek’ – only, contra Milbank, it will be the real Catholic Žižek. (shrink)

The paper deals with the possible readings of The Reaper Argument premisses. Some conjectures related to the Stoics’ alleged proof of the argument are discussed.

In “Normative Reasons from a Naturalistic Point of View”, Marko Jurjako explores the foundational concept of normative reasons through the lens of methodological naturalism. Departing from traditional analytic or purely conceptual approaches, this philosophical inquiry navigates the terrain of reasons, rationality, and normativity—concepts with a long philosophical pedigree—within a framework rooted in our understanding of the natural and social world. By aligning the exploration with scientifically based theorizing, the book seeks a synoptic view that bridges the gap between relatively (...) isolated philosophical discussions of the nature of normative reasons and their grounding in human intrapersonal and interpersonal interactions that can be understood and explained by an array of scientifically inspired models. (shrink)

This paper explores the ontology of the beautiful from the standpoint of competing logics, i.e., ways of speaking the Logos. The first is a theo-logic centered on the analogy of being, which uniquely regards reality as Logos—a structured hierarchy of the real, a ‘Who’ rather than a ‘What’—which provides an ontology of beauty as desirable being, and ultimately, the desirable Being. The correct response to reality is thus holiness, the sacral separateness of God imparted to, and thus borrowed by and (...) reflected through, creatures. The competing logic is what Baudrillard calls the simulacral, in which the real is suspended by its own model; the image exposes the poverty of the real and causes it to disappear altogether, revealing a transaesthetics of banality and indifference, a totalizing counterfeit of the real that is beyond real difference, beyond Logos—and therefore beyond structured hierarchy, beyond beauty and ugliness. The simulated real is thus the world of the spectacle, the world as product of consumer gaze. A way to repudiate the simulation, the murderous image, to uncover the real always and already grounding the image is to return to Logos: to emplace the image in a hierarchically relational context within Logos. The upshot is that, when so emplaced, the gaze of the image tells a different story: the world is not one of consumerist spectacle but of mutual self-gifting. Amidst the barbarism of the dislocated consumer ego, we can conscientiously commune with neighbor and turn away from what Augustine termed "fellowship with the demons.". (shrink)

Jedno od najznačajnijih pitanja u filozofiji morala jest predstavljaju li moralni zahtjevi ujedno i razloge za djelovanje prema kojima se trebaju ravnati sve racionalne osobe. Prema jednoj koncepciji, moralni apsolutizam tvrdi da sve racionalne osobe imaju dovoljan razlog da poštuju moralne zahtjeve. Prema tom shvaćanju, moralni relativizam je tvrdnja da neće svi racionalni djelatnici imati dovoljan razlog da poštuju iste moralne zahtjeve. manje je istraženo pitanje što se događa ako pokušamo povezati filozofski naturalizam s pitanjem daju li moralni zahtjevi razloge (...) za djelovanje svim racionalnim djelatnicima. u ovom radu bavimo se potonjim pitanjem. neki autori smatraju da prihvaćanje filozofskog naturalizma nije važno za ovo pi- tanje. Drugi autori smatraju da filozofski naturalizam implicira relativizam u pogledu praktičnih razloga koji nije spojiv s moralnim apsolutizmom. u radu argumentiramo za to da su oba gledišta donekle ispravna. tvrdimo da ako se naturalizam shvati kao ontološka tvrdnja onda se možemo složiti s time da naturalizam ne igra ulogu u razrješenju debate između relativista i apsolutista. međutim, ako se naturalizam shvati kao metodološko gledište, onda smatramo da naturalizam podržava relativizam u pogledu praktičnih razloga, tj. ideju da moralni zahtjevi ne pružaju razloge za djelovanje svim racionalnim djelatnicima. (shrink)

The notion of harm is frequently used in the discussion of the nature of mental disorder. Harm also plays important roles in the prominent diagnostic manuals such as DSM and ICD. Recently, however, Cristina Amoretti and Elisabetta Lalumera have questioned the idea that harm should be a necessary constituent of mental disorders. They argue that the notion of harm is underspecified and potentially leads to false negatives in diagnosing mental disorders. Given that harm plays significant roles in medical diagnosis and (...) treatment indicates that we should be reluctant to remove it as a criterion for deciding whether some condition is a mental disorder. Instead, we argue that harm should be understood in the prudential sense and harm in this sense provides a way of responding to worries raised by Amoretti and Lalumera, while staying true to the conception of harm that is relevant for psychiatric practice. (shrink)

This article aims to show that it is impossible to put Cicero’s testimonies regarding The Fabius Argument in a consistent inferential order. Either we must suppose that additional premises are tacitly assumed in the text or we must com-pare it with other sources, which leads to inconsistencies in the proof’s reconstruction. Cicero’s reconstruction of the progression of the argument has formal shortcomings, and the paper draws attention to some of these deficiencies. He interpreted sources in a revised and intentionally simplified (...) way, with the aim of undermining the views of his opponents, casting them as inconsistent and similar to views held by Diodorus. Rather than being a consistently interpreted argument faithfully transcribed from the Stoic sources, Cicero’s Fabius Argument is ultimately anti-Stoic. (shrink)

The article deals with some current pioneering formal reconstructions and interpretations of the problem well known in antiquity as The Master Argument. This problem is concerning with enrichment of formal logical systems with modal and temporal notions. The opening topic is devoted to reconstruction of Arthur Prior. while the other here included approach to the problem arc mostly reactions. revisions or additions to this one.

The article deals with the question of correct reconstruction of and solutions to the ancient paradoxes. Analyzing one contemporary example of a reconstruction of the so-called Crocodile Paradox, taken from Sorensen’s A Brief History of Paradox, the author shows how the original pattern of paradox could have been incorrectly transformed in its meaning by overlooking its adequate historical background. Sorensen’s quoting of Aphthonius, as the author of a certain solution to the paradox, seems to be a systematic failure since the (...) time of Politiano’s erroneous attributing it to Aphthonius. In the conclusion, the author claims that neglecting the historical background of the ancient paradoxes into account, we are neither able to evaluate their modern interpretations as adequate nor their solutions as successful. (shrink)

In the opening lines of this article it is claimed that history is a discipline taking role as part of unique body of science. The concept of scientific rationality is presented as the criterion of demarcation between science and pseudoscience. From this statement as a starting point, it follows that the methodological grounds for scientific predictions are common for all scientific disciplines. Different aspects of scientific predicting are critically examined: thesis of symmetry, determinism and predictability, indeterminism and predictability, reflexivity of (...) predictions, prediction of novelty and progress, predictions in relation to the time of their uttering, the prediction sketch, truthfulness and regularity in implying prediction, and predictability of human actions. In the concluding section, the author admits of the possibility of constructing the theory of history, opposed to eschatological philosophy of history, as a predictive theory with a scientific basis and a theory whose specifications limit its misuse in practice. (shrink)

The article deals with some items of Gödelian time travel problem well-known as an illustration of a specific kind of causality paradox. Its first part presents “the travel into the past” according to several recent physical hypotheses, which, from theoretical standpoint, seem to make such an idea possible. The familiar concept of backward causation is also discussed; we need to accept and develop it, if we wish to escape this type of time-travel paradoxes. The second part of the contribution is (...) devoted to philosophical interpretations of the precedence in order of cause and effect, and of the relation between temporal and causal order. The author claims, that if we wish to save coherent picture of nature, it is necessary to revise the concept of causality to make it compatible with the concept of backward causation. (shrink)