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.

Attempts to explain behavior genetically face two major problems: the application of the concept of genetic coding and the theoretical possibility of decomposing behavior. This paper argues that using the notion of genetic coding is appropriate in explanations of protein synthesis but inadequate and even misleading in the context of explanations of behavior. Genes should be regarded as disparate components of mechanisms that account for behavior rather than as codes for behavioral phenotypes. Such mechanistic explanations, however, presuppose the possibility of (...) decomposing behavioral phenotypes, which is strongly disputed by researchers holding an interactionist view of behavior. It is argued that these researchers fail to distinguish etiological from constitutive decomposition, and that their objections apply to the former but not to the latter kind. Constitutive decomposition might identify genes as disparate components and open up the possibility of explaining behavior mechanistically by isolating causal paths from genes to behavior. Finally, research on the single gene disorder phenylketonuria is introduced to illustrate and test these views. With respect to this disorder it is demonstrated that applying the concept of genetic coding would be inappropriate and misguiding, while nonetheless the phenotype is decomposable and can be explained mechanistically by singling out a genetic causal path.t is demonstrated that applying the concept of genetic coding would be inappropriate and misguiding, while nonetheless the phenotype is decomposable and can be explained mechanistically by singling out a genetic causal path. (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 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)

In this study, we examine the influence of senior leadership on firms’ corporate social responsibility. We integrate upper echelons research that has investigated either the influence of the CEO or the top management team on CSR. We contend that functional experience complementarity between CEOs and TMTs in formulating and implementing CSR strategy may underlie differentiated strategies in CSR. We find that when CEOs who have predominant experience in output functions are complemented by TMTs with a lower proportion of members who (...) have experience in output functions, there is a pronounced effect on the community, product, and diversity dimensions of CSR. In turn, when output-oriented CEOs are complemented by output-oriented TMTs, we observe an effect on the employee relations dimension of CSR. Interestingly, we find no influence of CEO-TMT complementarity on the environment dimension of CSR. In general, our empirical results support the relevance of the interaction between CEOs and their TMTs in defining their firms’ CSR profile. (shrink)

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)

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)

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)

Risk decisions often appear unsatisfactory after a calamity has taken place. This holds even when they are products of systematic risk analysis. Yet, if relevant considerations available to be known pre-accident were adequately taken into account and safety measures implemented accordingly, nobody seems morally blameworthy. In this paper, I advance a two-way argument. Firstly, I show how analysis of post-accident apologizing sheds new light on vexed tensions in ethical assessment of risk impositions. This amounts to exposing conflicting moral intuitions in (...) risk decisions, discussing problematic tenets in risk analysis as well as outlining three lines of arguments that destabilize the very notion of correct risk analysis. The analysis indicates that bringing different discussions of moral blameworthiness together facilitates resolving the tensions. It also calls for further and early-on collaboration between risk theorists and ethicists in order to carry these insights to risk analysis. Secondly, I argue that analysis of risk decisions, in part, reveals a discrepancy between the definitional work done on apology and what is required by ethics. Virtually every suggestion for the gold standard for apology involves moral blameworthiness as a necessary condition. I highlight different kinds of cases in which nobody is culpable, but an apology can be morally fitting or required. It would be nonsensical to say that, in these cases, one ought to apologize, but in a disingenuous manner. (shrink)

Political extremism remains relatively insufficiently explored due to the fact that the phenomenon is controversial and hard to define. Its ambiguity and variability depending on time and spatial point of view further complicates its definition. Its structure is amorphous and eclectic as it often includes elements from different ideologies and connects incompatible ideas. A multidimensional conceptualization and an interdisciplinary approach - sociological, social, psychological and historical, are the Author’s tools in explaining the phenomenon of political extremism in Serbia, hopefully contributing (...) to its clarification and laying a foundation for its further explanatory theoretical studies. (shrink)

Abstract.Evolutionary psychology and behavioural genomics are both approaches to explain human behaviour from a genetic point of view. Nonetheless, thus far the development of these disciplines is anything but interdependent. This paper examines the question whether evolutionary psychology can contribute to behavioural genomics. Firstly, a possible inconsistency between the two approaches is reviewed, viz. that evolutionary psychology focuses on the universal human nature and disregards the genetic variation studied by behavioural genomics. Secondly, we will discuss the structure of biological explanations. (...) Some philosophers rightly acknowledge that explanations do not involve laws which are exceptionless and universal. Instead, generalisations that are invariant suffice for successful explanation as long as two other stipulations are recognised: the domain within which the generalisation has no exceptions as well as the distribution of the mechanism described by the generalisation should both be specified. It is argued that evolutionary psychology can contribute to behavioural genomic explanations by accounting for these two specifications. (shrink)

Motivated by the analogy which holds within the context of discovery between mathematics and physics, we aim to show that there is a connection between two fields within the context of justification too. Based on the careful analysis of examples from science (especially within the domain of physics) we suggest that the logic of scientific research, which might appear as enumerative induction, is deduction, and we propose it to be universal generalization inference rule. Our main argument closely follows the analysis (...) of the structure of physical theory proposed by theoretical physicist Eugene P. Wigner. (shrink)

We provide a novel Bayesian justification of inference to the best explanation. More specifically, we present conditions under which explanatory considerations can provide a significant confirmatory boost for hypotheses that provide the best explanation of the relevant evidence. Furthermore, we show that the proposed Bayesian model of IBE is able to deal naturally with the best known criticisms of IBE such as van Fraassen?s?bad lot? argument.

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)

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.

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 response to Albrecht et al.’s (J Agric Environ Ethics 26(4):827–845, 2013) discussion on the ethics of assisted migration, we emphasize the issues of risk and scientific uncertainty as an inextricable part of a comprehensive ethical evaluation. Insisting on a separation of risk and ethical considerations, although arguably common in many policy contexts, is at best misguided and at worst damaging.

The SynBioSecurity argument says that synthetic biology introduces new risks of intentional misuse of synthetic pathogens and that, therefore, there is a need for extra regulations and oversight. This paper provides an analysis of the argument, sets forth a new version of it, and identifies three developments that raise biosecurity risks compared to the situation earlier. The developments include a spread of the required know-how, improved availability of the techniques, instruments and biological parts, and new technical possibilities such as “resurrecting” (...) disappeared pathogens. It is first shown that the general argument from SynBioSecurity needs to be qualified and that many improvements to biosecurity have already been implemented, most notably in the United States. Second, I suggest a new strain of the argument: the situation that most branches of synthetic biology fall under the gene technology regulation in the European Union and that this regulation in its current form does not adequately address SynBioSecurity risks together provide a weighty reason to review and possibly refine the legislation as well as the supervisory practices. Ethically speaking, the rise in the relative risk of bioterrorism brings to the fore new extrinsic issues. (shrink)

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)

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

: One of the outcomes from low self-confidence of basketball is aggressive behavior. Helpless feeling caused by low self-confidence could turn an athlete using aggressive behavior as alternate behavior in the interaction with the opponent during a game. The level of the aggression can be seen in the injury rate in that particular sport. This research objective is to find out the relation between self-confidence and the appearance of the aggressive behavior in basketball player. It involves 64 athletes in West (...) Jakarta between 17 to 28 years old. Data that was measured by questionnaires has shown there is a negative association between self-confidence and aggressive behavior in basketball athlete.  . (shrink)

The article explores the specific conception of art developed by Danko Grlić, a prominent member of the Yugoslav Praxis School. Grlić conceptualised art beyond both aesthetic norms and technological determinism. Within the context of praxis philosophy, a distinct theory of the subject and a Marxist humanist approach, he reconceptualised art as a distinct type of praxis, a revolutionary and creative practice of changing existing living conditions. The article explains how his unique understanding of art leads Grlić to analyse, criticise and (...) refute various Marxist approaches to art: art as an ideology, art as a reflection of the objective world, art as sociological analysis. Moreover, while sharing many ideas and conceptions with Walter Benjamin’s materialist conception of art, Grlić reached the point where he became critical due to Benjamin’s belief in technology concerning processes of emancipation, which Grlić viewed with scepticism. (shrink)

This paper deals with the problem of the subject in Bachelard?s concept of surrationalism. Focusing on the epistemological character of surrational creativity, the issue of the subject is approached through the analysis of the relationship between subjectivity and objectivity in the surrational act. Comparing the character of novelty in surrealism and surrationalism, the paper introduces Bachelard?s distinction between formal and material imagination, with the latter further discussed through the prepositions?against? [contre] and?in? [dans]. Bachelard?s theory of the internal dialectic - the (...) theory of subdivision of the subject - is analyzed through his concept of reverie. The last chapter deals with the dialectic between the apodictic and the assertoric subject, aiming to reconsider the idea of interiority and repose. (shrink)

In this new book, Marko Zlomislić argues that Slavoj Žižek's work does not contain any sort of radical emancipatory project, especially as it passes through the ideology of communism and Lacanian psychoanalysis. The evidence for the failure of communism is vast and includes the more than six hundred mass graves recently located in Žižek's homeland of Slovenia. Zlomislić demonstrates that the way out of the capitalist dilemma is not a repetition of communism but a return to the late medieval (...) notion of haecceity or "individual thisness" that was rejected by modernity. Haecceity, or the indescribable and indefinite here and now of the person, shows that the late medieval Franciscans were already "postmodernists." It is no wonder that the totalitarianism of the modernist Hegel is embraced by thinkers such as Žižek, Badiou, Hardt, Negri, and Laclau and was already rejected by Leibnitz, Kierkegaard, Nietzsche, Levinas, Deleuze, and Derrida. This important book shows that Žižek's work must be rejected because it does not uphold the dignity, worth, and uniqueness of the person. (shrink)

In their 2010 paper, Dizadji-Bahmani, Frigg, and Hartmann argue that the generalized version of the Nagel–Schaffner model that they have developed is the right one for intertheoretic reduction, i.e. the kind of reduction that involves theories with largely overlapping domains of application. Drawing on the GNS, DFH presented a Bayesian analysis of the confirmatory relation between the reducing theory and the reduced theory and argued that, post-reduction, evidence confirming the reducing theory also confirms the reduced theory and evidence confirming the (...) reduced theory also confirms the reducing theory, which meets the expectations one has about theories with largely overlapping domains. In this paper, I argue that the Bayesian analysis presented by DFH faces difficulties. In particular, I argue that the conditional probabilities that DFH introduce to model the bridge law entail consequences that run against the GNS. However, I also argue that, given slight modifications of the analysis that are in agreement with the GNS, one is able to account for these difficulties and, moreover, one is able to more rigorously analyse the confirmatory relation between the reducing and the reduced theory. (shrink)

This paper spells out and discusses four assumptions of the deficit model type of thinking. The assumptions are: First, the public is ignorant of science. Second, the public has negative attitudes towards (specific instances of) science and technology. Third, ignorance is at the root of these negative attitudes. Fourth, the public’s knowledge deficit can be remedied by one-way science communication from scientists to citizens. It is argued that there is nothing wrong with ignorance-based explanations per se. Ignorance accounts at least (...) partially for many cases of opposition to specific instances of science and technology. Furthermore, more attention needs to be paid to the issue of relevance. In regard to the evaluation of a scientific experiment, a technology, or a product, the question is not only who knows best?, but also what knowledge is relevant and to what extent?. Examples are drawn primarily from the debate on genetic engineering in agriculture. (shrink)

We prove, by a probabilistic argument, that a class of ω-categorical structures, on which algebraic closure defines a pregeometry, has the finite submodel property. This class includes any expansion of a pure set or of a vector space, projective space or affine space over a finite field such that the new relations are sufficiently independent of each other and over the original structure. In particular, the random graph belongs to this class, since it is a sufficiently independent expansion of an (...) infinite set, with no structure. The class also contains structures for which the pregeometry given by algebraic closure is non-trivial. (shrink)

In an intriguing but neglected passage in the Transcendental Deduction, Kant appears to link the synthetic activity of the understanding in experience with the phenomenon of attention (B156-7n). In this paper, we take up this hint, and draw upon Kant's remarks about attention in the Anthropology to shed light on the vexed question of what, exactly, the understanding's role in experience is for Kant. We argue that reading Kant's claims about synthesis in this light allows us to combine two aspects (...) of Kant's views that many commentators have thought are in tension with one another: on the one hand, Kant's apparent commitment to naïve realism about perception and, on the other, his apparent commitment to the necessity of synthetic activity by the understanding for any kind of cognitive contact with external objects. (shrink)

Recently it has been argued that certain neuropsychological findings on the decision-making, instrumental learning, and moral understanding in psychopathic offenders offer reasons to consider them not criminally responsible, due to certain epistemic and volitional impairments. We reply to this family of arguments, that collectively we call the irresponsibility of the psychopath argument. This type of argument has a premise that describes or prescribes the deficiencies that grant or should grant partial or complete criminal exculpation. The other premise contends that neuropsychological (...) evidence shows that psychopaths have incapacitates that are sufficient to ascribe complete or partially exculpatory deficiencies. The focus of our criticism is this latter premise. We argue that it requires that psychopathy should correlate significantly with certain rational incapacities that manifest across contexts. We show that the available neuropsychological data do not support the claim that psychopaths have such general exculpatory incapacities. (shrink)

MIRJAM HORN, POSTMODERN PLAGIARISMS: CULTURAL AGENDA AND AESTHETIC STRATEGIES OF APPROPRIATION IN US-AMERICAN LITERATURE, WALTER DE GRUYTER, BERLIN/BOSTON, 2015.Marko Bogunović.

The aim of this work is to show, first of all, how landscape cannot but stand out on the horizon of a cognitive flux that affects every aspect of our being in the world (or, better said, of our being in the world) world). A special role will be reserved for aesthetic mediation, to be understood as a n act that regulates the epistemic negotiation between what is in the center and what is ”in the surroundings”. In this sense, the (...) work will start from bio cognitive assumptions on the species specific ways in which an organism circumscribes and enriches its world, and will then finally arrive at considerations that should, in our hopes, demonstrate how aisthesis is, in fact, the conceptual category that best lends itself to describing this process, in virtue of the particular gnoseological value it assigns to the se nsitive body and its extension extension. (shrink)

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)

The article is a summary of recent experimental data on anchoring heuristic and models that seek to explain it. Anchoring heuristic represents one of the mechanisms of decision making in situations of limited information or time, by using a comparison standard called – an anchor. Given the supposed wide usage of this heuristic, authors explore the unconscious character of the heuristic and ways of making its biasing effects less prominent. Apart from the standard experimental design in which anchor is directly (...) connected to the judgment in question, evidence shows that people can be anchored indirectly, even when the anchor is perceived unconsciously. Newest data show that anchoring effect should be explained by two distinct processes. In the concluding remarks, authors consider broader implications of anchoring for the field of social cognition.U članku se opisuju noviji eksperimentalni nalazi vezani uz heuristiku sidrenja kao i modeli koji ih objašnjavaju. Heuristika sidrenja označava jedan od načina na koji ljudi donose odluke u nedostatku informacija i/ili vremena, a podrazumijeva korištenje standarda usporedbe kako bi se došlo do željene procjene. S obzirom na pretpostavljenu široku upotrebu ove heuristike, u članku se istražuju teoretska objašnjenja, razjašnjavaju razlozi zbog kojih je utjecaj te heuristike nedostupan svijesti te kako umanjiti njome izazvanu pristranost u razmišljanju. Osim standardnog nacrta kojim se ispituje ovaj fenomen opisani su i dokazi prema kojima sidro može vršiti svoj utjecaj i kad se ne dovodi u direktnu vezu s procjenom, čak i kada je percipirano nesvjesnim putem. Najnoviji skup istraživanja pak pokazuje da se heuristika sidrenja, prvotno zamišljena kao jedinstveni mehanizam, zapravo može podijeliti na dva bitno različita procesa. Zaključno se razmatraju kakve bi implikacije ovaj razvoj u istraživanjima mogao imati za područje socijalne kognicije općenito. (shrink)