Table of Contents Foreword .................................................................................................... ......................................... xiv Preface .................................................................................................... .............................................. xv Acknowledgment .................................................................................................... .......................... xxiii Section 1 On the Cusp: Critical Appraisals of a Growing Dependency on Intelligent Machines Chapter 1 Algorithms versus Hive Minds and the Fate of Democracy ................................................................... 1 Rick Searle, IEET, USA Chapter 2 We Can Make Anything: Should We? .................................................................................................. 15 Chris Bateman, University of Bolton, UK Chapter 3 Grounding Machine Ethics within the Natural System ........................................................................ 30 Jared Gassen, JMG Advising, USA Nak Young Seong, Independent Scholar, South (...) Korea Section 2 From the Outside In: Intelligent Machine Technologies as a Window on Human Morality both as Evolved and as Evident in Internet Discourse, Today Chapter 4 The Emergence of Arti cial Autonomy: A View from the Foothills of a Challenging Climb ............. 51 Fernando da Costa Cardoso, Universidade Nova de Lisboa, Portugal Luís Moniz Pereira, Universidade Nova de Lisboa, Portugal Chapter 5 Semantic Analysis of Bloggers Experiences as a Knowledge Source of Average Human Morality .... 73 Rafal Rzepka, Hokkaido University, Japan Kenji Araki, Hokkaido University, Japan Section 3 From the Inside Out: The Ethics of Human Enhancement from Moral Perception to Competition in the Workplace Chapter 6 Machine Ethics Interfaces: An Ethics of Perception of Nanocognition ............................................... 97 Melanie Swan, Kingston University, UK Chapter 7 Ethical Concerns in Human Enhancement: Advantages in Corporate/Organizational Settings ......... 124 Ben Tran, Alliant International University, USA Section 4 From Far to Near and Near to Far: The Ethics of Distancing Technologies in Education and Warfare Chapter 8 Responsibility and War Machines: Toward a Forward-Looking and Functional Account ................. 152 Jai Galliott, Macquarie University, Australia Chapter 9 Ethical Responsibilities of Preserving Academicians in an Age of Mechanized Learning: Balancing the Demands of Educating at Capacity and Preserving Human Interactivity ................... 166 James E. Willis III, Indiana University, USA Viktoria Alane Strunk, Independent Scholar, USA Section 5 Wrapping Things Up, then Unwrapping Them Again: Integral Visions of Morality in a Technological World, Over Evolutionary Time, with Revolutionary Means, and with Open Questions about the Final Purpose of It All Chapter 10 Bridging Two Realms of Machine Ethics ........................................................................................... 197 Luís Moniz Pereira, Universidade Nova de Lisboa, Portugal Ari Saptawijaya, Universidade Nova de Lisboa, Portugal & Universitas Indonesia, Indonesia Chapter 11 Robots in Warfare and the Occultation of the Existential Nature of Violence ................................... 225 Rick Searle, IEET, USA Chapter 12 Self-Referential Complex Systems and Aristotle’s Four Causes ........................................................ 239 Aleksandar Malecic, University of Nis, Serbia Related References .................................................................................................... ........................ 261 Compilation of References .................................................................................................... ........... 292 About the Contributors .................................................................................................... ................ 325 Index .................................................................................................... ............................................... 329 . (shrink)

L’osservazione della natura con l’intento di capire l’origine della varietà di forme e fenomeni in cui si manifesta ha origini remote. All’inizio il rapporto con i fenomeni naturali era dominato da sentimenti quali paura e stupore che conducevano a supporre l’esistenza di entità sfuggenti alla percezione diretta che permeavano gli elementi animandoli. Ecco dunque che la magia rappresenta l’elemento dominante della filosofia naturale primitiva caratterizzata da una unicità degli eventi e dalla impossibilità di capirli e dominarli in quanto frutto della (...) volontà di essenze a noi estranee e non governabili. Con il nascere della civiltà ed il suo progredire il tempo dedicato ai lavori necessari per il sostentamento e la sopravvivenza diminuì e nella ripartizione dei compiti alcuni individui potevano dedicare parte del loro tempo alla osservazione della natura ed alla sua interpretazione in termini non trascendenti. Nella natura, intesa come tutto ciò che ci circonda composto da esseri viventi e da materia inorganica nelle sua varie aggregazioni sulla terra e nel cosmo, ciò che attirò l’attenzione fin dall’inizio furono furono i fenomeni regolari e periodici come i moti della luna, dei pianeti e delle stelle. Nel contempo dopo una spinta iniziale dettata da esigenze pratiche come contare gli oggetti o misurare i campi, la matematica si era sviluppata autonomamente e si rivelò idonea a descrivere in termini quantitativi i moti dei corpi celesti. La terra era al centro dell’universo mentre il moto degli altri corpi celesti risultava da una composizione di moti circolari uniformi. Questa visione geocentrica e pitagorica (armonia delle sfere) dell’universo ha prevalso fino agli albori della scienza moderna, anche se una descrizione eliocentrica, basata su validi argomenti, era stata proposta. Per quanto riguarda la struttura della materia i presocratici avevano già proposto i quattro elementi mentre gli atomisti avevano ricondotto tutto ad entità elementari primigenie, il cui aggregarsi e disgregarsi da luogo a tutti gli stati e le molteplici forme della materia. Queste intuizioni si ritrovano nella fisica moderna che contempla quattro stati di aggregazione, che hanno come unico sostrato comune gli atomi. La fisica moderna nasce con Galileo e Newton, la cui dinamica si sviluppa a partire dalle leggi di Keplero che descrivono il moto dei pianeti nel sistema eliocentrico, per potersi poi applicare ad un qualunque sistema materiale. Pertanto nei due secoli successivi si ritenne che un modello meccanico potesse essere sviluppato per un qualunque sistema fisico e quindi per l’universo intero la cui evoluzione doveva essere matematicamente prevedibile. Per i fenomeni termici tuttavia vennero formulate leggi ad hoc come quelle della termodinamica che mostrano come i processi macroscopici siano irreversibili in contrasto con le leggi della meccanica. Si deve a Boltzmann1 il tentativo di ricondurre la termodinamica alla meccanica per un gran numero di particelle dei cui moti disordinati viene data una lettura di carattere statistico. L’aumento della entropia e la irreversibilità seguono dalla ipotesi di caos molecolare ossia che i moti siano così disordinati che si perde rapidamente memoria dello stato iniziale. L’idea di introdurre una misura di probabilità nel contesto della meccanica sembra antitetica con la natura stessa della teoria rivolta fino ad allora allo studio di sistemi con moti regolari, reversibili e prevedibili individualmente su tempi lunghi. Tuttavia l’analisi probabilistica diventa essenziale per lo studio di sistemi caratterizzati da forti instabilità, e da orbite irregolari per i quali la previsione richiede una conoscenza della condizioni iniziali con precisioni fisicamente non raggiungibili. Combinando la evoluzione deterministica della meccanica di Newton o di Hamilton con la descrizione statistica attraverso una opportuna misura invariante di probabilità nello spazio delle fasi, nasce la teoria dei sistemi dinamici2 che consente di descrivere non solo i sistemi ordinati o i sistemi caotici ma anche tutti quelli che vedono coesistere in diverse proporzioni ordine e caos e che presentano una straordinaria varietà di strutture geometriche e proprietà statistiche, tanto da fornire almeno se non proprio un quadro teorico per lo meno metafore utili per la descrizione dei sistemi complessi. Anche se non c’è unanime consenso ci sembra appropriato definire complessi non tanto sistemi caratterizzati da interazioni non lineari tra i suoi componenti e da proprietà emergenti, che rientrano a pieno titolo nel quadro dei sistemi dinamici, ma piuttosto i sistemi viventi o quelli di vita artificiale che ne condividono le proprietà essenziali3. Tra queste possiamo certamente annoverare la capacità di gestire la informazione e di replicarsi, consentendo tramite un meccanismo di mutazione e selezione di dare origine a strutture di crescente ricchezza strutturale e dotate di capacità cognitive sempre più elaborate. Una teoria dei sistemi complessi non esiste ancora, anche se la teoria degli automi sviluppata da Von Neumann4 e la teoria della evoluzione di Darwin5 ne possono fornire alcuni pilastri importanti. Recentemente la teoria delle reti è stata utilizzata con successo per descrivere le proprietà statistiche delle connessioni tra gli elementi costitutivi (nodi) di un sistema complesso6. Le connessioni che non sono né completamente casuali né completamente gerarchiche, consentono una sufficiente robustezza rispetto a malfunzionamenti o danneggiamenti dei nodi unita a un adeguato livello di organizzazione per consentirne un funzionamento efficiente. Nei sistemi fisici il modello base è un insieme di atomi o molecole interagenti, che danno luogo a strutture diverse quali un gas, un liquido o un cristallo, come risultato di proprietà emergenti. Nello stesso modo per i sistemi complessi possiamo proporre un sistema automi interagenti come modello base. Le molteplici forme che il sistema assume anche in questo caso vanno considerate come proprietà emergenti del medesimo sostrato al mutare delle condizioni esterne e frutto delle i replicazioni, ciascuna delle quali introduce piccole ma significative varianti. Questa è la grande differenza tra un sistema fisico ed un sistema complesso: il primo fissate le condizioni esterne ha sempre le medesime proprietà, il secondo invece cambia con il fluire del tempo perché la sua organizzazione interna muta non solo al cambiare di fattori ambientali ma anche con il succedersi delle generazioni. C’è dunque un flusso di informazione che cresce con il tempo e che consente agli automi costituenti ed alla intera struttura di acquisire nuove capacità. Questo aumento di ordine e ricchezza strutturale avviene naturalmente a spese dell’ambiente circostante, in modo che globalmente i la sua entropia cresce in accordo con la seconda legge della termodinamica. In assenza di una teoria formalizzata paragonabile a quella dei sistemi dinamici, per i sistemi complessi si possono fare osservazioni e misure, sia puntuali sui costituenti elementari e sulle loro connessioni, sia globali sull’intero sistema, oppure costruire modelli suscettibili di essere validati attraverso la simulazione. Se di un sistema si riesce infatti a fornire una descrizione sufficientemente dettagliata, è poi possibile osservare come questo si comporti traducendo le regole in algoritmi e costruendo quindi una versione virtuale, anche se semplificata del sistema stesso. Il passaggio più difficile è il confronto tra il sistema simulato ed il sistema vero, che passa necessariamente attraverso la valutazione di una numero limitato di parametri che ne caratterizzino e proprietà. La codifica del progetto è una proprietà cruciale dei sistemi complessi perché questa si realizza con un dispendio di massa ed energia incomparabilmente più piccolo rispetto a quello necessario per realizzare l’intera struttura; nello stesso tempo apportare piccole modifiche ad un progetto è rapido ed economico. In questo processo che comporta la continua introduzione di varianti si aprono molteplici strade e con lo scorrere del tempo si realizza una storia in modo unico e irripetibile. Anche il susseguirsi di eventi fisici caratterizzati da processi irreversibili e dalla presenza di molteplici biforcazioni da origine ad una storia che non si può percorrere a ritroso, né riprodurre qualora fossimo in grado ripartire dalle stesse condizioni iniziali. Tuttavia esiste una differenza profonda tra la storia di un sistema fisico come il globo terrestre e la storia della vita. La prima registra i molteplici cambiamenti che ha subito la superficie del nostro pianeta ove montagne e mari nascono e scompaiono senza un chiaro disegno soggiacente. La storia della vita è caratterizzata da una progressiva crescita della ricchezza strutturale e funzionale e accompagnata da una crescita della complessità progettuale. La rappresentazione di questa storia prende la forma di un albero con le sue ramificazioni che mostra la continua diversificazione delle strutture e la loro evoluzione verso forme sempre più avanzate. La direzione in cui scorre il tempo è ben definita: le strutture affinano le capacità sensoriali mentre cresce la potenza degli organi che elaborano la informazione. Un sistema complesso è anche caratterizzato da un molteplicità di scale, tanto più alta quanto più si sale sulla scala evolutiva. La ragione è che il procedere verso strutture sempre più elaborate avviene utilizzando altre strutture come mattoni per cui l’immagine che si può fornire è quella di una rete di automi a più strati: partendo dal basso una rete con le sue proprietà emergenti diventa il nodo di una rete di secondo livello, cioè un automa di secondo livello che interagisce con altri automi dello stesso tipo e così via. Nei sistemi inorganici, dove non esiste un progetto, si distinguono di norma solo due livelli, quello dei costituenti elementari e quello su scala macroscopica. I sistemi fisici sono riconducibili a poche leggi universali, che governano i costituenti elementari della materia, ma il passaggio dalla descrizione dalla piccola alla grande scala è impervio e consentito soltanto dalla simulazione numerica, quando ci allontaniamo dalle situazioni più semplici caratterizzate da un equilibrio statistico. I limiti che il disegno riduzionista incontra già per i sistemi fisici diventano decisamente più forti nel caso dei sistemi complessi. (shrink)

The philosophical study of well-being concerns what makes lives good for their subjects. It is now standard among philosophers to distinguish between two kinds of well-being: - lifetime well-being, i.e., how good a person's life was for him or her considered as a whole, and - temporal well-being, i.e., how well off someone was, or how they fared, at a particular moment in time or over a period of time longer than a moment but shorter than a whole life, say, (...) a day, month, year, or chapter of a life. Many theories have been offered of each of these kinds of well-being. A common view is that lifetime well-being is in some way constructed out of temporal well-being. This book argues that much of this literature is premised on a mistake. Lifetime well-being cannot be constructed out of temporal well-being, because there is no such thing as temporal well-being. The only genuine kind of well-being is lifetime well-being. The Passing of Temporal Well-Being will prove essential reading for professional philosophers, especially in moral and political philosophy. It will also be of interest to welfare economists and policy-makers who appeal to well-being. (shrink)

In “What’s So Bad about Scientism?” (Mizrahi 2017), I argue that Weak Scientism, the view that “Of all the knowledge we have, scientific knowledge is the best knowledge” (Mizrahi 2017, 354; emphasis in original) is a defensible position. That is to say, Weak Scientism “can be successfully defended against objections” (Mizrahi 2017, 354). In his response to Mizrahi (2017), Christopher Brown (2017) provides more objections against Weak Scientism, and thus another opportunity for me to show that Weak Scientism is a (...) defensible position, which is what I will do in this reply. In fact, I think that I have already addressed Brown’s (2017) objections in Mizrahi (2017), so I will simply highlight these arguments here. (shrink)

In my (2017a), I defend a view I call Weak Scientism, which is the view that knowledge produced by scientific disciplines is better than knowledge produced by non-scientific disciplines. Scientific knowledge can be said to be quantitatively better than non-scientific knowledge insofar as scientific disciplines produce more impactful knowledge–in the form of scholarly publications–than non-scientific disciplines (as measured by research output and research impact). Scientific knowledge can be said to be qualitatively better than non-scientific knowledge insofar as such knowledge is (...) explanatorily, instrumentally, and predictively more successful than non-scientific knowledge. Brown (2017a) raises several objections against my defense of Weak Scientism and I have replied to his objections (Mizrahi 2017b), thereby showing again that Weak Scientism is a defensible view. Since then, Brown (2017b) has reiterated his objections in another reply on SERRC. In this paper, I respond to Brown's objections, thereby showing once more that Weak Scientism is a defensible view. (shrink)

More than 50 years after the publication of Thomas Kuhn’s seminal book, The Structure of Scientific Revolutions, this volume assesses the adequacy of the Kuhnian model in explaining certain aspects of science, particularly the social and epistemic aspects of science. One argument put forward is that there are no good reasons to accept Kuhn’s incommensurability thesis, according to which scientific revolutions involve the replacement of theories with conceptually incompatible ones. Perhaps, therefore, it is time for another “decisive transformation in the (...) image of science by which we are now possessed.” Only this time, the image of science that needs to be transformed is the Kuhnian one. Does the Kuhnian image of science provide an adequate model of scientific practice? If we abandon the Kuhnian picture of revolutionary change and incommensurability, what consequences would follow from that vis-à-vis our understanding of scientific knowledge as a social endeavour? -/- The essays in this collection continue this debate, offering a critical examination of the arguments for and against the Kuhnian image of science as well as their implications for our understanding of science as a social and epistemic enterprise. (shrink)

Bernard Wills (2018) joins Christopher Brown (2017, 2018) in criticizing my defense of Weak Scientism (Mizrahi 2017a, 2017b, 2018a). Unfortunately, it seems that Wills did not read my latest defense of Weak Scientism carefully, nor does he cite any of the other papers in my exchange with Brown.

In his latest attack, even though he claims to be a practitioner of “close reading” (Wills 2018b, 34), it appears that Wills still has not bothered to read the paper in which I defend the thesis he seeks to attack (Mizrahi 2017a), or any of the papers in my exchange with Brown (Mizrahi 2017b; 2018a), as evidenced by the fact that he does not cite them at all. This explains why Wills completely misunderstands Weak Scientism and the arguments for the (...) quantitative superiority (in terms of research output and research impact) as well as qualitative superiority (in terms of explanatory, predictive, and instrumental success) of scientific knowledge over non-scientific knowledge. (shrink)

This article offers a normative analysis of some of the most controversial incidents involving police—what I call police-generated killings. In these cases, bad police tactics create a situation where deadly force becomes necessary, becomes perceived as necessary, or occurs unintentionally. Police deserve blame for such killings because they choose tactics that unnecessarily raise the risk of deadly force, thus violating their obligation to prioritize the protection of life. Since current law in the United States fails to ban many bad tactics, (...) police- generated killings often are treated as “lawful but awful.” To address these killings, some call on changes to departmental policies or voluntary reparations by local governments, yet such measures leave in place a troubling gap between ethics and law. I argue that police-generated killings merit legal sanctions by appealing to a relevant analogy: self-generated self-defense, where the person who engages in self-defense started the trouble. The persistent lack of accountability for police-generated killings threatens life, police legitimacy, and trust in democratic institutions. The article closes by identifying tools in law and policy to address this challenge. (shrink)

In this article, I argue that arguments from the history of science against scientific realism, like the arguments advanced by P. Kyle Stanford and Peter Vickers, are fallacious. The so-called Old Induction, like Vickers's, and New Induction, like Stanford's, are both guilty of confirmation bias—specifically, of cherry-picking evidence that allegedly challenges scientific realism while ignoring evidence to the contrary. I also show that the historical episodes that Stanford adduces in support of his New Induction are indeterminate between a pessimistic and (...) an optimistic interpretation. For these reasons, these arguments are fallacious, and thus do not pose a serious challenge to scientific realism. (shrink)

According to the Ought-Implies-Can principle (OIC), an agent ought to perform a certain action only if the agent can perform that action. Proponents of OIC interpret this supposed implication in several ways. Some argue that the implication in question is a logical one, namely, entailment. Some think that the relation between ‘ought’ and ‘can’ is a relation of presupposition. Still others argue that ‘ought’ conversationally implicates ‘can’. Opponents of OIC offer a variety of counterexamples in an attempt to show that (...) there are cases in which an agent ought to perform a certain action even though she cannot perform that action. Such counterexamples often involve either culpable or nonculpable inability. In cases of culpable inability, the agent renders herself unable to fulfill an obligation. For example, a student is unable to submit a paper on the due date because she procrastinated until it became too late to write a paper by the assigned deadline. In cases of non-culpable inability, the agent somehow becomes unable to fulfill an obligation, through no fault of her own. For example, an agent becomes unable to pay back a loan to a bank because she was robbed on her way to the bank. This paper attempts to offer counterexamples to OIC of a sort different from the one discussed by opponents of OIC so far. If these counterexamples are correct, then they seem to suggest that there are cases in which an agent has an obligation to perform an action even though she may not be able to perform that action, and thus OIC is false. In other words, ‘ought’ does not imply ‘can’. (shrink)

It is often said that ‘every logical truth is obvious’ (Quine 1970: 82), that the ‘axioms and rules of logic are true in an obvious way’ (Murawski 2014: 87), or that ‘logic is a theory of the obvious’ (Sher 1999: 207). In this chapter, I set out to test empirically how the idea that logic is obvious is reflected in the scholarly work of logicians and philosophers of logic. My approach is data-driven. That is to say, I propose that systematically (...) searching for patterns of usage in databases of scholarly works, such as JSTOR, can provide new insights into the ways in which the idea that logic is obvious is reflected in logical and philosophical practice, i.e., in the arguments that logicians and philosophers of logic actually make in their published work. (shrink)

In this paper, I argue that appeals to intuition are strong arguments just in case there is an agreement among the relevant philosophers concerning the intuition in question. Otherwise, appeals to intuition are weak arguments.

Experimental philosophers have challenged friends of the expertise defense to show that the intuitive judgments of professional philosophers are different from the intuitive judgments of nonphilosophers, and the intuitive judgments of professional philosophers are better than the intuitive judgments of nonphilosophers, in ways that are relevant to the truth or falsity of such judgments. Friends of the expertise defense have responded by arguing that the burden of proof lies with experimental philosophers. This article sketches three arguments which show that both (...) and are probably false. If its arguments are cogent, then shifting the burden of proof is a futile move, since philosophical training makes no difference so far as making intuitive judgments in response to hypothetical cases is concerned. (shrink)

In this article, I present a schema for generating counterexamples to the argument form known as Hypothetical Syllogism with indicative conditionals. If my schema for generating counterexamples to HS works as I think it does, then HS is invalid for indicative conditionals.

In this paper, I argue that the “Ought Implies Can” (OIC) principle, as it is employed in epistemology, particularly in the literature on epistemic norms, is open to counterexamples. I present a counterexample to OIC and discuss several objections to it. If this counterexample works, then it shows that it is possible that S ought to believe that p, even though S cannot believe that p. If this is correct, then OIC, considered from an epistemic point of view, is false, (...) since it is supposed to hold for any S and any p. (shrink)

In this paper, I discuss an argument for the existence of God known as “The Argument from the Survival of the Jews.” This argument has the form of an Inference to the Best Explanation (IBE). It proceeds from the phenomenon of Jewish survival to the existence of God as the best explanation for this phenomenon. I will argue that, even if we grant that Jewish survival is a remarkable occurrence that demands an explanation, and even if we gloss over the (...) difficulties in defining the terms “Jewish” and “survive,” the argument ultimately fails as an argument for the existence of God. It fails because it postulates divine supervision in order to explain Jewish endurance, but it doesn’t provide any clues as to what might be the underlying mechanism at work. (shrink)

In this paper, I argue that appeals to intuition are weak arguments because intellectual intuition is an unreliable belief-forming process, since it yields incompatible verdicts in response to the same cases, and since the inference from 'It seems to S that p' to 'p' is unreliable. Since the reliability of intellectual intuition is a necessary condition for strong appeals to intuition, it follows that appeals to intuition are weak arguments.

In their reviews of The Kuhnian Image of Science: Time for a Decisive Transformation? (2018), both Markus Arnold (2018) and Amanda Bryant (2018) complain that the contributors who criticize Kuhn’s theory of scientific change have misconstrued his philosophy of science and they praise those who seek to defend the Kuhnian image of science. In what follows, then, I would like to address their claims about misconstruing Kuhn’s theory of scientific change. But my focus here, as in the book, will be (...) the evidence (or lack thereof) for the Kuhnian image of science. I will begin with Arnold’s review and then move on to Bryant’s review. (shrink)

In this paper, I argue that there is a kind of evil, namely, the unequal distribution of natural endowments, or natural inequality, which presents theists with a new evidential problem of evil. The problem of natural inequality is a new evidential problem of evil not only because, to the best of my knowledge, it has not yet been discussed in the literature, but also because available theodicies, such the free will defense and the soul-making defense, are not adequate responses in (...) the face of this particular evil, or so I argue. (shrink)

In this paper, I sketch an answer to the question “Why be an intellectually humble philosopher?” I argue that, as far as philosophical argumentation is concerned, the historical record of Western Philosophy provides a straightforward answer to this question. That is, the historical record of philosophical argumentation, which is a track record that is marked by an abundance of alternative theories and serious problems for those theories, can teach us important lessons about the limits of philosophical argumentation. These lessons, in (...) turn, show why philosophers should argue with humility. (shrink)

In this paper, I argue that, as far as Gettier cases are concerned, appearances are deceiving. That is, Gettier cases merely appear to be cases of epistemic failure (i.e., failing to know that p) but are in fact cases of semantic failure (i.e., failing to refer to x). Gettier cases are cases of reference failure because the candidates for knowledge in these cases contain ambiguous designators. If this is correct, then we may simply be mistaking semantic facts for epistemic facts (...) when we consider Gettier cases. This, in turn, is a good reason not to assign much, if any, evidential weight to Gettier intuitions (i.e., that S doesn’t know that p in a Gettier case). (shrink)

In this paper, I propose that, in addition to the multiverse hypothesis, which is commonly taken to be an alternative explanation for fine-tuning, other than the design hypothesis, the simulation hypothesis is another explanation for fine-tuning. I then argue that the simulation hypothesis undercuts the alleged evidential connection between ‘designer’ and ‘supernatural designer of immense power and knowledge’ in much the same way that the multiverse hypothesis undercuts the alleged evidential connection between ‘fine-tuning’ and ‘fine-tuner’ (or ‘designer’). If this is (...) correct, then the fine-tuning argument is a weak argument for the existence of God. (shrink)

In this paper, I outline a reductio against Stanford’s “New Induction” on the History of Science, which is an inductive argument against scientific realism that is based on what Stanford (2006) calls “the Problem of Unconceived Alternatives” (PUA). From the supposition that Stanford’s New Induction on the History of Science is cogent, and the parallel New Induction on the History of Philosophy (Mizrahi 2014), it follows that scientific antirealism is not worthy of belief. I also show that denying a key (...) premise in the reductio only forces antirealists who endorse Stanford’s New Induction on the History of Science into a dilemma: either antirealism falls under the axe of Stanford’s New Induction on the History of Science or it falls under the axe of the New Induction on the History of Philosophy. (shrink)

This article investigates the metaphysical transformation that occurs when a believer becomes a new creation, something which hasn't yet been explored in the literature. I start by setting out what this ontological transformation involves, and then provide two models as to how it might go. The first is a type of substratism, based on a theory of mixing, while the second thinks about this transformation in terms of replacementism. Throughout the article I seek to resolve difficulties that both of these (...) models bring, while also showing how other aspects of Christian thought can be explained by these models. (shrink)

In this paper, I argue that, contrary to common opinion, a counterexample against a philosophical theory does not amount to conclusive evidence against that theory. Instead, the method of counterexamples allows for the derivation of a disjunction, i.e., ‘either the theory is false or an auxiliary assumption is false’, not a negation of the target theory. This is so because, whenever the method of counterexamples is used in an attempt to refute a philosophical theory, there is a crucial auxiliary assumption (...) that needs to be taken into account. The auxiliary assumption is that making intuitive judgments in response to hypothetical cases about the subject matter in question (e.g., knowledge or proper names) is a good method for finding out truths about that subject matter. Without good reasons to think that this assumption is warranted, the negation of a philosophical theory whose content is alleged to be in conflict with the content of an intuition cannot be justifiably derived using an argument that employs the method of counterexamples. (shrink)

In this paper, I argue that arguments from skeptical hypotheses for external world skepticism derive their support from a skeptical argument from the distinction between appearance and reality. This skeptical argument from the appearance/reality distinction gives the external world skeptic her conclusion without appealing to skeptical hypotheses and without assuming that knowledge is closed under known entailments. If this is correct, then this skeptical argument from the appearance/reality distinction poses a new skeptical challenge that cannot be resolved by denying skeptical (...) hypotheses or knowledge closure. (shrink)

100 years have passed since the Balfour declaration, and this significant historical document is still under much scrutiny and at the same time highly relevant. Each side – the Jews and the Palestinians – makes a structured political use of it, in order to justify its arguments, and to criticizes what does not fit his narrative; and this mainly to deepen his justifications and nationalist ideology.

The “affirming” healthcare model for gender-distressed youth is endorsed by the medical establishment in the United States, but many European nations have retreated from it. This controversy would be expected to attract the interest of philosophers and bioethicists, with a diverse range of opinions appearing in academic articles. However, when philosophers and bioethicists have ventured into print, they have almost invariably endorsed the affirmative approach, which involves life-changing medical interventions on children with psychological problems. This is a sign that the (...) process of academic research and writing is not functioning as it should. -/- We recount the failure of philosophy and bioethics to address the issues raised by gender-affirming healthcare. We also offer an explanation of this failure, and in the final section make some recommendations for improving academic integrity. (shrink)

This paper defends the view, put roughly, that to think that p is to guess that p is the answer to the question at hand, and that to think that p rationally is for one’s guess to that question to be in a certain sense non-arbitrary. Some theses that will be argued for along the way include: that thinking is question-sensitive and, correspondingly, that ‘thinks’ is context-sensitive; that it can be rational to think that p while having arbitrarily low credence (...) that p; that, nonetheless, rational thinking is closed under entailment; that thinking does not supervene on credence; and that in many cases what one thinks on certain matters is, in a very literal sense, a choice. Finally, since there are strong reasons to believe that thinking just is believing, there are strong reasons to think that all this goes for belief as well. (shrink)

In this paper, we argue that ‘Weak Modal Rationalism’, which is the view that ideal primary positive conceivability entails primary metaphysical possibility, is self-defeating. To this end, we outline two reductio arguments against ‘Weak Modal Rationalism’. The first reductio shows that, from supposing that ‘Weak Modal Rationalism’ is true, it follows that conceivability both is and is not conclusive evidence for possibility. The second reductio shows that, from supposing that ‘Weak Modal Rationalism’ is true, it follows that it is possible (...) that ‘Weak Modal Rationalism’ is necessarily false, and hence that ‘Weak Modal Rationalism’ is false. We then argue that adopting a weaker position according to which conceivability is merely prima facie evidence for possibility provides limited protection from our criticism of conceivability arguments. (shrink)

I reply to Muñoz-Suárez's objection to my argument by analogy with appeals to authority for the following necessary, but not sufficient, condition for strong appeals to intuition: (PAI) When philosophers appeal to intuitions, there must be an agreement among the relevant philosophers concerning the intuition in question; otherwise, the appeal to intuition is weak.

In this paper, I sketch an argument for the view that we cannot know (or have good reasons to believe) that God exists. Some call this view “strong agnosticism” but I prefer the term “skeptheism” in order to clearly distinguish between two distinct epistemic attitudes with respect to the existence of God, namely, agnosticism and skepticism. For the skeptheist, we cannot know (or have good reasons to believe) that God exists, since there can be neither conceptual (a priori) nor empirical (...) (a posteriori) evidence for the existence of God. (shrink)

I argue that the argument from zombies against physicalism is question-begging unless proponents of the argument from zombies can justify the inference from the metaphysical possibility of zombies to the falsity of physicalism in an independent and non-circular way, i.e., a way that does not already assume the falsity of physicalism.

There is an ongoing methodological debate in philosophy of science concerning the use of case studies as evidence for and/or against theories about science. In this paper, I aim to make a contribution to this debate by taking an empirical approach. I present the results of a systematic survey of the PhilSci-Archive, which suggest that a sizeable proportion of papers in philosophy of science contain appeals to case studies, as indicated by the occurrence of the indicator words “case study” and/or (...) “case studies.” These results are confirmed by data mined from the JSTOR database on research articles published in leading journals in the field: Philosophy of Science, the British Journal for the Philosophy of Science (BJPS), and the Journal for General Philosophy of Science (JGPS), as well as the Proceedings of the Biennial Meeting of the Philosophy of Science Association (PSA). The data also show upward trends in appeals to case studies in articles published in Philosophy of Science, the BJPS, and the JGPS. The empirical work I have done for this paper provides philosophers of science who are wary of the use of case studies as evidence for and/or against theories about science with a way to do philosophy of science that is informed by data rather than case studies. (shrink)

The “received wisdom” in contemporary analytic philosophy is that intuition talk is a fairly recent phenomenon, dating back to the 1960s. In this paper, we set out to test two interpretations of this “received wisdom.” The first is that intuition talk is just talk, without any methodological significance. The second is that intuition talk is methodologically significant; it shows that analytic philosophers appeal to intuition. We present empirical and contextual evidence, systematically mined from the JSTOR corpus and HathiTrust’s Digital Library, (...) which provide some empirical support for the second rather than the first hypothesis. Our data also suggest that appealing to intuition is a much older philosophical methodology than the “received wisdom” alleges. We then discuss the implications of our findings for the contemporary debate over philosophical methodology. (shrink)

It is a common view among philosophers of science that theoretical virtues (also known as epistemic or cognitive values), such as simplicity and consistency, play an important role in scientific practice. In this article, I set out to study the role that theoretical virtues play in scientific practice empirically. I apply the methods of data science, such as text mining and corpus analysis, to study large corpora of scientific texts in order to uncover patterns of usage. These patterns of usage, (...) in turn, might shed some light on the role that theoretical virtues play in scientific practice. Overall, the results of this empirical study suggest that scientists invoke theoretical virtues explicitly, albeit rather infrequently, when they talk about models (less than 30%), theories (less than 20%), and hypotheses (less than 15%) in their published works. To the extent that they are mentioned in scientific publications, the results of this study suggest that accuracy, consistency, and simplicity are the theoretical virtues that scientists invoke more frequently than the other theoretical virtues tested in this study. Interestingly, however, depending on whether they talk about hypotheses, theories, or models, scientists may invoke one of those theoretical virtues more than the others. (shrink)

In this paper, I respond to Michael Huemer’s reply to my objection against Phenomenal Conservatism (PC). I have argued that Huemer’s Self-defeat Argument for PC does not favor PC over competing theories of basic propositional justification, since analogous self-defeat arguments can be constructed for competing theories. Huemer responds that such analogous self-defeat arguments are unsound. In this paper, I argue that Huemer’s reply does not save his Self-defeat Argument for PC from my original objection.

In this paper, I present the results of an experimental study on intuitions about moral obligation (ought) and ability (can). Many philosophers accept as an axiom the principle known as “Ought Implies Can” (OIC). If the truth of OIC is intuitive, such that it is accepted by many philosophers as an axiom, then we would expect people to judge that agents who are unable to perform an action are not morally obligated to perform that action. The results of my experimental (...) study show that participants were more inclined to judge that an agent ought to perform an action than that the agent can perform the action. Overall, participants said that an agent ought to perform an action even when they said that the agent cannot do it. I discuss the implications of these results for the debate over OIC. (shrink)

It is generally accepted among philosophers of science that hypothesis testing is a key methodological feature of science. As far as philosophical theories of confirmation are con...

According to the antirealist argument known as the pessimistic induction, the history of science is a graveyard of dead scientific theories and abandoned theoretical posits. Support for this pessimistic picture of the history of science usually comes from a few case histories, such as the demise of the phlogiston theory and the abandonment of caloric as the substance of heat. In this article, I wish to take a new approach to examining the ‘history of science as a graveyard of theories’ (...) picture. Using JSTOR Data for Research and Springer Exemplar, I present new lines of evidence that are at odds with this pessimistic picture of the history of science. When rigorously tested against the historical record of science, I submit, the pessimistic picture of the history of science as a graveyard of dead theories and abandoned posits may turn out to be no more than a philosophers’ myth. (shrink)

In this paper, I argue that Constructive Empiricism (CE) is ambiguous between two interpretations: CE as a normative epistemology of science and CE as a descriptive philosophy of science. When they present CE, constructive empiricists write as if CE is supposed to be more than a normative epistemology of science and that it is meant to be responsible to actual scientific practices. However, when they respond to objections, constructive empiricists fall back on a strictly normative interpretation of CE. This ambiguity (...) seems to make CE immune to objections in a rather ad hoc fashion. (shrink)

Philosophy is often divided into two traditions: analytic and continental philosophy. Characterizing the analytic-continental divide, however, is no easy task. Some philosophers explain the divide in terms of the place of argument in these traditions. This raises the following questions: Is analytic philosophy rife with arguments while continental philosophy is devoid of arguments? Or can different types of arguments be found in analytic and continental philosophy? This paper presents the results of an empirical study of a large corpus of philosophical (...) texts mined from the JSTOR database (n = 53,260) designed to find patterns of argumentation by type. Overall, the results suggest that there are no significant differences between the types of arguments advanced in analytic and continental philosophy journal articles. The findings, therefore, provide no empirical support to the hypothesis that the divide between analytic and continental philosophy has to do with the place of argument in these traditions. (shrink)

Accounts of arguments from expert opinion take it for granted that expert judgments count as (defeasible) evidence for propositions, and so an argument that proceeds from premises about what an expert judges to a conclusion that the expert is probably right is a strong argument. In Mizrahi (2013), I consider a potential justification for this assumption, namely, that expert judgments are significantly more likely to be true than novice judgments, and find it wanting because of empirical evidence suggesting that expert (...) judgments under uncertainty are not significantly more likely to be true than novice judgments or even chance. In this paper, I consider another potential justification for this assumption, namely, that expert judgments are not influenced by the cognitive biases novice judgments are influenced by, and find it wanting, too, because of empirical evidence suggesting that experts are vulnerable to pretty much the same cognitive biases that novices are vulnerable to. If this is correct, then the basic assumption at the core of accounts of arguments from expert opinion, namely, that expert judgments count as (defeasible) evidence for propositions, remains unjustified. (shrink)

Alexander Bird argues for an epistemic account of scientific progress, whereas Darrell Rowbottom argues for a semantic account. Both appeal to intuitions about hypothetical cases in support of their accounts. Since the methodological significance of such appeals to intuition is unclear, I think that a new approach might be fruitful at this stage in the debate. So I propose to abandon appeals to intuition and look at scientific practice instead. I discuss two cases that illustrate the way in which scientists (...) make judgments about progress. As far as scientists are concerned, progress is made when scientific discoveries contribute to the increase of scientific knowledge of the following sorts: empirical, theoretical, practical, and methodological. I then propose to articulate an account of progress that does justice to this broad conception of progress employed by scientists. I discuss one way of doing so, namely, by expanding our notion of scientific knowledge to include both know-that and know-how. (shrink)

In their attempt to defend philosophy from accusations of uselessness made by prominent scientists, such as Stephen Hawking, some philosophers respond with the charge of ‘scientism.’ This charge makes endorsing a scientistic stance, a mistake by definition. For this reason, it begs the question against these critics of philosophy, or anyone who is inclined to endorse a scientistic stance, and turns the scientism debate into a verbal dispute. In this paper, I propose a different definition of scientism, and thus a (...) new way of looking at the scientism debate. Those philosophers who seek to defend philosophy against accusations of uselessness would do philosophy a much better service, I submit, if they were to engage with the definition of scientism put forth in this paper, rather than simply make it analytic that scientism is a mistake. (shrink)

In this article, through a critical examination of K. Brad Wray's version of the argument from underconsideration against scientific realism, I articulate a modest version of scientific realism. This modest realist position, which I call ‘relative realism’, preserves the scientific realist's optimism about science's ability to get closer to the truth while, at the same time, taking on board the antirealist's premise that theory evaluation is comparative, and thus that there are no good reasons to think that science's best theories (...) are close to the truth. (shrink)

In this paper, I argue that the method of cases (namely, the method of using intuitive judgments elicited by intuition pumps as evidence for and/or against philosophical theories) is not a reliable method of generating evidence for and/or against philosophical theories. In other words, the method of cases is unlikely to generate accurate judgments more often than not. This is so because, if perception and intuition are analogous in epistemically relevant respects, then using intuition pumps to elicit intuitive judgments is (...) like using illusions to elicit perceptual judgments. In both cases, judgments are made under bad epistemic circumstances. (shrink)

In this paper, I argue that, if ‘the overrepresentation of Christian theists in analytic philosophy of religion is unhealthy for the field, since they would be too much influenced by prior beliefs when evaluating religious arguments’ (De Cruz and De Smedt (2016), 119), then a first step toward a potential remedy is this: analytic philosophers of religion need to restructure their analytical tasks. For one way to mitigate the effects of confirmation bias, which may be influencing how analytic philosophers of (...) religion evaluate arguments in Analytical Philosophy of Religion (APR), is to consider other points of view. Applied to APR, this means considering religious beliefs, questions, and arguments couched in non-Christian terms. In this paper, I focus on Islam in particular. My aim is to show that Islam is a fertile ground of philosophical questions and arguments for analytic philosophers of religion to engage with. Engaging with questions and arguments couched in non-Christian terms would help make work in APR more diverse and inclusive of religions other than Christianity, which in turn would also be a first step toward attracting non-Christians to APR. (shrink)