We take up the challenge of developing an international network with capacity to survey the world's scientists on an ongoing basis, providing rich datasets regarding the opinions of scientists and scientific sub-communities, both at a time and also over time. The novel methodology employed sees local coordinators, at each institution in the network, sending survey invitation emails internally to scientists at their home institution. The emails link to a ‘10 second survey’, where the participant is presented with a single statement (...) to consider, and a standard five point Likert scale. In June 2023, a group of 30 philosophers and social scientists invited 20,085 scientists across 30 institutions in 12 countries to participate, gathering 6,807 responses to the statement 'Science has put it beyond reasonable doubt that COVID-19 is caused by a virus'. The study demonstrates that it is possible to establish a global network to quickly ascertain scientific opinion on a large international scale, with high response rate, low opt-out rate, and in a way that allows for significant (perhaps indefinite) repeatability. Measuring scientific opinion in this new way would be a valuable complement to currently available approaches, potentially informing policy decisions and public understanding across diverse fields. (shrink)

English interpretations, appropriations, and transpositions of the figure of Don Quixote play a pivotal role in eighteenth-century constructions of so-called English national character. A corpus of quixotic narratives worked to reinforce the centrality of Don Quixote and the practice of quixotism in the national literary landscape. They stressed the man from La Mancha’s eccentricity and melancholy in ways inextricable from English self-constructions of these traits.2 This is why Stuart Tave is able to write that eighteenth-century Britons could “recast” Don (...) Quixote in a fashion that followed “national pride” in the “freedom” of their humors.1 However, Don Quixote’s integral place in patriotic self-constructions was troubled by gender. While national character was construed as masculine by default, quixotism’s association with masculinity was complicated by the potential passive penetrability of quixotism and the proliferation of narratives about female quixotic readers. This essay will analyze these tensions. Henry Fielding’s Joseph Andrews (1742) and Laurence Sterne’s Tristram Shandy (1759–67) are key examples of quixotic texts that respond to the figure of the female quixote by interrogating the relationship between Englishness, masculinity, and quixotism. (shrink)

This is the first Italian translation of Bentham’s “Deontology”. The translation goes with a rather extended apparatus meant to provide the reader with some information on Bentham’s ethical theory's own context. Some room is made for so-called forerunners of Utilitarianism, from the consequentialist-voluntarist theology of Leibniz, Malebranche, John Gay, Thomas Brown and William Paley to Locke and Hartley's incompatible associationist theories. After the theoretical context, also the real-world context is documented, from Bentham’s campaigns against the oppression of women and cruelty (...) to animals to his projects of political reform. Another section illustrates the ideas of Bentham's followers as well as the objections raised by nineteenth- and twentieth-century critics of utilitarianism. -/- Table of contents I. BEFORE THE TEXT 1. Bentham’s legacy 2. Bentham the Reformer 3. Bentham and the enlightenment project of a reformed morality 4. The principle of utility 5. Deontology or private morality 6. Utilitarianism as «eudemonologism» -/- II. TEXT Deontology I. Deontology: theoretical II. Deontology: practical III. -/- III. CO-TEXT 1. Biography 2. The reform of legislation 3. The Philosophic Radicals between the French revolution and the Industrial revolution -/- IV. CONTEXT 1. Forerunners of Utilitarianism 2. Psychological associationism 3. The oppression of women 4. Cruelty against animals 5. Parsimony and industry in Hogarth’s prints 6. Followers 6.1. John Stuart Mill 6.2. Henry Sidgwick 7. Critics 7.1. Romantic, conservative, and Christian critics 7.2. Socialist critics 8. Consequences: neo-utilitarianism 9. Consequences: critics of utilitarianism 9.1. Deontological critics 9.2. Perfectionists critics 9.3. Sceptical critics 10. Bentham’s legacy for contemporary ethics, by Bikhu Parekh Bibliography Lexicon Index of names and concepts -/- READER'S GUIDE . (shrink)

Philosophy has long either dismissed or paid only minimal attention to creativity, and even with the rise of research on imagination, the creative imagination has largely been ignored as well. The aim of this volume is to correct this neglect. By bringing together existing research in various sub-disciplines, we also aim to open up new avenues of research. The chapters in Part I provide some framing and history on the philosophical study of imagination and creativity, along with an overview of (...) the empirical literature. Part II explores imagination and creativity as they manifest in, and in turn shape, the individual. Part III surveys the role of imagination and creativity across a wide variety of artistic domains, and the chapters of Part IV turn to societal domains. Part V focuses on the interplay of imagination and creativity with regard to particular features of creative subjects and different kinds of creative subjects. *** -/- Part I: Theories and Approaches 1. Theories of Imagination (Peter Kung) 2. Theories of Creativity (Julia Langkau) 3. Historical Treatments of Imagination in the Western Tradition (Lucia Oliveri) 4. Historical Treatments of Creativity in the Western Tradition (Elliot Paul) 5. Non-Western Treatments of Imagination (Reza Hadisi and Jing Iris Hu) 6. Non-Western Treatments of Creativity (Nicolas B. Verger and Vlad Glăveanu) 7. Empirical Treatments of Imagination and Creativity (Dustin Stokes) 8. Experimental Philosophy of Imagination and Creativity (Michael T. Stuart) 9. The Relationship between Imagination and Creativity (Margherita Arcangeli) -/- Part II: Imagination and Creativity in Mind and Action 10. Imagination, Creativity, and Skill (Amy Kind) 11. Imagination, Creativity, and Attention (Bence Nanay) 12. Imagination, Creativity, and Agency (Caterina Moruzzi) 13. Imagination, Creativity, and Emotion (Julien Deonna and Fabrice Teroni) 14. Imagination, Creativity, and Embodiment (Adriana Clavel-Vázquez and María Jimena Clavel Vázquez) 15. Imagination, Creativity, and Gender (Luke Roelofs) 16. Imagination, Creativity, and Race (Nicholas Whittaker) 17. Imagination, Creativity, and Child Development (Thalia Goldstein, Anna Sofia Caruso, Darian Stapleton, and Lamin Fatty) -/- Part III: Imagination and Creativity in the Arts 18. Imagination, Creativity, and the Visual Arts (Claire Anscomb) 19. Imagination, Creativity, and Music (Matteo Ravasio) 20. Imagination, Creativity, and Fiction (Hannah H. Kim) 21. Imagination, Creativity, and Dance (David Davies and Anna Pakes) 22. Imagination, Creativity, and the Culinary Arts (Patrik Engisch) 23. Imagination, Creativity, and Film (Murray Smith) 24. Imagination, Creativity, and Acting (Tzachi Zamir) 25. Imagination, creativity, and fashion (Laura T. Di Summa) -/- Part IV: Imagination and Creativity in Society 26. Imagination and Creativity in the Scientific Realm (Alice Murphy) 27. Imagination and Creativity in the Moral Realm (Tim Mulgan) 28. Imagination and Creativity in the Political Realm (Avshalom Schwartz) 29. Imagination and Creativity in the Law (Maksymilian Del Mar) 30. Imagination and Creativity in the Religious Realm (Neil Van Leeuwen) 31. Imagination and Creativity in Business (Eric Peterson) 32. Imagination and Creativity in Times of Crisis (Jennifer Fraser and Noah Stemeroff) Part V: Emerging Issues in Imagination and Creativity Research 33. Imagination, Creativity, and Aphantasia (Andrea Blomkvist) 34. Imagination, Creativity, and Neurodivergence (Sofia Ortiz-Hinojosa) 35. Imagination, Creativity, and Non-Human Animals (Henry Shevlin) 36. Imagination, Creativity, and Artificial Intelligence (Peter Langland-Hassan) 37. Collective Imagination and Collective Creativity (Nick Wiltsher) . (shrink)

In this Article, I propose a novel law and economics explanation of a deeply puzzling aspect of business organization in market economies. Why are virtually all firms organized as capital-managed and -owned (capitalist) enterprises rather than as labor-managed and -owned cooperatives? Over 150 years ago, J.S. Mill predicted that efficiency and other advantages would eventually make worker cooperatives predominant over capitalist firms. Mill was right about the advantages but wrong about the results. The standard explanation is that capitalist enterprise is (...) more efficient. Empirical research, however, overwhelmingly contradicts this. But employees almost never even attempt to organize worker cooperatives. I critique the explanations of the three leading analysts of the subject (N. Scott Arnold, Henry Hansmann, and Gregory Dow), all of whom offer are different transactions cost accounts, as logically defective and empirically inadequate. I then propose an explanation that has been oddly neglected in the literature, that the rarity of cooperatives is explained by the collective action problem identified by writers such as Mancur Olson. Labor management is a public good that generates the n-person prisoner’s dilemma which gives rational actors the incentive to create it in suboptimal (or no) amounts. I support this by reference to the empirical facts about the origin of existing cooperatives and show that this explanation requires no strong version of a questionable rational choice theory. This explanation is supplemented by the mere exposure or familiarity effect derived from social and cognitive psychology, which turns on the fact that labor managed firms are rare, in part because of the public goods problem, thus unfamiliar, which makes them less attractive and thus more likely to be rare. My account points advocates of labor management towards solutions such as institutional changes in incentives, which, however, themselves involve public goods issues. (shrink)

Sometimes we learn through the use of imagination. The epistemology of imagination asks how this is possible. One barrier to progress on this question has been a lack of agreement on how to characterize imagination; for example, is imagination a mental state, ability, character trait, or cognitive process? This paper argues that we should characterize imagination as a cognitive ability, exercises of which are cognitive processes. Following dual process theories of cognition developed in cognitive science, the set of imaginative processes (...) is then divided into two kinds: one that is unconscious, uncontrolled, and effortless, and another that is conscious, controlled, and effortful. This paper outlines the different epistemological strengths and weaknesses of the two kinds of imaginative process, and argues that a dual process model of imagination helpfully resolves or clarifies issues in the epistemology of imagination and the closely related epistemology of thought experiments. (shrink)

Scientists imagine for epistemic reasons, and these imaginings can be better or worse. But what does it mean for an imagining to be epistemically better or worse? There are at least three metaepistemological frameworks that present different answers to this question: epistemological consequentialism, deontic epistemology, and virtue epistemology. This paper presents empirical evidence that scientists adopt each of these different epistemic frameworks with respect to imagination, but argues that the way they do this is best explained if scientists are fundamentally (...) epistemic consequentialists about imagination. (shrink)

While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons for (...) robot blame, namely the folk's willingness to ascribe inculpating mental states or "mens rea" to robots. In a vignette-based experiment (N=513), we presented participants with a situation in which an agent knowingly runs the risk of bringing about substantial harm. We manipulated agent type (human v. group agent v. AI-driven robot) and outcome (neutral v. bad), and measured both moral judgment (wrongness of the action and blameworthiness of the agent) and mental states attributed to the agent (recklessness and the desire to inflict harm). We found that (i) judgments of wrongness and blame were relatively similar across agent types, possibly because (ii) attributions of mental states were, as suspected, similar across agent types. This raised the question - also explored in the experiment - whether people attribute knowledge and desire to robots in a merely metaphorical way (e.g., the robot "knew" rather than really knew). However, (iii), according to our data people were unwilling to downgrade to mens rea in a merely metaphorical sense when given the chance. Finally, (iv), we report a surprising and novel finding, which we call the inverse outcome effect on robot blame: People were less willing to blame artificial agents for bad outcomes than for neutral outcomes. This suggests that they are implicitly aware of the dangers of overattributing blame to robots when harm comes to pass, such as inappropriately letting the responsible human agent off the moral hook. (shrink)

We might think that thought experiments are at their most powerful or most interesting when they produce new knowledge. This would be a mistake; thought experiments that seek understanding are just as powerful and interesting, and perhaps even more so. A growing number of epistemologists are emphasizing the importance of understanding for epistemology, arguing that it should supplant knowledge as the central notion. In this chapter, I bring the literature on understanding in epistemology to bear on explicating the different ways (...) that thought experiments increase three important kinds of understanding: explanatory, objectual and practical. (shrink)

What role does the imagination play in scientific progress? After examining several studies in cognitive science, I argue that one thing the imagination does is help to increase scientific understanding, which is itself indispensable for scientific progress. Then, I sketch a transcendental justification of the role of imagination in this process.

Imagination is necessary for scientific practice, yet there are no in vivo sociological studies on the ways that imagination is taught, thought of, or evaluated by scientists. This article begins to remedy this by presenting the results of a qualitative study performed on two systems biology laboratories. I found that the more advanced a participant was in their scientific career, the more they valued imagination. Further, positive attitudes toward imagination were primarily due to the perceived role of imagination in problem-solving. (...) But not all problem-solving episodes involved clear appeals to imagination, only maximally specific problems did. This pattern is explained by the presence of an implicit norm governing imagination use in the two labs: only use imagination on maximally specific problems, and only when all other available methods have failed. This norm was confirmed by the participants, and I argue that it has epistemological reasons in its favour. I also found that its strength varies inversely with career stage, such that more advanced scientists do (and should) occasionally bring their imaginations to bear on more general problems. A story about scientific pedagogy explains the trend away from (and back to) imagination over the course of a scientific career. Finally, some positive recommendations are given for a more imagination-friendly scientific pedagogy. (shrink)

This is the introduction to the Routledge Companion to Thought Experiments.

Computational systems biologists create and manipulate computational models of biological systems, but they do not always have straightforward epistemic access to the content and behavioural profile of such models because of their length, coding idiosyncrasies, and formal complexity. This creates difficulties both for modellers in their research groups and for their bioscience collaborators who rely on these models. In this paper we introduce a new kind of visualization that was developed to address just this sort of epistemic opacity. The visualization (...) is unusual in that it depicts the dynamics and structure of a computer model instead of that model’s target system, and because it is generated algorithmically. Using considerations from epistemology and aesthetics, we explore how this new kind of visualization increases scientific understanding of the content and function of computer models in systems biology to reduce epistemic opacity. (shrink)

John D. Norton is responsible for a number of influential views in contemporary philosophy of science. This paper will discuss two of them. The material theory of induction claims that inductive arguments are ultimately justified by their material features, not their formal features. Thus, while a deductive argument can be valid irrespective of the content of the propositions that make up the argument, an inductive argument about, say, apples, will be justified (or not) depending on facts about apples. The argument (...) view of thought experiments claims that thought experiments are arguments, and that they function epistemically however arguments do. These two views have generated a great deal of discussion, although there hasn’t been much written about their combination. I argue that despite some interesting harmonies, there is a serious tension between them. I consider several options for easing this tension, before suggesting a set of changes to the argument view that I take to be consistent with Norton’s fundamental philosophical commitments, and which retain what seems intuitively correct about the argument view. These changes require that we move away from a unitary epistemology of thought experiments and towards a more pluralist position. (shrink)

Henri Lefebvre has considerable claims to be the greatest living philosopher. His work spans some sixty years and includes original work on a diverse range of subjects, from dialectical materialism to architecture, urbanism and the experience of everyday life. The Production of Space is his major philosophical work and its translation has been long awaited by scholars in many different fields. The book is a search for a reconciliation between mental space and real space. In the course of his exploration, (...) Henri Lefebvre moves from metaphysical and ideological considerations of the meaning of space to its experience in the everyday life of home and city. He seeks, in other words, to bridge the gap between the realms of theory and practice, between the mental and the social, and between philosophy and reality. In doing so, he ranges through art, literature, architecture and economics, and further provides a powerful antidote to the sterile and obfuscatory methods and theories characteristic of much recent continental philosophy. This is a work of great vision and incisiveness. It is also characterized by its author's wit and by anecdote, as well as by a deftness of style which Donald Nicholson-Smith's sensitive translation precisely captures. (shrink)

When philosophers discuss the possibility of machines making scientific discoveries, they typically focus on discoveries in physics, biology, chemistry and mathematics. Observing the rapid increase of computer-use in science, however, it becomes natural to ask whether there are any scientific domains out of reach for machine discovery. For example, could machines also make discoveries in qualitative social science? Is there something about humans that makes us uniquely suited to studying humans? Is there something about machines that would bar them from (...) such activity? A close look at the methodology of interpretive social science reveals several abilities necessary to make a social scientific discovery, and one capacity necessary to possess any of them is imagination. For machines to make discoveries in social science, therefore, they must possess imagination algorithms. (shrink)

Attempts to ‘naturalize’ phenomenology challenge both traditional phenomenology and traditional approaches to cognitive science. They challenge Edmund Husserl’s rejection of naturalism and his attempt to establish phenomenology as a foundational transcendental discipline, and they challenge efforts to explain cognition through mainstream science. While appearing to be a retreat from the bold claims made for phenomenology, it is really its triumph. Naturalized phenomenology is spearheading a successful challenge to the heritage of Cartesian dualism. This converges with the reaction against Cartesian thought (...) within science itself. Descartes divided the universe between res cogitans, thinking substances, and res extensa, the mechanical world. The latter won with Newton and we have, in most of objective science since, literally lost our mind, hence our humanity. Despite Darwin, biologists remain children of Newton, and dream of a grand theory that is epistemologically complete and would allow lawful entailment of the evolution of the biosphere. This dream is no longer tenable. We now have to recognize that science and scientists are within and part of the world we are striving to comprehend, as proponents of endophysics have argued, and that physics, biology and mathematics have to be reconceived accordingly. Interpreting quantum mechanics from this perspective is shown to both illuminate conscious experience and reveal new paths for its further development. In biology we must now justify the use of the word “function”. As we shall see, we cannot prestate the ever new biological functions that arise and constitute the very phase space of evolution. Hence, we cannot mathematize the detailed becoming of the biosphere, nor write differential equations for functional variables we do not know ahead of time, nor integrate those equations, so no laws “entail” evolution. The dream of a grand theory fails. In place of entailing laws, a post-entailing law explanatory framework is proposed in which Actuals arise in evolution that constitute new boundary conditions that are enabling constraints that create new, typically unprestatable, Adjacent Possible opportunities for further evolution, in which new Actuals arise, in a persistent becoming. Evolution flows into a typically unprestatable succession of Adjacent Possibles. Given the concept of function, the concept of functional closure of an organism making a living in its world, becomes central. Implications for patterns in evolution include historical reconstruction, and statistical laws such as the distribution of extinction events, or species per genus, and the use of formal cause, not efficient cause, laws. (shrink)

Can an ugly experiment be a good experiment? Philosophers have identified many beautiful experiments and explored ways in which their beauty might be connected to their epistemic value. In contrast, the present chapter seeks out (and celebrates) ugly experiments. Among the ugliest are those being designed by AI algorithms. Interestingly, in the contexts where such experiments tend to be deployed, low aesthetic value correlates with high epistemic value. In other words, ugly experiments can be good. Given this, we should conclude (...) that beauty is not generally necessary or sufficient for epistemic value, and increasing beauty will not generally tend to increase epistemic value. (shrink)

We are often justified in acting on the basis of evidential confirmation. I argue that such evidence supports belief in non-quantificational generic generalizations, rather than universally quantified generalizations. I show how this account supports, rather than undermines, a Bayesian account of confirmation. Induction from confirming instances of a generalization to belief in the corresponding generic is part of a reasoning instinct that is typically (but not always) correct, and allows us to approximate the predictions that formal epistemology would make.

I introduce game-theoretic models for threats to the discussion of threats in speech act theory. I first distinguish three categories of verbal threats: conditional threats, categorical threats, and covert threats. I establish that all categories of threats can be characterized in terms of an underlying conditional structure. I argue that the aim—or illocutionary point—of a threat is to change the conditions under which an agent makes decisions in a game. Threats are moves in a game that instantiate a subgame in (...) which the addressee is ‘under threat’. (shrink)

1. Animal Cruelty Industrial farming is appallingly abusive to animals. Pigs. In America, nine-tenths of pregnant sows live in “gestation crates. ” These pens are so small that the animals can barely move. When the sows are first crated, they may flail around, in an attempt to get out. But soon they give up. Crated pigs often show signs of depression: they engage meaningless, repetitive behavior, like chewing the air or biting the bars of the stall. The sows live like (...) this for four months. Gestation crates will be phased out in Europe by the end of 2012, but they will still be used in America.1 In nature, pigs nurse their young for about thirteen weeks. But in industrial farms, piglets are taken from their mothers after about ten days. Because the piglets are weaned prematurely, they develop a lifelong craving to suck and chew. But the farmers don’t want them sucking and chewing on other pigs’ tails. So the growers routinely snip off the tails of all their pigs. They do this with a pair of pliers and no anesthetic. However, the whole tail is not removed; a tender stump remains. The point is to render the area sensitive, so the pigs being chewed on will fight back. Which they do.2 Over 113 million pigs are slaughtered each year in America.3 Typically, these pigs are castrated, their needle teeth are clipped, and one of their ears is notched for identification —all without pain relief.4 In nature, pigs spend up to three quarters of their waking hours foraging and exploring their environment.5 But in the factory farms, “tens of thousands of hogs spend their entire lives ignorant of earth or straw or sunshine, crowded together beneath a metal roof standing on metal slats suspended over a septic tank. ”6 Bored, and in constant pain, the pigs must perpetually inhale the fumes of their own waste. These pigs often get sick, and their ill health is exacerbated by the overcrowding. In 2000, the U.S. Department of Agriculture compared hog farms containing over 10,000 pigs—which is the norm—with farms containing under 2,000 pigs. (shrink)

In light of recent breakneck pace in machine learning, questions about whether near-future artificial systems might be conscious and possess moral status are increasingly pressing. This paper argues that as matters stand these debates lack any clear criteria for resolution via the science of consciousness. Instead, insofar as they are settled at all, it is likely to be via shifts in public attitudes brought about by the increasingly close relationships between humans and AI users. Section 1 of the paper I (...) briefly lays out the current state of the science of consciousness and its limitations insofar as these pertain to machine consciousness, and claims that there are no obvious consensus frameworks to inform public opinion on AI consciousness. Section 2 examines the rise of conversational chatbots or Social AI, and argues that in many cases, these elicit strong and sincere attributions of consciousness, mentality, and moral status from users, a trend likely to become more widespread. Section 3 presents an inconsistent triad for theories that attempt to link consciousness, behaviour, and moral status, noting that the trends in Social AI systems will likely make the inconsistency of these three premises more pressing. Finally, Section 4 presents some limited suggestions for how consciousness and AI research communities should respond to the gap between expert opinion and folk judgment. (shrink)

Cognitive agents, whether human or computer, that engage in natural-language discourse and that have beliefs about the beliefs of other cognitive agents must be able to represent objects the way they believe them to be and the way they believe others believe them to be. They must be able to represent other cognitive agents both as objects of beliefs and as agents of beliefs. They must be able to represent their own beliefs, and they must be able to represent beliefs (...) as objects of beliefs. These requirements raise questions about the number of tokens of the belief representation language needed to represent believers and propositions in their normal roles and in their roles as objects of beliefs. In this paper, we explicate the relations among nodes, mental tokens, concepts, actual objects, concepts in the belief spaces of an agent and the agent's model of other agents, concepts of other cognitive agents, and propositions. We extend, deepen, and clarify our theory of intensional knowledge representation for natural-language processing, as presented in previous papers and in light of objections raised by others. The essential claim is that tokens in a knowledge-representation system represent only intensions and not extensions. We are pursuing this investigation by building CASSIE, a computer model of a cognitive agent and, to the extent she works, a cognitive agent herself. CASSIE's mind is implemented in the SNePS knowledge-representation and reasoning system. (shrink)

This paper presents an overview of the risks and benefits of Social AI, understood as conversational AI systems that cater to human social needs like romance, companionship, or entertainment. Section 1 of the paper provides a brief history of conversational AI systems and introduces conceptual distinctions to help distinguish varieties of Social AI and pathways to their deployment. Section 2 of the paper adds further context via a brief discussion of anthropomorphism and its relevance to assessment of human-chatbot relationships. Section (...) 3 of the paper provides a survey of potential and in some cases demonstrated harms associated with user interactions with Social AI systems. Finally, Section 4 discusses how the benefits and harms of Social AI can best be addressed, with a primary focus on how frameworks from AI ethics can inform their development. (shrink)

The idea that humans might one day form persistent and dynamic relationships in professional, social, and even romantic contexts is a longstanding one. However, developments in machine learning and especially natural language processing over the last five years have led to this possibility becoming actualised at a previously unseen scale. Apps like Replika, Xiaoice, and CharacterAI boast many millions of active long-term users, and give rise to emotionally complex experiences. In this paper, I provide an overview of these developments, beginning (...) in Section 1 with historical and technical context. In Section 2, I lay out a basic theoretical framework for classifying human-AI relationships and their specific dynamics. Section 3 turns to ethical issues, with a focus on the core philosophical question of whether human-AI relationships can have similar intrinsic value to that possessed by human-human relationships. Section 4 extends to the discussion of ethical issues to the more empirical matter of harms and benefits of human-AI relationships. The paper concludes by noting potentially instructive parallels between the nascent field of ‘Social AI’ and the recent history of social media. (shrink)

SNePS, the Semantic Network Processing System 45, 54], has been designed to be a system for representing the beliefs of a natural-language-using intelligent system (a \cognitive agent"). It has always been the intention that a SNePS-based \knowledge base" would ultimatelybe built, not by a programmeror knowledge engineer entering representations of knowledge in some formallanguage or data entry system, but by a human informing it using a natural language (NL) (generally supposed to be English), or by the system reading books or (...) articles that had been prepared for human readers. Because of this motivation, the criteria for the development of SNePS have included: it should be able to represent anything and everything expressible in NL; it should be able to represent generic, as well as speci c information; it should be able to use the generic and the speci c information to reason and infer information implied by what it has been told; it cannot count on any particular order among the pieces of information it is given; it must continue to act reasonably even if the information it is given includes circular de nitions, recursive rules, and inconsistent information. (shrink)

ABSTRACT Our ascriptions of content to past utterances assign to them a level of conceptual continuity and determinacy that extends beyond what could be grounded in the usage up to their time of utterance. If one accepts such ascriptions, one can argue either that future use must be added to the grounding base, or that such cases show that meaning is not, ultimately, grounded in use. The following will defend the first option as the more promising of the two, though (...) this ultimately requires understanding the relation between use and meaning as ‘normative’ in two important ways. The first way is that the function from use to meaning must be of a sort that allows us to maintain a robust distinction between actual and correct use. The second sort of normativity is unique to theories that extend the grounding base into the future. In particular, if meaning is partially a function of future use, we can see our commitment to the ‘determinacy’ of meaning as a practical commitment that structures our linguistic practices rather than a theoretical commitment that merely describes them. (shrink)

Philosophical conceptual analysis is an experimental method. Focusing on this helps to justify it from the skepticism of experimental philosophers who follow Weinberg, Nichols & Stich. To explore the experimental aspect of philosophical conceptual analysis, I consider a simpler instance of the same activity: everyday linguistic interpretation. I argue that this, too, is experimental in nature. And in both conceptual analysis and linguistic interpretation, the intuitions considered problematic by experimental philosophers are necessary but epistemically irrelevant. They are like variables introduced (...) into mathematical proofs which drop out before the solution. Or better, they are like the hypotheses that drive science, which do not themselves need to be true. In other words, it does not matter whether or not intuitions are accurate as descriptions of the natural kinds that undergird philosophical concepts; the aims of conceptual analysis can still be met. (shrink)

How seriously should we take the idea that the mind employs mental files? Goodman and Gray (2022) argue that mental filing – a thinker rationally treating her cognitive states as being about the same thing – can be explained without files. Instead, they argue that the standard commitments of mental file theory, as represented by Recanati’s indexical model, are better seen in terms of a relational representational feature of object representations, which in turn is based on the epistemic links a (...) thinker bears to objects. This paper argues that this revision is misguided. Neither the representational property nor any basic role for epistemic links are needed for an adequate explanatory theory that makes use of the image of a mental filing system. A better alternative to the indexical model does posit files, albeit as causal-functional entities. This makes additional representational features redundant, and shows that epistemic links play a secondary role. (shrink)

In this short paper I will introduce an idea which, I will argue, presents a fundamental additional challenge to the machine consciousness community. The idea takes the questions surrounding phenomenology, qualia and phenomenality one step further into the realm of intersubjectivity but with a twist, and the twist is this: that an agent’s intersubjective experience is deeply felt and necessarily co-affective; it is enkinaesthetic, and only through enkinaesthetic awareness can we establish the affective enfolding which enables first the perturbation, and (...) then the balance and counter-balance, the attunement and co-ordination of whole-body interaction through reciprocal adaptation. (shrink)

The papers in this volume originated in a workshop on externalism and conceptual change held at the University of St. Andrews in June 2018. The discussion of conceptual change was driven largely by...

Is human free will compatible with the natural laws of the universe? To “compatibilists” who see free actions as emanating from the wants and reasons of human agents, free will looks perfectly plausible. However, “incompatibilists” claim to see the more ultimate sources of human action. The wants and reasons of agents are said to be caused by physical processes which are themselves mere natural results of the previous state of the world and the natural laws which govern it. This paper (...) argues that the incompatibilists make a mistake in appealing to such non-agent sources of human action. They fail to realize that free will may exist at one scale, but not at the scales where they look. When free will is considered from the correctly scaled perspective, it does seem compatible with determinism and natural laws. (shrink)

A picture of the world as chiefly one of discrete objects, distributed in space and time, has sometimes seemed compelling. It is however one of the main targets of Henry Laycock's book; for it is seriously incomplete. The picture, he argues, leaves no space for "stuff" like air and water. With discrete objects, we may always ask "how many?," but with stuff the question has to be "how much?" Laycock's fascinating exploration also addresses key logical and linguistic questions about (...) the way we categorize the many and the much. (shrink)

Several studies have shown that preference is not necessarily synonymous with choice. In particular, the most preferred object from a set of objects presented in a non—choice context is not necessarily chosen when the same objects are options in a choice situation (Lichtenstein & Slovic, 1971, 1973; Tversky, Sattah, & Slovic, 1988) . Our research on the choice—preference discrepancy replicates these findings and thus bears some resemblance to the study by Tversky, Sattah, and Slovic (1988). Two competing explanations are tested.

The possibility of employing human enhancement interventions to aid in future space missions has been gaining attention lately. These possibilities have included one of the more controversial kinds of enhancements: biomedical moral enhancement. However, the discussion has thus far remained on a rather abstract level. In this paper we further this conversation by looking more closely at what type of interventions with what sort of effects we should expect when we are talking about biomedical moral enhancements. We suggest that a (...) more grounded way to picture moral enhancement, at least in the near term, is to envision a form of cognitive enhancement that also provides some moral benefits by heightening the enhanced person's capability for acting according to their own subjective moral code. While this concept of moral adherence enhancement also has relevance for the moral enhancement discussion more widely, in this paper we apply it specifically in the context of space missions. We argue that there are weighty reasons to consider making biomedical enhancements of the proposed kind a mandatory feature of early-phase long-distance space travel because these missions are high-stakes in nature and take place in an environment where the enhancement could be seen as conferring important advantages while negating many of the traditional arguments weighed against it. (shrink)

ABSTRACT Act-based theories of content hold that propositions are identical to acts of predication that we perform in thought and talk. To undergo an occurrent thought with a particular content is just to perform the act of predication that individuates that content. But identifying the content of a thought with the performance of an act of predication makes it difficult to explain the intentionality of bouletic mental activity, like wanting and desiring. In this paper, I argue that this difficulty is (...) insurmountable: the contents of occurrent desires cannot be determined by acts of predication. (shrink)

My aim in this paper is to go some way towards showing that the maintenance of hard and fast dichotomies, like those between mind and body, and the real and the virtual, is untenable, and that technological advance cannot occur with being cognisant of its reciprocal ethical implications. In their place I will present a softer enactivist ontology through which I examine the nature of our engagement with technology in general and with virtual realities in particular. This softer ontology is (...) one to which I will commit Kant, and from which, I will show, certain critical moral and emotional consequences arise. It is my contention that Kant’s logical subject is necessarily embedded in the world and that Kant, himself, would be content with this view as an expression of his inspired response to the ‘‘scandal to philosophy... that the existence of things outside us... must be accepted merely on faith’’ [Bxl]. In keeping with his arguments for the a priori framing of intuition, the a priori structuring of experience through the spontaneous application of the categories, the synthesis of the experiential manifold, and the necessity of a unity of apperception, I will present an enactivist account of agency in the world, and argue that it is our embodied and embedded kinaesthetic engagement in our world which makes possible the syntheses of apprehension, reproduction and recognition, and which, in turn, make possible the activity of the reproductive or creative imagination. (shrink)

My objective is a better comprehension of two theoretically fundamental concepts. One, the concept of a substance in an ordinary (non-Aristotelian) sense, ranging over such things as salt, carbon, copper, iron, water, and methane – kinds of stuff that now count as (chemical) elements and compounds. The other I’ll call the object-concept in the abstract sense of Russell, Wittgenstein, and Frege in their logico-semantical enquiries. The material object-concept constitutes the heart of our received logico / ontic system, still massively influenced (...) by Aristotle after almost 2.5 millennia. On such an account, the fundamentality of material objects and their attributes are the metaphysical basis of the cosmos, as reflected in our received logic, Quine’s ‘canonical notation’ – derived via the empiricism of Russell from Frege’s function-based Begriffschrifft, and consisting of concrete singular terms and variables, quantifiers and predicate-expressions. The inadequacy of Frege’s approach to understanding concepts is reflected in his initial question. Frege enquires of ‘what it is that we are calling an object’, remarking that he regards a regular definition as impossible: “we have here something too simple to admit of logical analysis”. The imagined ultimacy or simplicity of the idea of a single object (arithmetically, just a unit – one as against two, three, four, etc.) as foundational to the calculus is just that – imagined. It is also guaranteed to block the comprehension of the substance-concept. (shrink)

When performing a skilled action—whether something impressive like a double somersault or something mundane like reaching for a glass of water—you exercise control over your bodily movements. Specifically, you guide their course. In what does that control consist? In this dissertation, I argue that it consists in attending to what you are doing. More specifically, in attending, agents harness their perceptual and perceptuomotor states directly and practically in service of their goals and, in doing so, settle the fine-grained manner in (...) which their bodies will move—details an intention alone leaves unsettled. This requires, among other things, that we reject views on which agents’ control is identical with their practical rationality. When all goes well, agents attentionally prioritize what is motivationally relevant to them to the exclusion of what would otherwise distract them from achieving their goals. However, sometimes agents attend distractedly—i.e., without prioritizing. As the aim of attention is to avoid distraction, this entails the possibility of defective attention. Defective attention, in turn, casts light on scenarios in which agents lose control over what they are doing, as when a skilled practitioner ‘chokes under pressure’. A complaint sometimes levelled against accounts, like mine, that claim to reduce agents’ control of their behaviour to that of causally efficacious mental states or events is that these accounts invariably deprive agents themselves of their rightful role in the generation of behaviour. This is the “Disappearing Agent Problem” for “reductive” or “event-causal” theories of action. I argue that, correctly understood, extant reductive theories do face a genuine Disappearing Agent Problem. However, it is a problem we solve by recognizing the role that conscious attention plays in making an action the agent’s own. Accordingly, I develop and defend an attentional account of action ownership. On this view, allocating conscious attention in service of your goals is sufficient for a kind of conscious perspective (“motivational perspective”), which, when active in controlling your behaviour, constitutes the behaviour as your own doing. As I explain, such perspective also contributes to explaining the subjective structure of your perceptual awareness of the world around you. (shrink)

In our day-to-day lives, we form responsibility judgements about one another – but we are imperfect beings, and our judgments can be mistaken. This paper suggests that we get things wrong not merely by chance, but predictably and systematically. In particular, these miscues are common when we are dealing with large gaps in social status and power. That is, when we form judgements about those who are much more or less socially powerful than ourselves, it is increasingly likely that “epistemic (...) distorters” will reliably disrupt our reasoning. In response to this situation, I argue for the introduction of a new norm concerning blame and social status: “Powerful Restraint.” This norm suggests that the socially powerful ought to blame the socially dispossessed less frequently, and that social pressure be applied to achieve that compliance. I argue that such a norm is justified given the pernicious down-stream moral effects of the up-stream epistemic distortion I describe. I defend it against objections that it suggests a normative solution to an epistemic problem, that it is paternalistic, and that it involves a kind of disrespect to the less socially powerful. (shrink)

Ascriptions of content are sensitive not only to our physical and social environment, but also to unforeseeable developments in the subsequent usage of our terms. This paper argues that the problems that may seem to come from endorsing such 'temporally sensitive' ascriptions either already follow from accepting the socially and historically sensitive ascriptions Burge and Kripke appeal to, or disappear when the view is developed in detail. If one accepts that one's society's past and current usage contributes to what one's (...) terms mean, there is little reason not to let its future usage to do so as well. (shrink)

From the time of Confucius and Aristotle up until the present day, theorists have argued that the individual self exists only as an aspect of social structures. The claim is not merely that the self is causally affected by social structures; but that the self is just social structure. The most recent iteration of this claim comes in book-length from Brian Lowery, though the argument was made more completely by Charles Taylor and Kenneth Gergen in the preceding decades. The most (...) rigorous version of the argument draws on Wittgenstein, claiming that thought itself is impossible without socially constructed meanings. Wittgenstein argued that a “private language” would be incoherent because the person using the language could not have any criteria by which to judge the correctness of the symbols used. However, this reasoning fails as an argument against individualized thought because it applies equally well to the use of public languages. So this paper argues that eliminative social constructivism has never made any sense, least of all in its latest form. (shrink)

A number of philosophers have become interested in the ways that individuals are subject to harm as the performers of illocutionary acts. This paper offers an account of the underlying structure of such harms: I argue that speakers are the subjects of illocutionary harm when there is interference in the entitlement structure of their linguistic activities. This interference comes in two forms: denial and incapacitation. In cases of denial, a speaker is prevented from achieving the outcomes to which they are (...) entitled by their speech. In cases of incapacitation, a speaker’s standing to expect certain outcomes is itself undermined. I also discuss how individual speakers are subject to interference along two dimensions: as exercisers of certain non-linguistic capacities, and as producers of meaningful speech. (shrink)

An adequate understanding of the ubiquitous practice of mechanistic explanation requires an account of what Craver termed “constitutive relevance.” Entities or activities are constitutively relevant to a phenomenon when they are parts of the mechanism responsible for that phenomenon. Craver’s mutual manipulability account extended Woodward’s account of manipulationist counterfactuals to analyze how interlevel experiments establish constitutive relevance. Critics of MM argue that applying Woodward’s account to this philosophical problem conflates causation and constitution, thus rendering the account incoherent. These criticisms, we (...) argue, arise from failing to distinguish the semantic, epistemic, and metaphysical aspects of the problem of constitutive relevance. In distinguishing these aspects of the problem and responding to these critics accordingly, we amend MM into a refined epistemic criterion, the “matched interlevel experiments” account. Further, we explain how this epistemological thesis is grounded in the plausible metaphysical thesis that constitutive relevance is causal betweenness. (shrink)

This book consolidates emerging research on Aristotle's science and ethics in order to explore the extent to which the concepts, methods, and practices he developed for scientific inquiry and explanation are used to investigate moral phenomena. Each chapter shows, in a different way, that Aristotle's ethics is much more like a science than it is typically represented. The upshot of this is twofold. First, uncovering the links between Aristotle's science and ethics promises to open up new and innovative directions for (...) research into his moral philosophy. Second, showing why Aristotle thinks ethics can never be fully assimilated to the model of science will help shed new light on his views about the limits of science. The volume thus promises to make a significant contribution to our understanding of the epistemological, metaphysical, and psychological foundations of Aristotle's ethics. (shrink)

INTRODUCTION THE PROBLEM OF THE BEING OF THE EGO AND THE FUNDAMENTAL PRESUPPOSITIONS OF ONTOLOGY "Mit dem cogito sum beansprucht Descartes, der Philosophic ...

Attitude verbs like ‘believe’ and ‘want’ exhibit neg-raising: an ascription of the form a doesn’t believe that p tends to convey that a disbelieves—i.e., believes the negation of—p. In ‘Belief is Weak’, Hawthore et al. observe that neg-raising does not occur with verbs like ‘know’ or ‘need’. According to them, an ascription of the form a believes that p is true just in case a is in a belief state that makes p more likely than not, and so—excepting cases of (...) complete indifference—a will either believe p or disbelieve p. I expand and revise this explanation: so-called ‘weak’ attitude verbs are used in ascriptions of an opinion about some subject matter S—a kind of selection from among the elements of S—and these ascriptions are themselves responsive to conversational topics that presuppose that the subject of the ascription has an opinion about S. ‘Strong’ attitude verbs denote more direct relationships between subject and world. (shrink)

There has frequently been taken to be a tension, if not an incompatibility, between "externalist" theories of content (which allow the make-up of one's physical environment and the linguistic usage of one's community to contribute to the contents of one's thoughts and utterances) and the "methodologically individualist" intuition that whatever contributes to the content of one's thoughts and utterances must ultimately be grounded in facts about one's own attitudes and behavior. In this dissertation I argue that one can underwrite such (...) externalist theories within a methodologically individualistic framework by understanding semantic norms in terms of the need to reach, for each of one's terms, a type of "equilibrium." Each speaker's commitment to making her _own_ beliefs and applications consistent allows one to incorporate these 'external' factors into the contents of their thoughts and utterances in a way that remains methodologically individualistic. Methodologically individualistic accounts are typically taken to be unable to incorporate 'external' factors such as the world's physical make-up or communal usage because of arguments suggesting that the individual's own beliefs and usage underdetermine or even misidentify what, according to externalist accounts, they mean by their terms. These arguments, however, only seem plausible if one presupposes a comparatively impoverished conception of the individual's beliefs. The beliefs a speaker associates with a given term extend far beyond the handful of sentences they would produce if asked to list such beliefs. In particular, speakers have an implicit, but rich, understanding of their language, their world, and the relation between them. Speakers typically understand languages as shared temporally extended practices about which they can be, both individually and collectively, mistaken. Once this conception of language is taken into account, the ascriptions which purportedly forced 'non-individualistic' conceptions of content upon us (particularly ascriptions which seemed to tie what we meant to social use rather than our own beliefs) turn out to be ultimately grounded in the individual's own beliefs. Indeed, our self-conception does much more than merely underwrite 'non-individualistic' ascriptions.. (shrink)

The philosophy of biomimicry, I argue, consists of four main areas of inquiry. The first, which has already been explored by Freya Mathews, concerns the “deep” question of what Nature ultimately is. The second, third, and fourth areas correspond to the three basic principles of biomimicry as laid out by Janine Benyus. “Nature as model” is the poetic principle of biomimicry, for it tells us how it is that things are to be “brought forth”. “Nature as measure” is the ethical (...) principle of biomimicry, for it tells us that Nature places ethical limits or standards on what it is possible for us to accomplish. And “Nature as mentor” is the epistemological principle of biomimicry, for it affirms that Nature is the ultimate source of truth, wisdom, and freedom from error. Within this overall framework, I argue that seeing Nature as physis—understood as “self-production” or “self-placing-into-the-open”—constitutes the requisite ground for the poetic, ethical, and epistemological principles of biomimicry, and that biomimicry thus conceived involves a new philosophical paradigm, which I call “enlightened naturalism”. (shrink)