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)

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.

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)

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)

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)

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)

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)

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)

An observation of Hume’s has received a lot of attention over the last decade and a half: Although we can standardly imagine the most implausible scenarios, we encounter resistance when imagining propositions at odds with established moral (or perhaps more generally evaluative) convictions. The literature is ripe with ‘solutions’ to this so-called ‘Puzzle of Imaginative Resistance’. Few, however, question the plausibility of the empirical assumption at the heart of the puzzle. In this paper, we explore empirically whether the difficulty we (...) witness in imagining certain propositions is indeed due to claim type (evaluative v. non-evaluative) or whether it is much rather driven by mundane features of content. Our findings suggest that claim type plays but a marginal role, and that there might hence not be much of a ‘puzzle’ to be solved. (shrink)

Recent research shows – somewhat astonishingly – that people are willing to ascribe moral blame to AI-driven systems when they cause harm [1]–[4]. In this paper, we explore the moral- psychological underpinnings of these findings. Our hypothesis was that the reason why people ascribe moral blame to AI systems is that they consider them capable of entertaining inculpating mental states (what is called mens rea in the law). To explore this hypothesis, we created a scenario in which an AI system (...) runs a risk of poisoning people by using a novel type of fertilizer. Manipulating the computational (or quasi-cognitive) abilities of the AI system in a between-subjects design, we tested whether people’s willingness to ascribe knowledge of a substantial risk of harm (i.e., recklessness) and blame to the AI system. Furthermore, we investigated whether the ascription of recklessness and blame to the AI system would influence the perceived blameworthiness of the system’s user (or owner). In an experiment with 347 participants, we found (i) that people are willing to ascribe blame to AI systems in contexts of recklessness, (ii) that blame ascriptions depend strongly on the willingness to attribute recklessness and (iii) that the latter, in turn, depends on the perceived “cognitive” capacities of the system. Furthermore, our results suggest (iv) that the higher the computational sophistication of the AI system, the more blame is shifted from the human user to the AI system. (shrink)

This is a book review of Karim Bschir and Jamie Shaw (eds.); Interpreting Feyerabend: critical essays. Cambridge: Cambridge University Press, 2021, 290 pp, $99.99 HB.

Originally published in 1991, The Laboratory of the Mind: Thought Experiments in the Natural Sciences, is the first monograph to identify and address some of the many interesting questions that pertain to thought experiments. While the putative aim of the book is to explore the nature of thought experimental evidence, it has another important purpose which concerns the crucial role thought experiments play in Brown’s Platonic master argument.In that argument, Brown argues against naturalism and empiricism (Brown 2012), for mathematical Platonism (...) (Brown 2008), and from the Platonist-friendly, abstract universals posited by the Dretske-Tooley-Armstrong (DTA) account of the laws of nature to a more general, physical Platonism. The Laboratory of the Mind is where he takes this final step. (shrink)

It is argued that quantum theory is best understood as requiring an ontological duality of res extensa and res potentia, where the latter is understood per Heisenberg’s original proposal, and the former is roughly equivalent to Descartes’ ‘extended substance.’ However, this is not a dualism of mutually exclusive substances in the classical Cartesian sense, and therefore does not inherit the infamous ‘mind-body’ problem. Rather, res potentia and res extensa are proposed as mutually implicative ontological extants that serve to explain the (...) key conceptual challenges of quantum theory; in particular, nonlocality, entanglement, null measurements, and wave function collapse. It is shown that a natural account of these quantum perplexities emerges, along with a need to reassess our usual ontological commitments involving the nature of space and time. (shrink)

Michael Walzer’s use of John Stuart Mill’s A Few Words on Non-Intervention (1859) helped to inaugurate it as a canonical text of international theory. However, Walzer’s use of the text was highly selective because he viewed the first half as a historically parochial discussion of British foreign policy, and his interest in the second was restricted to the passages in which Mill proposes principles of international morality to govern foreign military interventions to protect third parties. As a result, theorists (...) tend to see those canonized passages as if through a glass darkly. Attention to the detail and context of Mill’s first-half critique of Lord Palmerston’s opposition to the Suez Canal project reveals that his discussion of purely protective intervention is embedded in a broader exploration of the limits of self-defence, including the moral permissibility of preventive military force and the use of protective interventions for defensive purposes. Moreover, reading the text holistically facilitates a refutation of some objections directed at it by Michael Doyle to the effect that Mill’s conception of self-defence incorporates elements of aggression which makes it extremely dangerous when adapted for application to the contemporary world. (shrink)

Michael T. Stuart (2021 and 2022) has proposed imagination as an intellectual dual‐process virtue, consisting of imagination1 (underwritten by cognitive Type 1 processing) and imagination2 (supported by Type 2 processing). This paper investigates the consequences of taking such an account seriously. It proposes that the dual‐process view of imagination allows us to incorporate recent insights from virtue epistemology, providing a fresh perspective on how imagination can be epistemically reliable. The argument centers on the distinction between General Reliability (GR) and (...) Functional System Reliability (FSR), for example in relation to Kengo Miyazono and Uko Tooming's (2023) argument for epistemic generativity. Furthermore, the paper claims that the dual‐process virtue account enables us to integrate a wide range of findings from the literature on epistemology and imagination. Moreover, it suggests a novel way to distinguish the virtues of creativity and imagination and presents a case for viewing imagination as a virtue rather than a skill. (shrink)

John Stuart Mill and Jeremy Bentham are often said to have held opposed views concerning the way “the value” of different pleasures should be estimated. Mill is accused of being an inconsistent utilitarian because he thought that, when comparing the value of two pleasures, we should not forget to take their “quality” into account. Bentham, on the other hand, is said to have believed that we should take “only quantity” into consideration. By verifying what they actually wrote, and reflecting (...) on what they meant by words like “value”, “quantity”, and “quality”, we find that these allegations are largely imaginary and that the difference between Mill and Bentham on this question has (at least) been exaggerated. Bentham, for example, did not write that "quantity of pleasure being equal, pushpin is as good as poetry", as is so often reported. In his Principles of Morals and Legislation he clearly tells us why he rejects the inaccurate word “quantity”, when speaking of “the value of (a lot of) pain or pleasure”, and he explicitly introduces “quality” – both the word and the concept – in his analysis of rewards and punishments. These clarifications allow us to sort-out a few other confusions concerning utilitarianism. We explain, for example, why authors like Amartya Sen and Michael Sandel are mistaken in believing that rights and freedoms have “no intrinsic value” (only instrumental value) in utilitarian ethics. (shrink)

William Whewell raised a series of objections concerning John Stuart Mill’s philosophy of science which suggested that Mill’s views were not properly informed by the history of science or by adequate reflection on scientific practices. The aim of this paper is to revisit and evaluate this incisive Whewellian criticism of Mill’s views by assessing Mill’s account of Michael Faraday’s discovery of electrical induction. The historical evidence demonstrates that Mill’s reconstruction is an inadequate reconstruction of this historical episode and the (...) scientific practices Faraday employed. But a study of Faraday’s research also raises some questions about Whewell’s characterization of this discovery. Thus, this example provides an opportunity to reconsider the debate between Whewell and Mill concerning the role of the sciences in the development of an adequate philosophy of scientific methodology.Keywords: Inductivism; Experiment; Theory; Methodology; Electromagnetism. (shrink)

Can new technology enhance purpose-driven, democratic dialogue in groups, governments, and societies? Online Deliberation: Design, Research, and Practice is the first book that attempts to sample the full range of work on online deliberation, forging new connections between academic research, technology designers, and practitioners. Since some of the most exciting innovations have occurred outside of traditional institutions, and those involved have often worked in relative isolation from each other, work in this growing field has often failed to reflect the full (...) set of perspectives on online deliberation. This volume is aimed at those working at the crossroads of information/communication technology and social science, and documents early findings in, and perspectives on, this new field by many of its pioneers. -/- CONTENTS: -/- Introduction: The Blossoming Field of Online Deliberation (Todd Davies, pp. 1-19) -/- Part I - Prospects for Online Civic Engagement -/- Chapter 1: Virtual Public Consultation: Prospects for Internet Deliberative Democracy (James S. Fishkin, pp. 23-35) -/- Chapter 2: Citizens Deliberating Online: Theory and Some Evidence (Vincent Price, pp. 37-58) -/- Chapter 3: Can Online Deliberation Improve Politics? Scientific Foundations for Success (Arthur Lupia, pp. 59-69) -/- Chapter 4: Deliberative Democracy, Online Discussion, and Project PICOLA (Public Informed Citizen Online Assembly) (Robert Cavalier with Miso Kim and Zachary Sam Zaiss, pp. 71-79) -/- Part II - Online Dialogue in the Wild -/- Chapter 5: Friends, Foes, and Fringe: Norms and Structure in Political Discussion Networks (John Kelly, Danyel Fisher, and Marc Smith, pp. 83-93) -/- Chapter 6: Searching the Net for Differences of Opinion (Warren Sack, John Kelly, and Michael Dale, pp. 95-104) -/- Chapter 7: Happy Accidents: Deliberation and Online Exposure to Opposing Views (Azi Lev-On and Bernard Manin, pp. 105-122) -/- Chapter 8: Rethinking Local Conversations on the Web (Sameer Ahuja, Manuel Pérez-Quiñones, and Andrea Kavanaugh, pp. 123-129) -/- Part III - Online Public Consultation -/- Chapter 9: Deliberation in E-Rulemaking? The Problem of Mass Participation (David Schlosberg, Steve Zavestoski, and Stuart Shulman, pp. 133-148) -/- Chapter 10: Turning GOLD into EPG: Lessons from Low-Tech Democratic Experimentalism for Electronic Rulemaking and Other Ventures in Cyberdemocracy (Peter M. Shane, pp. 149-162) -/- Chapter 11: Baudrillard and the Virtual Cow: Simulation Games and Citizen Participation (Hélène Michel and Dominique Kreziak, pp. 163-166) -/- Chapter 12: Using Web-Based Group Support Systems to Enhance Procedural Fairness in Administrative Decision Making in South Africa (Hossana Twinomurinzi and Jackie Phahlamohlaka, pp. 167-169) -/- Chapter 13: Citizen Participation Is Critical: An Example from Sweden (Tomas Ohlin, pp. 171-173) -/- Part IV - Online Deliberation in Organizations -/- Chapter 14: Online Deliberation in the Government of Canada: Organizing the Back Office (Elisabeth Richard, pp. 177-191) -/- Chapter 15: Political Action and Organization Building: An Internet-Based Engagement Model (Mark Cooper, pp. 193-202) -/- Chapter 16: Wiki Collaboration Within Political Parties: Benefits and Challenges (Kate Raynes-Goldie and David Fono, pp. 203-205) -/- Chapter 17: Debian’s Democracy (Gunnar Ristroph, pp. 207-211) -/- Chapter 18: Software Support for Face-to-Face Parliamentary Procedure (Dana Dahlstrom and Bayle Shanks, pp. 213-220) -/- Part V - Online Facilitation -/- Chapter 19: Deliberation on the Net: Lessons from a Field Experiment (June Woong Rhee and Eun-mee Kim, pp. 223-232) -/- Chapter 20: The Role of the Moderator: Problems and Possibilities for Government-Run Online Discussion Forums (Scott Wright, pp. 233-242) -/- Chapter 21: Silencing the Clatter: Removing Anonymity from a Corporate Online Community (Gilly Leshed, pp. 243-251) -/- Chapter 22: Facilitation and Inclusive Deliberation (Matthias Trénel, pp. 253-257) -/- Chapter 23: Rethinking the ‘Informed’ Participant: Precautions and Recommendations for the Design of Online Deliberation (Kevin S. Ramsey and Matthew W. Wilson, pp. 259-267) -/- Chapter 24: PerlNomic: Rule Making and Enforcement in Digital Shared Spaces (Mark E. Phair and Adam Bliss, pp. 269-271) -/- Part VI - Design of Deliberation Tools -/- Chapter 25: An Online Environment for Democratic Deliberation: Motivations, Principles, and Design (Todd Davies, Brendan O’Connor, Alex Cochran, Jonathan J. Effrat, Andrew Parker, Benjamin Newman, and Aaron Tam, pp. 275-292) -/- Chapter 26: Online Civic Deliberation with E-Liberate (Douglas Schuler, pp. 293-302) -/- Chapter 27: Parliament: A Module for Parliamentary Procedure Software (Bayle Shanks and Dana Dahlstrom, pp. 303-307) -/- Chapter 28: Decision Structure: A New Approach to Three Problems in Deliberation (Raymond J. Pingree, pp. 309-316) -/- Chapter 29: Design Requirements of Argument Mapping Software for Teaching Deliberation (Matthew W. Easterday, Jordan S. Kanarek, and Maralee Harrell, pp. 317-323) -/- Chapter 30: Email-Embedded Voting with eVote/Clerk (Marilyn Davis, pp. 325-327) -/- Epilogue: Understanding Diversity in the Field of Online Deliberation (Seeta Peña Gangadharan, pp. 329-358). -/- For individual chapter downloads, go to odbook.stanford.edu. (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)

This volume contains new and original papers on Martin Heidegger's complex relation to Friedrich Nietzsche's philosophy. The authors not only critically discuss the many aspects of Heidegger's reading of Nietzsche, they also interpret Heidegger's thought from a Nietzschean perspective. Here is presented for the first time an overview of not only Heidegger's and Nietzsche's philosophy but also an overview of what is alive - and dead - in their thinking. Many authors through a reading of Heidegger and Nietzsche deal with (...) current issues such as technology, ecology, and politics. This volume is of interest for everyone interested in Heidegger's and Nietzsche's thought. Contributors include: Babette Babich, Charles Bambach, Robert Bernasconi, Virgilio Cesarone, Stuart Elden, Michael Eldred, Markus Enders, Charles Feitosa, Véronique Fóti, Luanne T. Frank, Jeffery Kinlaw, Theodore Kisiel, William D. Melaney, Eric Sean Nelson, Abraham Olivier, Friederike Rese, Karlheinz Ruhstorfer, Harald Seubert, Robert Sinnerbrink, Robert Switzer, Jorge Uscatescu Barrón, Nancy A. Weston, Dale Wilkerson, Angel Xolocotzi, Jens Zimmermann. (shrink)

This dissertation undertakes a philosophical analysis of “natural capital” and argues that this concept has prompted economists to view Nature in a radically novel manner. Formerly, economists referred to Nature and natural products as a collection of inert materials to be drawn upon in isolation and then rearranged by human agents to produce commodities. More recently, nature is depicted as a collection of active, modifiable, and economically valuable processes, often construed as ecosystems that produce marketable goods and services gratis. Nature (...) is depicted as consisting of various unproduced mechanisms or “natural machines” that are first discovered and then channeled so as to serve human ends. In short, nature as an ideal is a kind of garden that is characterized by natural objects purposefully arranged by intentional human agents. This dissertation first lays out working definitions of the key terms, such as capital and Nature, and then traces the historical roots of natural capital in the writings of eminent classical political economists, such as Adam Smith, John Stuart Mill, and Karl Marx. I then examine the question of substitutes for “critical natural capital”, and argue that the preservation paradox is warranted: no one can restore or preserve a part of Nature without turning it into an artifact. Following the recent work of Debra Satz and Michael Sandel, I finish my dissertation by situating the question of natural capital in the broader context of whether some goods should not be for sale, particularly those I define as Basic Ecological Goods. (shrink)

This dissertation undertakes a philosophical analysis of “natural capital” and argues that this concept has prompted economists to view Nature in a radically novel manner. Formerly, economists referred to Nature and natural products as a collection of inert materials to be drawn upon in isolation and then rearranged by human agents to produce commodities. More recently, nature is depicted as a collection of active, modifiable, and economically valuable processes, often construed as ecosystems that produce marketable goods and services gratis. Nature (...) is depicted as consisting of various unproduced mechanisms or “natural machines” that are first discovered and then channeled so as to serve human ends. In short, nature as an ideal is a kind of garden that is characterized by natural objects purposefully arranged by intentional human agents. This dissertation first lays out working definitions of the key terms, such as capital and Nature, and then traces the historical roots of natural capital in the writings of eminent classical political economists, such as Adam Smith, John Stuart Mill, and Karl Marx. I then examine the question of substitutes for “critical natural capital”, and argue that the preservation paradox is warranted: no one can restore or preserve a part of Nature without turning it into an artifact. Following the recent work of Debra Satz and Michael Sandel, I finish my dissertation by situating the question of natural capital in the broader context of whether some goods should not be for sale, particularly those I define as Basic Ecological Goods. (shrink)

Filosofia limbajului are legătură cu studiul modului în care limbajul nostru se implică și interacționează cu gândirea noastră. Studierea logicii și relația dintre logică și vorbirea obișnuită poate ajuta o persoană să își structureze mai bine propriile argumente și să critice argumentele celorlalți. Înțelesul este modul în care pot fi considerate în mod corespunzător cuvinte, simboluri, idei și convingeri, definiția sa depinzând de teoria abordată, precum teoria corespondenței, teoria coerenței, teoria constructivistă, teoria consensului sau teoria pragmatică. Există mai multe explicații (...) distince despre ceea ce înseamnă un „sens” lingvistic, în funcție de diverse teorii (ideologice, adevăr-condiționale, de utilizare a limbajului, constructiviste, de referință, verificaționiste, pragmatice, etc.) Investigațiile privind modul în care limbajul interacționează cu lumea sunt numite teorii de referință. Sensul unei propoziții este gândul pe care îl exprimă. Un astfel de gând este abstract, universal și obiectiv. Sensurile determină referința și sunt, de asemenea, modurile de prezentare a obiectelor la care se referă expresiile. Referințele sunt obiectele din lume despre care vorbesc cuvintele. Filosofia limbajului explorează relația dintre limbă și realitate, în special filosofia problemelor de studiu lingvistic care nu pot fi abordate de alte domenii. Logica filozofică se ocupă de descrieri formale ale limbajului obișnuit, nespecializat („natural”). -/- CUPRINS: -/- 1. Filosofia limbajului - 1.1 Istorie - - Filosofia antică - - Filosofia medievală - - Filosofia modernă - - Filosofia contemporană - 1.2 Subiecte și sub-domenii majore - - Compoziție și părți - - Natura sensului - - Referinţă - - Mintea și limba - - - Înnăscut și învățat - - - Limba și gândul - - Interacțiunea socială și limba - 1.3 Limbajul și filozofia continentală - 1.4 Probleme în filosofia limbajului - - Imprecizia - - Problema universalului și a compoziției - - Natura limbajului - - Abordări formale versus informale - - Traducere și interpretare - 1.5 Nominalism - - Istorie - - - Filozofia greacă veche - - - Filozofia medievală - - - Filosofia modernă și contemporană - - Problema universalelor - - Tipuri - - - Filosofie analitică și matematică - - Critica originilor istorice ale termenului 2. Înțeles - 2.1 Adevăr și înțeles - - Teorii majore ale înțelesului - - - Teoria corespondenței - - - Teoria coerenței - - - Teoria constructivistă - - - Teoria consensului - - - Teoria pragmatică - - Teorii și comentarii asociate - - - Logica și limbajul - - - Gottlob Frege - - - Bertrand Russell - - - Alte teorii ale adevărului - - - Saul Kripke - - - Criticile teoriilor de adevăr ale înțelesului - 2.2 Bertrand Russell, Despre denotare - - "Fraza care denotă" - - - Concepția lui Russell despre o frază care denotă - - - Referința la ceva care nu există - - - Epistemologie - - Teoria descrierilor - - - Descrierea matematică - - - Ilustrare - - - Meinong - - Rezolvarea problemei existențialelor negative - - - Declarații despre concepte în care obiectul nu există - - - Ambiguitate - - - Nume fictive - - Critici - 2.3 Sens și referință - - Precursori - - - Antistene - - - John Stuart Mill - 2.3.1 Sens - - Sens și descriere - - Traducerea Bedeutung - - Natura sensului - 2.3.2 Referinţă - 2.4 Nume proprii - - Problema - 2.4.1 Teorii - - Teoria lui Mill - - Teoria bazată pe sensul numelor - - Teoria descriptivă - - Teoria cauzală a numelor - - Teorii de referință directă - - Filosofia continentală - 2.5 Gottlob Frege, Despre sens și referință - 2.6 Teorii cauzale ale referinței - - Motivaţie - - Variații - 2.6.1 Teoria cauzală a referinței a lui Saul Kripke - 2.6.2 Teoria cauzală a referinței a lui Gareth Evans - 2.6.3 Teoria cauzală a referinței a lui Michael Devitt - 2.6.4 Blockchain și arborele cauzal al referinței - 2.6.5 Perspective - 2.7 Saul Kripke, Numire și necesitate - 2.7.1 Prelegerea I - 2.7.2 Prelegerea II - 2.7.3 Prelegerea III - 2.7.4 Concluzii - 2.8 Kit Fine, Relaționismul semantic - - A. Antinomia variabilei - - B. Abordarea tarskiană - - C. Respingerea rolului semantic - - D. Abordarea instanțială - - E. Abordarea algebrică - - F. Abordarea relațională - - G. Semantica relațională pentru logica de primul ordin 3. Logica - Concepte - - Forma logică - - Semantică - - Inferență - - Sisteme logice - - Logică și raționalitate - - Concepte rivale - Tipuri - - Logica silogistică - - Logica propozițională - - Logica predicatelor - - Logica modală - - Raționament informal și dialectică - - Logica matematică - - Logica filozofică - - Logica computațională - - Logica non-clasică - Controverse - - "Este logica empirică?" - - Implicare: Strictă sau materială - - Tolerarea imposibilului - - Respingerea adevărului logic - 3.1 Filosofia logicii - - Adevăr - - - Purtătorii de adevăr - - - Adevăruri analitice, adevăr logic, valabilitate, consecință logică și implicare - 3.2 Logica propozițională - - Explicaţie - - Istorie - - Terminologie - - Noțiuni de bază - - - Închiderea sub operații - - - Argument - 3.3 Logica predicatelor - - Introducere - - Sintaxa - - - Alfabetul - - - - Simboluri logice - - - - Simboluri non-logice - - - Regulile formării - - - - Termeni - - - - Formule - - - - Convenții notaționale - - - Variabile libere și legate - - Semantica - - - Structuri de prim ordin - - - Evaluarea valorilor de adevăr - - - Valabilitate, satisfabilitate și consecință logică - - - Algebrizare - - - Teorii, modele și clase elementare de prim ordin - - - Domenii goale - 3.4 Logica modală - - Dezvoltarea logicii modale - - Semantica - - - Teoria modelului - - - Sisteme axiomatice - - - Teoria dovezilor structurale - - - Metode de decizie - - Tipuri de logici modale - - - Logica aletică - - - Logica epistemică - - - Logica temporală - - - Logica deontică - - - Logica doxastică - - - Alte logici modale - - Ontologia posibilității - - Controverse - 3.5 Declarații - - Declarația ca o entitate abstractă - 3.6 Dileme - - Utilizarea dilemei în logică - 3.7 Argumente - - Formal și informal - - Tipuri standard - - - Argumente deductive - - - Argumente inductive - 3.8 Actualism - - Exemplu - - Puncte de vedere filosofice - - Analiza indexicală a actualității - 3.9 Lumi posibile - - Posibilitate, necesitate și contingență - - Semantica formală a logicii modale - - De la logica modală la instrumentul filosofic - - Teoria lumii posibile în studiile literare - 3.9.1 Lumi reale, ne-reale dar posibile, și imposibile - - Lumi posibile logic - - Constituienții lumilor posibile - 3.10 Saul Kripke - - Wittgenstein - - Adevăr - 3.10.1 Logica modală - - Modele canonice - - Modele Carlson - 3.10.2 Logica intuiționistă - - Logica intuiționistă de ordinul întâi - 3.10.3 Nume și Necesitate - - "Un puzzle despre credință" Referințe Despre autor - Nicolae Sfetcu - - De același autor - - Contact Editura - MultiMedia Publishing . 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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)

Alireza Bagheri supports a policy on organ procurement where individuals could choose their own definition of death between two or more socially accepted alternatives. First, we claim that such a policy, without any criterion to distinguish accepted from acceptable definitions, easily leads to the slippery slope that Bagheri tries to avoid. Second, we suggest that a public discussion about the circumstances under which the dead donor rule could be violated is more productive of social trust than constantly moving the line (...) between life and death. (shrink)

This project continues our interdisciplinary research into computational and cognitive aspects of narrative comprehension. Our ultimate goal is the development of a computational theory of how humans understand narrative texts. The theory will be informed by joint research from the viewpoints of linguistics, cognitive psychology, the study of language acquisition, literary theory, geography, philosophy, and artificial intelligence. The linguists, literary theorists, and geographers in our group are developing theories of narrative language and spatial understanding that are being tested by the (...) cognitive psychologists and language researchers in our group, and a computational model of a reader of narrative text is being developed by the AI researchers, based in part on these theories and results and in part on research on knowledge representation and reasoning. This proposal describes the knowledge-representation and natural-language-processing issues involved in the computational implementation of the theory; discusses a contrast between communicative and narrative uses of language and of the relation of the narrative text to the story world it describes; investigates linguistic, literary, and hermeneutic dimensions of our research; presents a computational investigation of subjective sentences and reference in narrative; studies children’s acquisition of the ability to take third-person perspective in their own storytelling; describes the psychological validation of various linguistic devices; and examines how readers develop an understanding of the geographical space of a story. This report is a longer version of a project description submitted to NSF. This document, produced in May 2007, is a L ATEX version of Technical Report 89-07 (Buffalo: SUNY Buffalo Department of Computer Science, August 1989), with slightly.. (shrink)

In this review, we describe some of the central philosophical issues facing origins-of-life research and provide a targeted history of the developments that have led to the multidisciplinary field of origins-of-life studies. We outline these issues and developments to guide researchers and students from all fields. With respect to philosophy, we provide brief summaries of debates with respect to (1) definitions (or theories) of life, what life is and how research should be conducted in the absence of an accepted theory (...) of life, (2) the distinctions between synthetic, historical, and universal projects in origins-of-life studies, issues with strategies for inferring the origins of life, such as (3) the nature of the first living entities (the “bottom up” approach) and (4) how to infer the nature of the last universal common ancestor (the “top down” approach), and (5) the status of origins of life as a science. Each of these debates influences the others. Although there are clusters of researchers that agree on some answers to these issues, each of these debates is still open. With respect to history, we outline several independent paths that have led to some of the approaches now prevalent in origins-of-life studies. These include one path from early views of life through the scientific revolutions brought about by Linnaeus (von Linn.), Wöhler, Miller, and others. In this approach, new theories, tools, and evidence guide new thoughts about the nature of life and its origin.We also describe another family of paths motivated by a” circularity” approach to life, which is guided by such thinkers as Maturana & Varela, Gánti, Rosen, and others. These views echo ideas developed by Kant and Aristotle, though they do so using modern science in ways that produce exciting avenues of investigation. By exploring the history of these ideas, we can see how many of the issues that currently interest us have been guided by the contexts in which the ideas were developed. The disciplinary backgrounds of each of these scholars has influenced the questions they sought to answer, the experiments they envisioned, and the kinds of data they collected. We conclude by encouraging scientists and scholars in the humanities and social sciences to explore ways in which they can interact to provide a deeper understanding of the conceptual assumptions, structure, and history of origins-of-life research. This may be useful to help frame future research agendas and bring awareness to the multifaceted issues facing this challenging scientific question. (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)

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)

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)

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)

I defend the 'Repugnant' Conclusion that for any possible population of happy people, a population containing a sufficient number of people with lives barely worth living would be better. Four lines of argument converge on this conclusion, and the conclusion has a simple, natural theoretical explanation. The opposition to the Repugnant Conclusion rests on a bare appeal to intuition. This intuition is open to charges of being influenced by multiple distorting factors. Several theories of population ethics have been devised to (...) avoid the Repugnant Conclusion, but each generates even more counterintuitive consequences. The intuition opposing the Repugnant Conclusion is thus among the best candidates for an intuition that should be revised. (shrink)

I argue that, given evidence of the factors that tend to distort our intuitions, ethical intuitionists should disown a wide range of common moral intuitions, and that they should typically give preference to abstract, formal intuitions over more substantive ethical intuitions. In place of the common sense morality with which intuitionism has traditionally allied, the suggested approach may lead to a highly revisionary normative ethics.

The philosophy of science has traditionally assumed that knowledge should be organized in the form of theories. From theories propositions can be deduced that can be tested in experiments. Most propositions deduced from theories take the form of if-then statements. For example, if variable A increases, what happens to variable B, assuming that all other variables are held constant? However, an alternative way of organizing knowledge, in the form of producer-product relationships, was proposed by the philosopher E.A. Singer, Jr. and (...) advocated by two of his students, C. West Churchman and Russell L. Ackoff. Whether to structure knowledge in the form of theories or methods is related to the question of whether there is a fundamental difference between the natural and the social sciences. As opposed to Karl Popper’s doctrine of the unity of method, this paper argues that structuring knowledge in the form of methods is appropriate in applied fields, particularly in management where a large part of the task is to achieve agreement among a group of knowing subjects on an appropriate set of actions. (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)

Analyses C S Lewis's argument for the existence of 'something in addition to nature' - i.e., something which is of a kind that neither depends on nature's interlocking system, nor could be explained as being a necessary product of it. This singular exceptional item, Lewis argued, is rational thought, 'which is not part of the system of nature'.

Michael Lewin geht es in seinem Buch um die Vernunft als ein wohlbegründetes und in zeitgenössischen Kontexten fortführbares Forschungsprogramm. Dabei handelt es sich um eine Theorienreihe zu vielfältigen Arten und Funktionen der Ideen, mit deren Hilfe die Vernunft das Verstehen und Wollen steuert und selbstreflexiv wird. Dazu entwickelt der Autor unter dem Stichpunkt „reflektierter Perspektivismus“ das Programm einer perspektivistischen Metaphilosophie, die den Hintergrundparametern forschungsprogrammatische Festlegungen (in Anlehnung an Imre Lakatos), Ansprüche und (Wissens-)Ziele hinter den philosophischen Positionierungen nachspürt und dadurch ihre (...) Grenzen und Möglichkeiten offenlegt. (shrink)

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)

The New Labour we got was different from the New Labour that might have been, had the reform agenda associated with stakeholding and pluralism in the early-1990s been fully realised. We investigate the road not taken and what it means for ‘one nation’ Labour.

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)

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)

An interview with the American Philosophical Association regarding my work as an academic.

This work addresses the autonomous organization of biological systems. It does so by considering the boundaries of biological systems, from individual cells to Home sapiens, in terms of the presence of Markov blankets under the active inference scheme—a corollary of the free energy principle. A Markov blanket defines the boundaries of a system in a statistical sense. Here we consider how a collective of Markov blankets can self-assemble into a global system that itself has a Markov blanket; thereby providing an (...) illustration of how autonomous systems can be understood as having layers of nested and self-sustaining boundaries. This allows us to show that: (i) any living system is a Markov blanketed system and (ii) the boundaries of such systems need not be co-extensive with the biophysical boundaries of a living organism. In other words, autonomous systems are hierarchically composed of Markov blankets of Markov blankets—all the way down to individual cells, all the way up to you and me, and all the way out to include elements of the local environment. (shrink)

The focus of the study is on the values, priorities and arguments needed to advance ‘design for sustainability’. The discussion critiques conventions related to innovation and technology and offers a product design approach that emphasises minimal intervention, integrated thinking-and-doing, reinstating the familiar, localization and the particularities of place. These interdependent themes are discussed in terms of their relationship to design for sustainability and are clarified through the conceptualization, design, production and use of a simple functional object that is, essentially, a (...) ‘symbolic sustainable artefact’. Although it is fully functional, its practical usefulness in contemporary society would probably be seen as marginal. Its potential contribution is as a symbol of an alternative direction. It asks us to consider aspects of our humanity that are beyond instrumental approaches. It challenges sustainable initiatives that become so caught up in practical and environmental concerns that they fail to question the underlying values, priorities and social drivers which affect how we act in the world; those behaviours and norms that have created the very problems we are so urgently trying to tackle. The discussion is accompanied by a parallel series of photographs that document the relationship between argument, locale and the creation of the conceptual artefact. These photographs convey some of the qualitative differences between the place of much contemporary arte- fact acquisition, i.e. the shopping mall, and the particular locale that yielded the artefact created during this study; they are also useful in conveying the potential relationship that exist between place and the aesthetics of functional objects. (shrink)

How can democratic governments be relied upon to achieve adequate political knowledge when they turn over their authority to those of no epistemic distinction whatsoever? This deep and longstanding concern is one that any proponent of epistemic conceptions of democracy must take seriously. While Condorcetian responses have recently attracted substantial interest, they are largely undermined by a fundamental neglect of agenda-setting. I argue that the apparent intractability of the problem of epistemic adequacy in democracy stems in large part from a (...) failure to appreciate the social character of political knowledge. A social point of view brings into focus a number of vital factors that bear on our understanding of democratic epistemology and our assessment of its prospects: the essential role of inclusive deliberation, the public's agenda-setting function, institutional provisions for policy feedback, the independence of expert communities, and the knowledge-pooling powers of markets. (shrink)