Representation was invented as an issue during the 17th century in response to specific developments in the technology of simulation. It remains an issue of central importance today in the design of information systems and approaches to artificial intelligence. Our cultural legacy of thought about representation is enormous but as inhibiting as it is productive. The challenge to designers of representative technology is to reshape this legacy by enlarging the politics rather than the technics of simulation.

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)

Black Panther presents an African cultural tapestry. The wide breadth of the African elements fit Black Panther well within Afrofuturism, a genre defined by its use and placement of people of African descent in the past, present, and future of society. Beyond these cultural elements, Black Panther 's Afrofuturism employs water imagery and spinal cord injury as potent symbols of disconnection and reconnection. Black Panther draws from a long tradition of Afrofuturist literature that is influenced by (...) a desire to remedy the injuries of the past and reconnect people of African descent with the continent from which they've been severed. Black Panther 's Afrofuturism reimagines antebellum slavery society's flight fantasy as a powerful science fiction, T'Challa's Royal Talon Flyer. The narratives of T'Challa, Shuri, and Wakanda have been continuously remolded and expanded upon since the 1960s by artists who have been inspired by other Afrofuturist works. (shrink)

Illegal drugs are not inherently unclean, any more than alcohol, tobacco, or canola oil. All of these are simply chemicals that people choose to ingest for enjoyment, and that can harm our health if used to excess. Most of the sordid associations we have with illegal drugs are actually the product of the drug laws: it is because of the laws that drugs are sold on the black market, that Latin American crime bosses are made rich, that government officials (...) are corrupted, and that drug users rob others to buy drugs. (shrink)

Illegal drugs are not inherently unclean, any more than alcohol, tobacco, or canola oil. All of these are simply chemicals that people choose to ingest for enjoyment, and that can harm our health if used to excess. Most of the sordid associations we have with illegal drugs are actually the product of the drug laws: it is because of the laws that drugs are sold on the black market, that Latin American crime bosses are made rich, that government officials (...) are corrupted, and that drug users rob others to buy drugs. (shrink)

Mark Coeckelbergh starts his book with a very powerful picture based on a real incident: On the 9th of January 2020, Robert Williams was wrongfully arrested by Detroit police officers in front of his two young daughters, wife and neighbors. For 18 hours the police would not disclose the grounds for his arrest (American Civil Liberties Union 2020; Hill 2020). The decision to arrest him was primarily based on a facial detection algorithm which matched Mr. Williams’ driving license photo with (...) the picture of a man who was suspected of watch theft two years earlier. Not only did the computer ‘get it wrong’ as one of the detectives said, when Mr. Williams made them aware that the picture of the suspect obviously wasn’t resembling him, the probably unreliable algorithm very likely contributed to racial discrimination (Hill 2020). It is well documented that many available facial detection algorithms at this time had significant problems (e.g. a comparably high false positive rate) with respect to black persons, like Mr. Williams (NIST 2019). Multiple causes may exist, such as unbalanced training datasets and insufficient optimization. Coeckelbergh compares the disturbing case of Mr. Williams with a political interpretation of Franz Kafka’s The Trial, where the protagonist, Josef K., is accused of an unspecified crime by an opaque, oppressive and absurd bureaucracy: “In the 21st-century United States, Josef K. is black and is falsely accused by an algorithm, without explanation” (p. 2). (shrink)

An analysis of the business ethics of the African-American church during and after Reconstruction reveals that it is a conflicted ethic, oscillating between two poles. The first is the sacralization of the business ethic of Booker T. Washington, in which self-help endeavors that valorize American capitalism but are preferentially oriented to the African-American community are advanced as the best and only options for economic uplift. The second is the "Blackwater" tradition, which rejects any racial discrimination and insists upon social justice. (...) The inability of the Washingtonian business ethic to address the needs of the Black underclass are explored. A new business ethic is called for, which would be committed to meeting the basic needs of the mostdisadvantaged members of American society and those of the "international poor.". (shrink)

Traditionally, species have been treated as classes. In fact they may be considered individuals. The logical term “individual” has been confused with a biological synonym for “organism.” If species are individuals, then: 1) their names are proper, 2) there cannot be instances of them, 3) they do not have defining properties, 4) their constituent organisms are parts, not members. “ Species " may be defined as the most extensive units in the natural economy such that reproductive competition occurs among their (...) parts. Species are to evolutionary theory as firms are to economic theory: this analogy resolves many issues, such as the problems of “reality” and the ontological status of nomenclatorial types. (shrink)

In her black and white room, Mary doesn’t know what it is like to see red. Only after undergoing an experience as of something red and hence acquainting herself with red can Mary learn what it is like. But learning what it is like to see red requires more than simply becoming acquainted with it. To be acquainted with something is to know it, but such knowledge, as we argue, is object-knowledge rather than propositional-knowledge. To know what it is (...) like one must know an appropriate propositional answer to the question ‘what is it like?’. Despite this mismatch between object-knowledge and knowing an answer, we believe that acquaintance is crucial to Mary’s epistemic progress. When Mary leaves her black and white room, her new knowledge tempts one to think that she must come to know a candidate answer (a coarse-grained fact) that she didn’t know in her room. Since Mary already knows all the physical facts in her room, any additional facts she might learn appear to threaten physicalism. In reply, many physicalists have been attracted to the phenomenal concept strategy according to which Mary can come to have new knowledge and hence know a new answer to the question ‘what is it like to see red?’ by entertaining a coarse-grained fact under a concept she didn’t possess in her room – Mary learns a new fine-grained fact. We believe both of these accounts of Mary’s epistemic progress are mistaken. As we argue, Mary could know every fact (coarse-grained and fine-grained) that might serve as an answer to the question ‘what is it like to see red?’ and still not know what it is like. The physical world leaves no leftover coarse-grained facts for Mary to learn and because concepts are sharable, easy to possess, and easy to introduce, there are possible situations in which Mary, while in her black and white room, has every concept that might make a fine-grained difference. In short, even when Mary is granted a great deal of factual knowledge and vast conceptual resources, she may still not know an appropriate answer to the question ‘what is it like to see red?’. But in any such situation, Mary lacks acquaintance with red and on this basis we argue that in order to know what it is like, in order for Mary to know an appropriate answer, Mary’s propositional knowledge must be appropriately related to her acquaintance with red. (shrink)

_This sweeping discussion of the philosophy of evolutionary biology is based on the revolutionary idea that species are not kinds of organisms but wholes composed of organisms._.

A coherent treatment of the flow of ideas throughout Darwin's works, this volume presents a unified theoretical system that explains Darwin's investigations, evaluating the literature from a historical, scientific, and philosophical perspective.

An analysis of the business ethics of the African-American church during and after Reconstruction reveals that it is a conflicted ethic, oscillating between two poles. The first is the sacralization of the business ethic of Booker T. Washington, in which self-help endeavors which valorize American capitalism but are preferentially oriented to the African-American community are advanced as the best and only options for economic uplift. The second is the “Blackwater” tradition, which rejects any racial discrimination and insists upon social justice. (...) The inability of the Washingtonian business ethic to address the needs of the Black underclass are explored. A new business ethic is called for, which would be committed to meeting the basic needs of the most disadvantaged members of American society and those of the “international poor.”. (shrink)

So there will be no mistake, I don’t deny, why would I wish to, that a thematic of racial difference is crucial to the overall plot of Almayer’s Folly. What I claim is that that thematic falls short of significantly determining or even, to use Brown’s word, appreciably “complicating” the problematic of erasure that surfaces in the closing chapters. It’s as though the rest of the novel is there chiefly to stage those chapters and their dramatization of erasure; something similar (...) takes place in Powell’s narrative of spying into Captain Anthony’s cabin toward the end of Chance and even, to a lesser degree, in the climactic encounter between Winnie Verloc and her husband in chapter 11 of The Secret Agent. It’s worth noting, too, that the opening paragraphs of A Personal Record, Conrad’s autobiographical account of the beginnings and origins of his “writing life,” describe the circumstances under which “the tenth chapter of ‘Almayer’s Folly’ was begun.”8 This in itself suggests that Conrad has a special stake in the last three chapters of his first novel, and one of my aims in “Almayer’s Face” was to discover what that stake may have been.9 8. Joseph Conrad, A Personal Record , pp. 72: my emphasis.9. Again, so there will be no mistake, I would distinguish Almayer’s Folly sharply in this respect from, for example, The Nigger of the “Narcissus,” in which effects of erasure are disseminated throughout the text and in which the title character’s blackness is crucial to their production. Michael Fried, J. R. Herbert Boone Professor of Humanities at the Johns Hopkins University, is currently at work on books on Manet and on literary “impressionism.” His most recent book is Courbet’s Realism. (shrink)

Joshua Greene has argued that the empirical findings of cognitive science have implications for ethics. In particular, he has argued (1) that people’s deontological judgments in response to trolley problems are strongly influenced by at least one morally irrelevant factor, personal force, and are therefore at least somewhat unreliable, and (2) that we ought to trust our consequentialist judgments more than our deontological judgments when making decisions about unfamiliar moral problems. While many cognitive scientists have rejected Greene’s dual-process theory of (...) moral judgment on empirical grounds, philosophers have mostly taken issue with his normative assertions. For the most part, these two discussions have occurred separately. The current analysis aims to remedy this situation by philosophically analyzing the implications of moral dilemma research using the CNI model of moral decision-making – a formalized, mathematical model that decomposes three distinct aspects of moral-dilemma judgments. In particular, we show how research guided by the CNI model reveals significant conceptual, empirical, and theoretical problems with Greene’s dual-process theory, thereby questioning the foundations of his normative conclusions. (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)

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

Michael T. Ferejohn presents a new analysis of Aristotle's theory of explanation and scientific knowledge, in the context of its Socratic roots. Ferejohn shows how Aristotle resolves the tension between his commitment to the formal-case model of explanation and his recognition of the role of efficient causes in explaining natural phenomena.

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.

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)

Classifying is a fundamental operation in the acquisition of knowledge. Taxonomic theory can help students of cognition, evolutionary psychology, ethology, anatomy, and sociobiology to avoid serious mistakes, both practical and theoretical. More positively, it helps in generating hypotheses useful to a wide range of disciplines. Composite wholes, such as species and societies, are “individuals” in the logical sense, and should not be treated as if they were classes. A group of analogous features is a natural kind, but a group of (...) homologous features is not. Imposing hypotheses justified only on the basis of nominalist, realist, phenomenalist, or conceptualist metaphysics upon the neurophysiology of organisms or upon the causes of behavior exemplifies the “psychologist's fallacy” of William James. Levels should be distinguished from their members and from classes of levels, and the ontological status of entities ranked at levels should be made clear. It is important not to confuse such categories as substance and process with one another. Several genetical terms, such as “gene” and chromosome,” are even more equivocal than has been realized. Discussions about units of selection, behavior, and thinking suffer from the ambiguity of a “unit of” an entity. An important source of misunderstanding about natural selection is the habit of treating it as an “agent”: in an important sense, natural selection does not “act” at all. (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 important for many things in science: solving problems, interpreting data, designing studies, etc. Philosophers of imagination typically account for the productive role played by imagination in science by focusing on how imagination is constrained, e.g., by using self-imposed rules to infer logically, or model events accurately. But the constraints offered by these philosophers either constrain too much, or not enough, and they can never account for uses of imagination that are needed to break today’s constraints in order to (...) make progress tomorrow. Thus, epistemology of imagination needs to make room for an element of epistemological anarchy. (shrink)

Thought experiments are a means of imaginative reasoning that lie at the heart of philosophy, from the pre-Socratics to the modern era, and they also play central roles in a range of fields, from physics to politics. The Routledge Companion to Thought Experiments is an invaluable guide and reference source to this multifaceted subject. Comprising over 30 chapters by a team of international contributors, the Companion covers the following important areas: -/- · the history of thought experiments, from antiquity to (...) the trolley problem and quantum non-locality; -/- · thought experiments in the humanities, arts, and sciences, including ethics, physics, theology, biology, mathematics, economics, and politics; -/- · theories about the nature of thought experiments; -/- · new discussions concerning the impact of experimental philosophy, cross-cultural comparison studies, metaphilosophy, computer simulations, idealization, dialectics, cognitive science, the artistic nature of thought experiments, and metaphysical issues. -/- This broad ranging Companion goes backwards through history and sideways across disciplines. It also engages with philosophical perspectives from empiricism, rationalism, naturalism, skepticism, pluralism, contextualism, and neo-Kantianism to phenomenology. This volume will be valuable for anyone studying the methods of philosophy or any discipline that employs thought experiments, as well as anyone interested in the power and limits of the mind. (shrink)

One cannot adequately understand the persistence of the achievement gap, Darby and Rury argue, until one knows and understands the history that continues to inflict all varieties of dignitary harm on Black people. The authors deploy the phrase, ‘color of mind’, to describe the deeply embedded attitudinal and institutional norms that diminish the intellect, character, and conduct of Black students – norms with a long history that continue to poison the school system. There is, of course, no dearth (...) of American scholarship on these themes, and the reader may be forgiven for thinking she will encounter little that isn’t already known. Fortunately, however, the tack the authors take deviates in several important ways from most scholarship. (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)

I claim that one way thought experiments contribute to scientific progress is by increasing scientific understanding. Understanding does not have a currently accepted characterization in the philosophical literature, but I argue that we already have ways to test for it. For instance, current pedagogical practice often requires that students demonstrate being in either or both of the following two states: 1) Having grasped the meaning of some relevant theory, concept, law or model, 2) Being able to apply that theory, concept, (...) law or model fruitfully to new instances. Three thought experiments are presented which have been important historically in helping us pass these tests, and two others that cause us to fail. Then I use this operationalization of understanding to clarify the relationships between scientific thought experiments, the understanding they produce, and the progress they enable. I conclude that while no specific instance of understanding (thus conceived) is necessary for scientific progress, understanding in general is. (shrink)

In this article, we analyse the evidential value of the corpus of experimental philosophy. While experimental philosophers claim that their studies provide insight into philosophical problems, some philosophers and psychologists have expressed concerns that the findings from these studies lack evidential value. Barriers to evidential value include selection bias and p-hacking. To find out whether the significant findings in x-phi papers result from selection bias or p-hacking, we applied a p-curve analysis to a corpus of 365 x-phi chapters and articles. (...) Our results suggest that this corpus has evidential value, although there are hints of p-hacking in a few parts of the x-phi corpus. (shrink)

Scientists imagine constantly. They do this when generating research problems, designing experiments, interpreting data, troubleshooting, drafting papers and presentations, and giving feedback. But when and how do scientists learn how to use imagination? Across 6 years of ethnographic research, it has been found that advanced career scientists feel comfortable using and discussing imagination, while graduate and undergraduate students of science often do not. In addition, members of marginalized and vulnerable groups tend to express negative views about the strength of their (...) imaginations and the general usefulness of imagination in science. After introducing these findings and discussing the typical relationship between a scientist and their imagination across a career, we argue that reducing the number or power of active imaginations in science is epistemically counterproductive. We suggest several ways to bring imagination back into science in a more inclusive way, especially through courses on imagination for scientists, good role models, and exemplar-based learning. (shrink)

"Adaptation" has several meanings which have often been confused, including relations, processes, states, and intrinsic properties. It is used in comparative and historical contexts. "Adaptation" and "environment" may designate probabilistic concepts. Recognition of these points refutes arguments for the notions that: 1) all organisms are perfectly adapted; 2) organisms cannot be ill-adapted and survive or well-adapted and die; 3) adaptation is necessarily relative to the environment; 4) change in environment is necessary for evolution; 5) preadaptation implies teleology. Such notions are (...) associated with metaphysical ideas, and may affect the thinking of biologists. (shrink)

Uncovers the disturbing underlying principle that American universities reach decisions on economic grounds. Cf. blurb.

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)

Aristotle’s account of friendship has largely withstood the test of time. Yet there are overlooked elements of his account that, when challenged by apparent threats of current and emerging communication technologies, reveal his account to be remarkably prescient. I evaluate the danger that technological advances in communication pose to the future of friendship by examining and defending Aristotle’s claim that perfect or character-friends must live together. I concede that technologically-mediated communication can aid existing character-friendships, but I argue that character-friendships cannot (...) be created and sustained entirely through technological meditation. I examine text-based technologies, such as Facebook and email, and engage a non-text based technology that poses the greatest threat to my thesis—Skype. I then address philosophical literature on friendship and technology that has emerged in the last decade in Ethics and Information Technology to elucidate and defend my account by contrast. I engage Cocking and Matthews (2000), who argue that friendship cannot be created and sustained entirely through text-based contact, Briggle (2008), who argues that friendship can be created and sustained entirely through text-based contact, and Munn (2012), who argues that friendship cannot be created and entirely sustained through text-based contact but can be created and sustained entirely in immersive virtual worlds. My account discusses a certain kind of friendship, character-friendship, and a certain kind of technology, Skype, that these accounts do not. Examination of these essays helps to demonstrate that character friendship cannot be sustained entirely by technologically-aided communication and that character-friends must live together. (shrink)

John D. Norton defends an empiricist epistemology of thought experiments, the central thesis of which is that thought experiments are nothing more than arguments. Philosophers have attempted to provide counterexamples to this claim, but they haven’t convinced Norton. I will point out a more fundamental reason for reformulation that criticizes Norton’s claim that a thought experiment is a good one when its underlying logical form possesses certain desirable properties. I argue that by Norton’s empiricist standards, no thought experiment is ever (...) justified in any deep sense due to the properties of its logical form. Instead, empiricists should consider again the merits of evaluating thought experiments more like laboratory experiments, and less like arguments. (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)

THE problem to be considered here is but a small corner of a much wider difficulty that has persistently impeded the attempt to develop a firm and full understanding of the theory of scientific explanation set out in Aristotle's Analytics. This broader difficulty is precipitated by the existence of two rather substantial groups of texts which seem to point in opposing exegetical directions.