This long-awaited work by prominent Harvard psychologist Stephen Kosslyn integrates a twenty-year research program on the nature of high-level vision and mental ...

This book explores the scope and limits of the concept of personDS a vexed question in contemporary philosophy. The author begins by questioning the methodology of thought-experimentation, arguing that it engenders inconclusive and unconvincing results, and that truth is stranger than fiction. She then examines an assortment of real-life conditions, including infancy, insanity andx dementia, dissociated states, and split brains. The popular faith in continuity of consciousness, and the unity of the person is subjected to sustained criticism. The author concludes (...) with a look at different views of the person found in Homer, Aristotle, the post-Cartesians, and contemporary cognitive science. (shrink)

How do novel scientific concepts arise? In Creating Scientific Concepts, Nancy Nersessian seeks to answer this central but virtually unasked question in the problem of conceptual change. She argues that the popular image of novel concepts and profound insight bursting forth in a blinding flash of inspiration is mistaken. Instead, novel concepts are shown to arise out of the interplay of three factors: an attempt to solve specific problems; the use of conceptual, analytical, and material resources provided by the cognitive-social-cultural (...) context of the problem; and dynamic processes of reasoning that extend ordinary cognition. Focusing on the third factor, Nersessian draws on cognitive science research and historical accounts of scientific practices to show how scientific and ordinary cognition lie on a continuum, and how problem-solving practices in one illuminate practices in the other. (shrink)

Miller (1956) summarized evidence that people can remember about seven chunks in short-term memory (STM) tasks. However, that number was meant more as a rough estimate and a rhetorical device than as a real capacity limit. Others have since suggested that there is a more precise capacity limit, but that it is only three to five chunks. The present target article brings together a wide variety of data on capacity limits suggesting that the smaller capacity limit is real. Capacity limits (...) will be useful in analyses of information processing only if the boundary conditions for observing them can be carefully described. Four basic conditions in which chunks can be identified and capacity limits can accordingly be observed are: (1) when information overload limits chunks to individual stimulus items, (2) when other steps are taken specifically to block the recoding of stimulus items into larger chunks, (3) in performance discontinuities caused by the capacity limit, and (4) in various indirect effects of the capacity limit. Under these conditions, rehearsal and long-term memory cannot be used to combine stimulus items into chunks of an unknown size; nor can storage mechanisms that are not capacity-limited, such as sensory memory, allow the capacity-limited storage mechanism to be refilled during recall. A single, central capacity limit averaging about four chunks is implicated along with other, noncapacity-limited sources. The pure STM capacity limit expressed in chunks is distinguished from compound STM limits obtained when the number of separately held chunks is unclear. Reasons why pure capacity estimates fall within a narrow range are discussed and a capacity limit for the focus of attention is proposed. Key Words: attention; enumeration; information chunks; memory capacity; processing capacity; processing channels; serial recall; short-term memory; storage capacity; verbal recall; working memory capacity. (shrink)

"Charles Taylor presents a fundamental challenge to neoliberal apologists for the new world order--but not only to them.

As a work of social theory, I would argue that it belongs in a class with the writings of Habermas and Arendt". -- Jay Bernstein, University of Essex This is one of the most original and important works of contemporary European thought.

This innovative book focuses on the development of the gene theory as a case study in scientific creativity.

One of the most influential philosophers in the English-speaking world, Charles Taylor is internationally renowned for his contributions to political and moral theory, particularly to debates about identity formation, multiculturalism, secularism, and modernity. In _Modern Social Imaginaries,_ Taylor continues his recent reflections on the theme of multiple modernities. To account for the differences among modernities, Taylor sets out his idea of the social imaginary, a broad understanding of the way a given people imagine their collective social life. Retelling the history (...) of Western modernity, Taylor traces the development of a distinct social imaginary. Animated by the idea of a moral order based on the mutual benefit of equal participants, the Western social imaginary is characterized by three key cultural forms—the economy, the public sphere, and self-governance. Taylor’s account of these cultural formations provides a fresh perspective on how to read the specifics of Western modernity: how we came to imagine society primarily as an economy for exchanging goods and services to promote mutual prosperity, how we began to imagine the public sphere as a metaphorical place for deliberation and discussion among strangers on issues of mutual concern, and how we invented the idea of a self-governing people capable of secular “founding” acts without recourse to transcendent principles. Accessible in length and style, _Modern Social Imaginaries_ offers a clear and concise framework for understanding the structure of modern life in the West and the different forms modernity has taken around the world. (shrink)

The guiding thread of this book is the distinction Colin McGinn draws between perception and imagination.

As Hume famously claimed, we are nowhere more free than in our imagination. While this feature of imagination suggests that imagination has a crucial role to play in modal epistemology, it also suggests that imagining cannot provide us with any non-modal knowledge about the world in which we live. This chapter rejects this latter suggestion. Instead it offers an account of “imagining under constraints,” providing a framework for showing when and how an imaginative project can play a justificatory role with (...) respect to our beliefs about the world. That we can be free in our imaginings does not show that they must proceed unfettered; as is argued, our ability to constrain our imaginings in light of facts about the world enables us to learn from them. The important upshot is that imagination has considerably more epistemic significance than previously thought. (shrink)

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

It is generally accepted that there is something special about reasoning by using mental images. The question of how it is special, however, has never been satisfactorily spelled out, despite more than thirty years of research in the post-behaviorist tradition. This article considers some of the general motivation for the assumption that entertaining mental images involves inspecting a picture-like object. It sets out a distinction between phenomena attributable to the nature of mind to what is called the cognitive architecture, and (...) ones that are attributable to tacit knowledge used to simulate what would happen in a visual situation. With this distinction in mind, the paper then considers in detail the widely held assumption that in some important sense images are spatially displayed or are depictive, and that examining images uses the same mechanisms that are deployed in visual perception. I argue that the assumption of the spatial or depictive nature of images is only explanatory if taken literally, as a claim about how images are physically instantiated in the brain, and that the literal view fails for a number of empirical reasons – for example, because of the cognitive penetrability of the phenomena cited in its favor. Similarly, while it is arguably the case that imagery and vision involve some of the same mechanisms, this tells us very little about the nature of mental imagery and does not support claims about the pictorial nature of mental images. Finally, I consider whether recent neuroscience evidence clarifies the debate over the nature of mental images. I claim that when such questions as whether images are depictive or spatial are formulated more clearly, the evidence does not provide support for the picture-theory over a symbol-structure theory of mental imagery. Even if all the empirical claims were true, they do not warrant the conclusion that many people have drawn from them: that mental images are depictive or are displayed in some (possibly cortical) space. Such a conclusion is incompatible with what is known about how images function in thought. We are then left with the provisional counterintuitive conclusion that the available evidence does not support rejection of what I call the “null hypothesis”; namely, that reasoning with mental images involves the same form of representation and the same processes as that of reasoning in general, except that the content or subject matter of thoughts experienced as images includes information about how things would look. (shrink)

Supposition is frequently invoked in many fields within philosophy, including aesthetics, philosophy of mind, philosophy of science and epistemology. However, there is a striking lack of consensus about the nature of supposition. What is supposition? Is supposition a sui generis type of mental state or is it reducible to some other type of mental state? These are the main questions Margherita Arcangeli explores in this book. She examines the characteristic features of supposition, along the dimensions of phenomenology and emotionality, among (...) others, in a journey through the imaginative realm. An informed answer to the question “What is supposition?” must involve an analysis of imagination, since supposition is so often defined in opposition to the latter. She assesses rival explanations of supposition putting forward a novel view, according to which the proper way of seeing supposition is as a primitive type of imaginative state. Supposition and the Imaginative Realm: A Philosophical Inquiry will be of great interest to students of philosophy of psychology, aesthetics, philosophy of mind, philosophy of science and epistemology. (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.

This article introduces an account of moral education grounded in Zagzebski’s recent Exemplarist Moral Theory and discusses two problems that have to be solved for the account to become a realistic alternative to other educational models on the market, namely the limited-applicability problem and the problem of indoctrination. The first problem raises worries about the viability of the account in ordinary circumstances. The second charges the proposed educational model with indoctrinating students. The main goal of this article is to show (...) how an exemplar-based account of moral education can handle both problems without compromising its structure and upshot. (shrink)

This paper surveys historical and recent philosophical discussions of the relations between imagination and creativity. In the first two sections, it covers two insufficiently studied analyses of the creative imagination, that of Kant and Sartre, respectively. The next section discusses imagination and its role in scientific discovery, with particular emphasis on the writings of Michael Polanyi, and on thought experiments and experimental design. The final section offers a brief discussion of some very recent work done on conceptual relations between imagination (...) and creativity. (shrink)

In this fascinating autobiography from the foremost genius of twentieth-century physics, Max Planck tells the story of his life, his aims, and his thinking. Published posthumously, the papers in this volume were written for the general reader and make accessible his scientific theories as well as his philosophical ideals, including his thoughts on ethics and morals. Max (Karl Ernst Ludwig) Planck was a German physicist and philosopher known for his quantum theory, for which he won the Nobel Prize in Physics (...) in 1918. Planck was born in Kiel, Germany, in 1858 to an academic family, and he valued education from a young age. He attended the Universities of Munich and Berlin to study physics under the great scientific leaders Kirchhoff and Helmholtz. His early work mainly focused on the study of thermodynamics, and in 1900 he published a paper on his quantum theory that would change the face of modern physics. Planck worked as a professor at Berlin University his entire life, and he also served as the president of the Kaiser Wilhelm Society for the Promotion of Science. During World War II, Planck experienced great hardships while he remained in Germany but openly opposed the Nazi regime. One of his two sons was executed during this time for an unsuccessful attempt on Hitler's life, and Planck's home in Berlin was eventually bombed. He continued to write on physics and philosophy until his death in 1947. (shrink)

Novel computational representations, such as simulation models of complex systems and video games for scientific discovery, are dramatically changing the way discoveries emerge in science and engineering. The cognitive roles played by such computational representations in discovery are not well understood. We present a theoretical analysis of the cognitive roles such representations play, based on an ethnographic study of the building of computational models in a systems biology laboratory. Specifically, we focus on a case of model-building by an engineer that (...) led to a remarkable discovery in basic bioscience. Accounting for such discoveries requires a distributed cognition analysis, as DC focuses on the roles played by external representations in cognitive processes. However, DC analyses by and large have not examined scientific discovery, and they mostly focus on memory offloading, particularly how the use of existing external representations changes the nature of cognitive tasks. In contrast, we study discovery processes and argue that discoveries emerge from the processes of building the computational representation. The building process integrates manipulations in imagination and in the representation, creating a coupled cognitive system of model and modeler, where the model is incorporated into the modeler's imagination. This account extends DC significantly, and we present some of the theoretical and application implications of this extended account. (shrink)

In this follow-up to the highly successful _Ethnography Unbound,_ Michael Burawoy and nine colleagues break the bounds of conventional sociology, to explore the mutual shaping of local struggles and global forces. In contrast to the lofty debates between radical theorists, these nine studies excavate the dynamics and histories of globalization by extending out from the concrete, everyday world. The authors were participant observers in diverse struggles over extending citizenship, medicalizing breast cancer, dumping toxic waste, privatizing nursing homes, the degradation of (...) work, the withdrawal of welfare rights, and the elaboration of body politics. From their insider vantage points, they show how groups negotiate, circumvent, challenge, and even re-create the complex global web that entangles them. Traversing continents and extending over three years, this collaborative research developed its own distinctive method of "grounded globalization" to grasp the evaporation of traditional workplaces, the dissolution of enclaved communities, and the fluidity of identities. Forged between the local and global, these compelling essays make a powerful case for ethnography's insight into global dynamics. (shrink)

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)

A leading scholar in the psychology of thinking and reasoning argues that the counterfactual imagination—the creation of "if only" alternatives to ...

The ability to think of something not presently perceived, but spatio-temporally real. (2) The ability to think of whatever one acknowledges as possible in the spatio-temporal world. (3) The liability to think of something that the subject believes to be real, but which is not. (4) The ability to think of things that one conceives of as fictional. (5) The ability to entertain mental images. (6) The ability to think of anything at all. (7) The non-rational operations of the mind, (...) that is, those explicable in terms of causes rather than reasons. (8) The ability to form perceptual beliefs about public objects in space and time. (9) The ability to sensuously appreciate works of art or objects of natural beauty without classifying them under concepts or thinking of them as useful. (10) The ability to create works of art that encourage such sensuous appreciation. (11) The ability to appreciate things that are expressive or revelatory of the meaning of human life. (12) The ability to create works of art that express something deep about the meaning of life. (shrink)

The term conceptual simulation refers to a type of everyday reasoning strategy commonly called “what if” reasoning. It has been suggested in a number of contexts that this type of reasoning plays an important role in scientific discovery; however, little direct evidence exists to support this claim. This article proposes that conceptual simulation is likely to be used in situations of informational uncertainty, and may be used to help scientists resolve that uncertainty. We conducted two studies to investigate the relationship (...) between conceptual simulation and informational uncertainty. Study 1 was an in vivo study of expert scientists; the results suggest that scientists do use conceptual simulation in situations of informational uncertainty, and that they use conceptual simulation to make inferences from their data using the analogical reasoning process of alignment by similarity detection. Study 2 experimentally manipulated experts' level of uncertainty and provides further support for the hypothesis that conceptual simulation is more likely to be used in situations of informational uncertainty. Finally, we discuss the relationship between conceptual simulation and other types of reasoning using qualitative mental models. (shrink)

Mahadevan (2018, AAAI Conference. https://people.cs.umass.edu/~mahadeva/papers/aaai2018-imagination.pdf) proposes that we are at the cusp of imagination science, one of whose primary concerns will be the design of imagination machines. Programs have been written that are capable of generating jokes (Kim Binsted’s JAPE), producing line-drawings that have been exhibited at such galleries as the Tate (Harold Cohen’s AARON), composing music in several styles reminiscent of such greats as Vivaldi and Mozart (David Cope’s Emmy), proving geometry theorems (Herb Gelernter’s IBM program), and inducing quantitative (...) laws from empirical data (Pat Langley, Gary Bradshaw, Jan Zytkow, and Herbert Simon’s BACON). In recent years, Dartmouth has been hosting Turing Tests in creativity in three categories: short stories, sonnets, and dance music DJ sets. In this post, I will provide a brief and non-exhaustive survey of some plausible responses to these imagination machines and the related prospects for our understanding of the imagination. (shrink)

The question of how concepts are formed was central for positivist and operationalist philosophers concerned to root scientific thought directly in experience. Although the positivist program has been abandoned, the current interest in the philosophy of scientific discovery shows the need for a theory of conceptual development. This paper offers a theory of how new concepts can arise, not by abstraction from experience or by definition, but by conceptual combination. Such combination produces a new concept as a non-linear, non-definitional amalgam (...) of existing concepts. After proposing rules intended to account for a variety of mundane cases of conceptual combination, the paper presents several illustrations of how scientific concepts have arisen through combination. (shrink)

Many scientific discoveries have depended on external diagrams or visualizations. Many scientists also report to use an internal mental representation or mental imagery to help them solve problems and reason. How do scientists connect these internal and external representations? We examined working scientists as they worked on external scientific visualizations. We coded the number and type of spatial transformations (mental operations that scientists used on internal or external representations or images) and found that there were a very large number of (...) comparisons, either between different visualizations or between a visualization and the scientists’ internal mental representation. We found that when scientists compared visualization to visualization, the comparisons were based primarily on features. However, when scientists compared a visualization to their mental representation, they were attempting to align the two representations. We suggest that this alignment process is how scientists connect internal and external representations. (shrink)