Taking Anthropogenic global warming as its framing example this paper develops an ethics of inquiry and public discourse influenced by Rawlsian public reason. The need to embrace scientific fact during civil discourse on topics of moral and political controversy is stressed as an ethical mandate. The paper argues: (1) ethicists have a moral obligation to recognize scientific consensus when relevant to ethical discussions. (2) The failure to condemn science denialism when it interferes with the public’s understanding of ethical issues is (...) itself a moral failure (especially in an educational setting). (3) The endorsed ethics of inquiry and public discourse encourages epistemic virtues that are desirable among members of a pluralistic society. (shrink)

Modern life sciences research is increasingly relying on artificial intelligence (AI) approaches to model biological systems, primarily centered around the use of machine learning (ML) models. Although ML is undeniably useful for identifying patterns in large, complex data sets, its widespread application in biological sciences represents a significant deviation from traditional methods of scientific inquiry. As such, the interplay between these models and scientific understanding in biology is a topic with important implications for the future of scientific research, yet it (...) is a subject that has received little attention. Here, we draw from an epistemological toolkit to contextualize recent applications of ML in biological sciences under modern philosophical theories of understanding, identifying general principles that can guide the design and application of ML systems to model biological phenomena and advance scientific knowledge. We propose that conceptions of scientific understanding as information compression, qualitative intelligibility, and dependency relation modelling provide a useful framework for interpreting ML-mediated understanding of biological systems. Through a detailed analysis of two key application areas of ML in modern biological research – protein structure prediction and single cell RNA-sequencing – we explore how these features have thus far enabled ML systems to advance scientific understanding of their target phenomena, how they may guide the development of future ML models, and the key obstacles that remain in preventing ML from achieving its potential as a tool for biological discovery. Consideration of the epistemological features of ML applications in biology will improve the prospects of these methods to solve important problems and advance scientific understanding of living systems. (shrink)

Concepto es una palabra que refiere a un constructo problemático en la psicología cognitiva y en la filosofía de la mente, el cual indistintamente refiere a cierto tipo de representaciones mentales, a entidades extramentales e incluso a habilidades psicológicas. Lo cierto es que las teorías de conceptos emblemáticas al interior de la filosofía y la psicología, como la Teoría Clásica de conceptos (entendidos como definiciones aristotélicas), o como la Teoría de Prototipos de Rosch (entendidos como estructuras estadísticas de datos), no (...) logran dar cuenta de fenómenos tales como la productividad, la sistematicidad y la composicionalidad del pensamiento humano. Se analizarán los requisitos que una buena teoría psicológica sobre los conceptos debe satisfacer, y se presentará un breve esbozo de la Teoría de Sistemas de Símbolos Perceptuales de Lawrence Barsalou. (shrink)

Although recent work has been done on the Barnes Foundation and its philosophical and pedagogical background, almost all the research effort has been focused on the friendship and intellectual link between John Dewey and Albert C. Barnes. Unfortunately, to the best of our knowledge, the impact of George Santayana’s philosophy on the Foundation has not been systematically examined. The hypothesis that we present and develop in this article is that Santayana’s thought is essential for the aesthetic theories elaborated within the (...) framework of the Barnes Foundation: Barnes’ theory of art criticism; Dewey’s aesthetic theory, and even Lawerence Buermeyer’s aesthetic theory. This article is a first approximation with the purpose of clarifying these philosophical, theoretical and historical relationship so as to start to fill the existing gap in contemporary literature on the topic. (shrink)

Psychological construction represents an important new approach to psychological phenomena, one that has the promise to help us reconceptualize the mind both as a behavioral and as a biological system. It has so far been developed in the greatest detail for emotion, but it has important implications for how researchers approach other mental phenomena such as reasoning, memory, and language use. Its key contention is that phenomena that are characterized in (folk) psychological vocabulary are not themselves basic features of the (...) mind, but are constructed from more basic psychological operations. The framework of mechanistic explanation, currently under development in philosophy of science, can provide a useful perspective on the psychological construction approach. A central insight of the mechanistic account of explanation is that biological and psychological phenomena result from mechanisms in which component parts and operations do not individually exhibit the phenomena of interest but function together in an orchestrated and sometimes in a complex dynamical manner to generate it. While at times acknowledging the compatibility of the mechanist approach with constructionist approach (Lindquist, Wager, Kober, Bliss-Moreau, & Barrett, 2012), proponents of the constructionist approach have at other times pitched their approach as anti-mechanist. For example, Barrett (2009) claims that the psychological constructionist approach rejects machines as the primary metaphor for understanding the mind, instead favoring a recipe metaphor; constructionism also purportedly rejects the “mechanistic” picture of causation, which it portrays as linear or sequential in nature (see also Barrett, Wilson-Mendenhall, & Barsalou, in press). While some mechanistic accounts do fit this description, we will see that the mechanisms generating phenomena can be complex and dynamic, producing phenomena far less stereotypic and more adaptive than people often associate with machines. Our goal, however, is not just to render constructionism and mechanism compatible. Philosophers of science have been examining the nature of mechanistic explanation in biology with the goal of gaining new insights into the operation of science. We will identify some of the places where the mechanistic account can shed new light on the constructionist project. (shrink)

The perceptual symbol system view assumes that perceptual representations have a role-argument structure. A role-argument structure is often incorporated into amodal symbol systems in order to explain conceptual functions like abstraction and rule use. The power of perceptual symbol systems to support conceptual functions is likewise rooted in its use of structure. On Barsalou's account, this capacity to use structure (in the form of frames) must be innate.