The extent to which we generalize a novel property from a sample of familiar instances to novel instances depends on the sample composition. Previous property induction experiments have only used samples consisting of novel types (unique entities). Because real‐world evidence samples often contain redundant tokens (repetitions of the same entity), we studied the effects on property induction of adding types and tokens to an observed sample. In Experiments 1–3, we presented participants with a sample of birds or flowers known to (...) have a novel property and probed whether this property generalized to novel items varying in similarity to the initial sample. Increasing the number of novel types (e.g., new birds with the target property) in a sample produced tightening, promoting property generalization to highly similar stimuli but decreasing generalization to less similar stimuli. On the other hand, increasing the number of tokens (e.g., repeated presentations of the same bird with the target property) had little effect on generalization. Experiment 4 showed that repeated tokens are encoded and can benefit recognition, but appear to be given little weight when inferring property generalization. We modified an existing Bayesian model of induction (Navarro, Dry, & Lee, 2012) to account for both the information added by new types and the discounting of information conveyed by tokens. (shrink)

Inductive generalization, where people go beyond the data provided, is a basic cognitive capability, and it underpins theoretical accounts of learning, categorization, and decision making. To complete the inductive leap needed for generalization, people must make a key ‘‘sampling’’ assumption about how the available data were generated. Previous models have considered two extreme possibilities, known as strong and weak sampling. In strong sampling, data are assumed to have been deliberately generated as positive examples of a concept, whereas in weak sampling, (...) data are assumed to have been generated without any restrictions. We develop a more general account of sampling that allows for an intermediate mixture of these two extremes, and we test its usefulness. In two experiments, we show that most people complete simple one-dimensional generalization tasks in a way that is consistent with their believing in some mixture of strong and weak sampling, but that there are large individual differences in the relative emphasis different people give to each type of sampling. We also show experimentally that the relative emphasis of the mixture is influenced by the structure of the available information. We discuss the psychological meaning of mixing strong and weak sampling, and possible extensions of our modeling approach to richer problems of inductive generalization. (shrink)

Human languages vary in many ways but also show striking cross-linguistic universals. Why do these universals exist? Recent theoretical results demonstrate that Bayesian learners transmitting language to each other through iterated learning will converge on a distribution of languages that depends only on their prior biases about language and the quantity of data transmitted at each point; the structure of the world being communicated about plays no role (Griffiths & Kalish, , ). We revisit these findings and show that when (...) certain assumptions about the relationship between language and the world are abandoned, learners will converge to languages that depend on the structure of the world as well as their prior biases. These theoretical results are supported with a series of experiments showing that when human learners acquire language through iterated learning, the ultimate structure of those languages is shaped by the structure of the meanings to be communicated. (shrink)

In recent years quantum probability models have been used to explain many aspects of human decision making, and as such quantum models have been considered a viable alternative to Bayesian models based on classical probability. One criticism that is often leveled at both kinds of models is that they lack a clear interpretation in terms of psychological mechanisms. In this paper we discuss the mechanistic underpinnings of a quantum walk model of human decision making and response time. The quantum walk (...) model is compared to standard sequential sampling models, and the architectural assumptions of both are considered. In particular, we show that the quantum model has a natural interpretation in terms of a cognitive architecture that is both massively parallel and involves both co-operative and competitive interactions between units. Additionally, we introduce a family of models that includes aspects of the classical and quantum walk models. (shrink)

One of the main limitations of natural language‐based approaches to meaning is that they do not incorporate multimodal representations the way humans do. In this study, we evaluate how well different kinds of models account for people's representations of both concrete and abstract concepts. The models we compare include unimodal distributional linguistic models as well as multimodal models which combine linguistic with perceptual or affective information. There are two types of linguistic models: those based on text corpora and those derived (...) from word association data. We present two new studies and a reanalysis of a series of previous studies. The studies demonstrate that both visual and affective multimodal models better capture behavior that reflects human representations than unimodal linguistic models. The size of the multimodal advantage depends on the nature of semantic representations involved, and it is especially pronounced for basic‐level concepts that belong to the same superordinate category. Additional visual and affective features improve the accuracy of linguistic models based on text corpora more than those based on word associations; this suggests systematic qualitative differences between what information is encoded in natural language versus what information is reflected in word associations. Altogether, our work presents new evidence that multimodal information is important for capturing both abstract and concrete words and that fully representing word meaning requires more than purely linguistic information. Implications for both embodied and distributional views of semantic representation are discussed. (shrink)

Everyday reasoning requires more evidence than raw data alone can provide. We explore the idea that people can go beyond this data by reasoning about how the data was sampled. This idea is investigated through an examination of premise non-monotonicity, in which adding premises to a category-based argument weakens rather than strengthens it. Relevance theories explain this phenomenon in terms of people's sensitivity to the relationships among premise items. We show that a Bayesian model of category-based induction taking premise sampling (...) assumptions and category similarity into account complements such theories and yields two important predictions: First, that sensitivity to premise relationships can be violated by inducing a weak sampling assumption; and second, that premise monotonicity should be restored as a result. We test these predictions with an experiment that manipulates people's assumptions in this regard, showing that people draw qualitatively different conclusions in each case. (shrink)

Everyday reasoning requires more evidence than raw data alone can provide. We explore the idea that people can go beyond this data by reasoning about how the data was sampled. This idea is investigated through an examination of premise non‐monotonicity, in which adding premises to a category‐based argument weakens rather than strengthens it. Relevance theories explain this phenomenon in terms of people's sensitivity to the relationships among premise items. We show that a Bayesian model of category‐based induction taking premise sampling (...) assumptions and category similarity into account complements such theories and yields two important predictions: First, that sensitivity to premise relationships can be violated by inducing a weak sampling assumption; and second, that premise monotonicity should be restored as a result. We test these predictions with an experiment that manipulates people's assumptions in this regard, showing that people draw qualitatively different conclusions in each case. (shrink)

Jones & Love (J&L) contend that the Bayesian approach should integrate process constraints with abstract computational analysis. We agree, but argue that the fundamentalist/enlightened dichotomy is a false one: Enlightened research is deeply intertwined with the basic, fundamental work upon which it is based.

This collection of essays explores the metaphysical thesis that the living world is not made up of substantial particles or things, as has often been assumed, but is rather constituted by processes. The biological domain is organised as an interdependent hierarchy of processes, which are stabilised and actively maintained at different timescales. Even entities that intuitively appear to be paradigms of things, such as organisms, are actually better understood as processes. Unlike previous attempts to articulate processual views of biology, which (...) have tended to use Alfred North Whitehead’s panpsychist metaphysics as a foundation, this book takes a naturalistic approach to metaphysics. It submits that the main motivations for replacing an ontology of substances with one of processes are to be found in the empirical findings of science. Biology provides compelling reasons for thinking that the living realm is fundamentally dynamic, and that the existence of things is always conditional on the existence of processes. The phenomenon of life cries out for theories that prioritise processes over things, and it suggests that the central explanandum of biology is not change but rather stability, or more precisely, stability attained through constant change. This edited volume brings together philosophers of science and metaphysicians interested in exploring the consequences of a processual philosophy of biology. The contributors draw on an extremely wide range of biological case studies, and employ a process perspective to cast new light on a number of traditional philosophical problems, such as identity, persistence, and individuality. (shrink)

While the contemporary philosophical literature is replete with discussion of the control or freedom required for moral responsibility, only more recently has substantial attention been devoted to the knowledge or awareness required, otherwise called the epistemic condition. This area of inquiry is rapidly expanding, as are the various positions within it. This chapter introduces two major positions: the reasonable expectation view and the quality of will view. The chapter then explores two dimensions of the epistemic condition that serve as fault (...) lines along which these two views diverge. The first dimension concerns different kinds of ignorance. The second concerns what agents can be directly blameworthy for. The chapter closes by sketching a novel approach that incorporates advantages of opposing positions on this topic. (shrink)

This chapter draws on insights from non-equilibrium thermodynamics to demonstrate the ontological inadequacy of the machine conception of the organism. The thermodynamic character of living systems underlies the importance of metabolism and calls for the adoption of a processual view, exemplified by the Heraclitean metaphor of the stream of life. This alternative conception is explored in its various historical formulations and the extent to which it captures the nature of living systems is examined. Following this, the chapter considers the metaphysical (...) implications of reconceptualizing the organism from complex machine to flowing stream. What do we learn when we reject the mechanical and embrace the processual? Three key lessons for biological ontology are identified. The first is that activity is a necessary condition for existence. The second is that persistence is grounded in the continuous self-maintenance of form. And the third is that order does not entail design. (shrink)

Introduction: sustainable critique and the lost vocation of international relations -- "For we born after:" the challenge of sustainable critique -- Sustainable critique and critical IR theory: against emancipation -- The realist dilemma: politics and the limits of theory -- Communitarian IR theory -- Individualist IR theory: disharmonious cooperation -- Conclusion: toward sustainably critical international theory.

The most important questions in life are questions about what we should do and what we should believe. The first kind of question has received considerable attention by normative ethicists, who search for a complete systematic account of right action. This book is about the second kind of question. Right Belief and True Belief starts by defining a new field of inquiry named 'normative epistemology' that mirrors normative ethics in searching for a systematic account of right belief. The book then (...) lays out and defends a deeply truth-centric account of right belief called `truth-loving epistemic consequentialism.' Truth-loving epistemic consequentialists say that what we should believe (and what credences we should have) can be understood in terms of what conduces to us having the most accurate beliefs (credences). The view straight-forwardly vindicates the popular intuition that epistemic norms are about getting true beliefs and avoiding false beliefs, and it coheres well with how scientists, engineers, and statisticians think about what we should believe. Many epistemologists have rejected similar views in response to several persuasive objections, most famously including trade-off and counting-blades-of-grass objections. Right Belief and True Belief shows how a simple truth-based consequentialist account of epistemic norms can avoid these objections and argues that truth-loving epistemic consequentialism can undergird a general truth-centric approach to many questions in epistemology. (shrink)

Lovejoy (1873-1962) was America's foremost historian of ideas, a major participant in the philosophical debates of the twentieth century, and a prominent advocate of academic freedom. The product of an emotionally unsettled childhood and an evangelical father, Lovejoy reacted against his father by postulating the certainty of self-sufficient reason. He believed that only the principles of reason could order the world and so make our universe intelligible. Originally published in 1980. A UNC Press Enduring Edition -- UNC Press Enduring Editions (...) use the latest in digital technology to make available again books from our distinguished backlist that were previously out of print. These editions are published unaltered from the original, and are presented in affordable paperback formats, bringing readers both historical and cultural value. (shrink)

An engaging and accessible introduction to mathematical proof incorporating ideas from real analysis A mathematical proof is an inferential argument for a mathematical statement. Since the time of the ancient Greek mathematicians, the proof has been a cornerstone of the science of mathematics. The goal of this book is to help students learn to follow and understand the function and structure of mathematical proof and to produce proofs of their own. An Introduction to Proof through Real Analysis is based on (...) course material developed and refined over thirty years by Professor Daniel J. Madden and was designed to function as a complete text for both first proofs and first analysis courses. Written in an engaging and accessible narrative style, this book systematically covers the basic techniques of proof writing, beginning with real numbers and progressing to logic, set theory, topology, and continuity. The book proceeds from natural numbers to rational numbers in a familiar way, and justifies the need for a rigorous definition of real numbers. The mathematical climax of the story it tells is the Intermediate Value Theorem, which justifies the notion that the real numbers are sufficient for solving all geometric problems. • Concentrates solely on designing proofs by placing instruction on proof writing on top of discussions of specific mathematical subjects • Departs from traditional guides to proofs by incorporating elements of both real analysis and algebraic representation • Written in an engaging narrative style to tell the story of proof and its meaning, function, and construction • Uses a particular mathematical idea as the focus of each type of proof presented • Developed from material that has been class-tested and fine-tuned over thirty years in university introductory courses An Introduction to Proof through Real Analysis is the ideal introductory text to proofs for second and third-year undergraduate mathematics students, especially those who have completed a calculus sequence, students learning real analysis for the first time, and those learning proofs for the first time. Daniel J. Madden, PhD, is an Associate Professor of Mathematics at The University of Arizona, Tucson, Arizona, USA. He has taught a junior level course introducing students to the idea of a rigorous proof based on real analysis almost every semester since 1990. Dr. Madden is the winner of the 2015 Southwest Section of the Mathematical Association of America Distinguished Teacher Award. Jason A. Aubrey, PhD, is Assistant Professor of Mathematics and Director, Mathematics Center of the University of Arizona. (shrink)

Ethics for School Leaders: The Human Condition and Organizational Dynamics focuses on the ethically complex situations school leaders face and how they balance a complex array of organizational demands, interpersonal dynamics, and ethical concerns to achieve the greater good for their students and for everyone else in the school environment.

The History and Philosophy of Science: A Reader brings together seminal texts from antiquity to the end of the nineteenth century and makes them accessible in one volume for the first time. With readings from Aristotle, Aquinas, Copernicus, Galileo, Descartes, Newton, Lavoisier, Linnaeus, Darwin, Faraday, and Maxwell, it analyses and discusses major classical, medieval and modern texts and figures from the natural sciences. Grouped by topic to clarify the development of methods and disciplines and the unification of theories, each section (...) includes an introduction, suggestions for further reading and end-of-section discussion questions, allowing students to develop the skills needed to: § read, interpret, and critically engage with central problems and ideas from the history and philosophy of science § understand and evaluate scientific material found in a wide variety of professional and popular settings § appreciate the social and cultural context in which scientific ideas emerge § identify the roles that mathematics plays in scientific inquiry Featuring primary sources in all the core scientific fields - astronomy, physics, chemistry, and the life sciences - The History and Philosophy of Science: A Reader is ideal for students looking to better understand the origins of natural science and the questions asked throughout its history. By taking a thematic approach to introduce influential assumptions, methods and answers, this reader illustrates the implications of an impressive range of values and ideas across the history and philosophy of Western science. (shrink)

This chapter begins with a brief review of the theory of parent-offspring conflict and considers the role of this conflict in the cognitive development of human infants. It then discusses the evolution of theory of mind — which is taken to have its origins in human evolution — and considers how this human cognitive specialization might have interacted with existing parent-offspring dynamics. How the epigenetic systems of infants might have responded is shown by elaborating upon existing cognitive and behavioural systems, (...) or by canalizing later developing ones earlier into development, in order to recruit higher degrees of parental investment. The merits of this framework is assessed in the context of the development of behaviours considered by some researchers to be indicative of a certain degree of social understanding, namely, gaze-following, pointing, social smiling, and neonatal imitation. The chapter concludes by showing how this proposal makes several longstanding theoretical and methodological difficulties for the field of cognitive development even more vexing. (shrink)

This chapter argues that scientific and philosophical progress in our understanding of the living world requires that we abandon a metaphysics of things in favour of one centred on processes. We identify three main empirical motivations for adopting a process ontology in biology: metabolic turnover, life cycles, and ecological interdependence. We show how taking a processual stance in the philosophy of biology enables us to ground existing critiques of essentialism, reductionism, and mechanicism, all of which have traditionally been associated with (...) substance ontology. We illustrate the consequences of embracing an ontology of processes in biology by considering some of its implications for physiology, genetics, evolution, and medicine. And we attempt to locate the subsequent chapters of the book in relation to the position we defend. (shrink)

Winner of the National Business Book Award From the New York Times bestselling author of The Organized Mind and This Is Your Brain on Music, a primer to the critical thinking that is more necessary now than ever We are bombarded with more information each day than our brains can process—especially in election season. It's raining bad data, half-truths, and even outright lies. New York Times bestselling author Daniel J. Levitin shows how to recognize misleading announcements, statistics, graphs, and written (...) reports, revealing the ways lying weasels can use them. It's becoming harder to separate the wheat from the digital chaff. How do we distinguish misinformation, pseudo-facts, and distortions from reliable information? Levitin groups his field guide into two categories—statistical information and faulty arguments—ultimately showing how science is the bedrock of critical thinking. Infoliteracy means understanding that there are hierarchies of source quality and bias that variously distort our information feeds via every media channel, including social media. We may expect newspapers, bloggers, the government, and Wikipedia to be factually and logically correct, but they so often aren't. We need to think critically about the words and numbers we encounter if we want to be successful at work, at play, and in making the most of our lives. This means checking the plausibility and reasoning—not passively accepting information, repeating it, and making decisions based on it. Readers learn to avoid the extremes of passive gullibility and cynical rejection. Levitin's charming, entertaining, accessible guide can help anyone wake up to a whole lot of things that aren't so. And catch some weasels in their tracks! (shrink)

In this book Daly attempts to forge a new ethical approach to issues of social structures, an area of thought deficient in traditional Catholic ethics. Daly argues that the concept of the structures of virtue and vice provide the best ethical lens with which to scrutinize the effects of social structures on personal character and the well-being of the community. His argument relies on two premises: First, he considers the nexus between structures and individual moral agency - arguing that Catholic (...) ethics has failed to account for these realities adequately. The second premise concerns virtue theory, once again emphasizing the importance of accounting for the individual when approaching societal ethics. With the establishment of these premises, Daly furthers the book's ultimate goal: the development of ethical concepts capable of scrutinizing social structures regarding how they shape personal moral character, as well as how they causally impact the well-being of people and groups. Drawing on the works of Thomas Aquinas as well as social theories such as critical realism, Daly fills a lacuna in Catholic ethics that addresses the structure-agency problem that has plagued this field of study. (shrink)

Leibniz was interested in Jews and Judaism not only within the framework of his philosophy, but also within his studies as a lawyer, librarian, ecumenical theologian, and on a personal basis as resident of Hannover. However, research has so far neglected his attitude towards Judaism and its expression in Jewish religion, the Kabbala, the Hebrew Bible, the Rabbinic tradition, and even his Jewish contemporaries, their works and their legal status. This volume closes the gap by presenting the results of an (...) international conference in Potsdam, where notable Leibniz scholars discussed his attitudes towards Jews and Judaism and studied them from a variety of perspectives. German info text: Leibniz beschaftigte sich nicht nur in seiner Philosophie, sondern auch in seinen Arbeiten als Jurist, als Bibliothekar, als theologischer Okumeniker und nicht zuletzt in seinem Alltagsleben in der Residenz Hannover immer wieder mit Juden und mit Judentum. Dennoch wurde bisher in der Forschung seine Einstellung zum Judentum kaum durchleuchtet etwa zur juedischen Religion, zur Kabbala, zur hebraischen Bibel und rabbinischen Tradition oder zu seinen juedischen Zeitgenossen selbst, ihren Werken und ihrer Rechtsstellung. Hier blieb die Analyse von Leibniz personlicher Haltung und theoretischer Reflexion ein Desiderat. Diese Forschungsluecke schlieat der vorliegende Band. Er prasentiert die Ergebnisse einer internationalen Konferenz in Potsdam, auf der ausgewiesene Leibniz-Forscher dessen Verhaltnis zu Judentum und Juden diskutierten und aus unterschiedlichen Perspektiven in den Blick nahmen. (shrink)

Regulatory agencies in the United States have relied increasingly on consensus-based decision processes to build public support for their policies. If they are well-designed and managed effectively, consensus-based processes may increase support for an agency’s policies and enhance its institutional legitimacy. But poorly-designed processes may lead to a consensus trap, in which an agency commits to making decisions based on a consensus the participants will never be able to achieve. Two recent initiatives of the U.S. Environmental Protection Agency - negotiated (...) rule making and the Common Sense Initiative - suggest factors that may be associated with more and less sucessful consensus-based processes. (shrink)

This book explores comparative political theory through the study of a range of places and periods with contributions from a diverse group of scholars. The volume builds on recent work in political theory, seeking to focus scholarly attention on non-Western thought in order to contribute to both political theory and our understanding of the modern globalized world. Featuring discussions of international law and imperialism, regions such as South Asia and Latin America, religions such as Buddhism and Islam, along with imperialism (...) and revolution, the volume also includes an overview of comparative political theory. Contributing scholars deploy a variety of methodological and interpretive approaches, ranging from archival research to fieldwork to close studies of texts in the original language. The volume elucidates the pluralism and dissensus that characterizes both cross-national and intra-national political thought. (shrink)