This book examines Aristotle's metaphysics and his account of nature, stressing the ways in which his desire to explain observed natural processes shaped his philosophical thought. It departs radically from a tradition of interpretation, in which Aristotle is understood to have approached problems with a set of abstract principles in hand, principles derived from critical reflection on the views of his predecessors. A central example of the book interprets Aristotle's essentialism as deriving from an examination of the kinds of unity (...) that various sorts of things have: elemental motion, alteration, transformation and the growth of organisms. An important conclusion of this argument is that an essence may, under certain circumstances, lack some of its essential attributes. This is a major re-evaluation of Aristotle's metaphysics that will interest philosophers, classicists and historians of science. (shrink)

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In the Physics, 4.3.211b5-9, 212a2-6, Aristotle argues that place is “the limit of the surrounding body, at which it is in contact with that which is surrounded.” He then continues.

For more than six decades, and for thousands of students, Introduction to Logic has been the gold standard in introductory logic texts. In this 15th Edition, Carl Cohen and Victor Rodych update Irving M. Copi's classic text, improving on its many strengths and introducing new and helpful material that will greatly assist both students and instructors.

Previous experiments have shown a serial-position effect (SPE) in paired-associate (PA) learning where the pairs contained stimuli pre- viously learned in serial order. The present experiment extended the number of pairs from 10 to 14. Pairs containing stimuli from terminal serial positions were learned with significantly fewer errors than pairs whose stimuli derived from central positions. The latter produced a dip in the PA error distribution suggesting the presence of sequential associations in SL between items occupying central positions.

One hypothesis concerning the human dorsal anterior cingulate cortex (ACC) is that it functions, in part, to signal the occurrence of conflicts in information processing, thereby triggering compensatory adjustments in cognitive control. Since this idea was first proposed, a great deal of relevant empirical evidence has accrued. This evidence has largely corroborated the conflict-monitoring hypothesis, and some very recent work has provided striking new support for the theory. At the same time, other findings have posed specific challenges, especially concerning the (...) way the theory addresses the processing of errors. Recent research has also begun to shed light on the larger function of the ACC, suggesting some new possibilities concerning how conflict monitoring might fit into the cingulate's overall role in cognition and action. (shrink)

When applied in the health sector, AI-based applications raise not only ethical but legal and safety concerns, where algorithms trained on data from majority populations can generate less accurate or reliable results for minorities and other disadvantaged groups.

In this study, a 20-item questionnaire was used to elicit undergraduates’ (N = 93) ethical judgment and behavioral intention regarding a number of behaviors involving computers and internet usage. Machiavellianism was found to be uncorrelated with both ethical judgment and behavioral intention. Gender was found to be negatively correlated with both ethical judgment and behavioral intention, such that females judged the behaviors as being less ethical than males, and were less likely to engage in the behaviors than males. A disconnect (...) was found between ethical judgment and behavioral intention, for both males and females, such that the ethical judgment mean for a number of issues was significantly lower (towards the “unethical” end of the continuum) than the behavioral intention mean (towards the “more likely to engage in” end of the continuum). The study raises questions regarding ethical awareness of technology-related issues, and the authors make suggestions for future research. (shrink)

Background: While religious faith remains one of the most significant features of human life, little is known about its relationship to ordinary belief at the level of the brain. Nor is it known whether religious believers and nonbelievers differ in how they evaluate statements of fact. Our lab previously has used functional neuroimaging to study belief as a general mode of cognition, and others have looked specifically at religious belief. However, no research has compared these two states of mind directly. (...) Methodology/Principal Findings: We used functional magnetic resonance imaging to measure signal changes in the brains of thirty subjects - fifteen committed Christians and fifteen nonbelievers - as they evaluated the truth and falsity of religious and nonreligious propositions. For both groups, and in both categories of stimuli, belief was associated with greater signal in the ventromedial prefrontal cortex, an area important for self-representation, emotional associations, reward, and goal-driven behavior. This region showed greater signal whether subjects believed statements about God, the Virgin Birth, etc. or statements about ordinary facts. A comparison of both stimulus categories suggests that religious thinking is more associated with brain regions that govern emotion, self-representation, and cognitive conflict, while thinking about ordinary facts is more reliant upon memory retrieval networks. Conclusions/Significance: While religious and nonreligious thinking differentially engage broad regions of the frontal, parietal, and medial temporal lobes, the difference between belief and disbelief appears to be content-independent. Our study compares religious thinking with ordinary cognition and, as such, constitutes a step toward developing a neuropsychology of religion. However, these findings may also further our understanding of how the brain accepts statements of all kinds to be valid descriptions of the world. © 2009 Harris et al. (shrink)

For centuries, philosophers have debated the question of free will. Do we make our own choices? Or are we more like rudderless ships drifting on the ocean, buffeted by winds and currents outside ourselves? In TK, research psychologist Ken Sheldon reveals that the way we answer these questions has serious implications for our wellbeing. We may never know for certain whether free will exists, Sheldon argues, but recent studies have found that believing in free will matters-indeed, it's an (...) essential component of psychological health. Freely Determined offers an argument for embracing our capacity to choose our own destiny, and a guide for how we might recognize our freedom and use it wisely. Drawing on his own groundbreaking work on motivation, as well as recent research in personality science and social psychology, Sheldon shows us that far from being in the thrall of animal urges and unconscious biases, we humans are constantly making conscious choices: whether to eat the nachos or the salad, whether to shoot the basketball or pass it to a teammate, whether to take that job or marry that person or write that novella. Indeed, over decades of research, Sheldon has established that seeing ourselves as change-makers in our own lives, and in the world, helps us feel happier and even behave more ethically. By identifying and pursuing our deepest values, he argues, we can set and achieve meaningful goals, ones that will help us and our communities flourish. Offering readers insight into how they can live a more self-directed, satisfying life, Freely Determined demystifies the science of choice and reveals that we are radically free to live with greater purpose. (shrink)

Applying machine learning algorithms to automatically infer relationships between concepts from large-scale collections of documents presents a unique opportunity to investigate at scale how human semantic knowledge is organized, how people use it to make fundamental judgments (“How similar are cats and bears?”), and how these judgments depend on the features that describe concepts (e.g., size, furriness). However, efforts to date have exhibited a substantial discrepancy between algorithm predictions and human empirical judgments. Here, we introduce a novel approach to generating (...) embeddings for this purpose motivated by the idea that semantic context plays a critical role in human judgment. We leverage this idea by constraining the topic or domain from which documents used for generating embeddings are drawn (e.g., referring to the natural world vs. transportation apparatus). Specifically, we trained state-of-the-art machine learning algorithms using contextually-constrained text corpora (domain-specific subsets of Wikipedia articles, 50+ million words each) and showed that this procedure greatly improved predictions of empirical similarity judgments and feature ratings of contextually relevant concepts. Furthermore, we describe a novel, computationally tractable method for improving predictions of contextually-unconstrained embedding models based on dimensionality reduction of their internal representation to a small number of contextually relevant semantic features. By improving the correspondence between predictions derived automatically by machine learning methods using vast amounts of data and more limited, but direct empirical measurements of human judgments, our approach may help leverage the availability of online corpora to better understand the structure of human semantic representations and how people make judgments based on those. (shrink)

Cognitive Science, Volume 46, Issue 2, February 2022.

The genes involved in methionine biosynthesis are scattered throughout the Escherichia coli chromosome and are controlled in a similar but not coordinated manner. The product of the metJ gene and S‐adenosylmethionine are involved in the repression of this ‘regulon’.