Darwin's mockingbird -- Do species change? -- Does evolution make big changes? -- Design -- Peaks and valleys -- Islands in the 21st century -- Has there been enough time? -- Did humans evolve? -- Are we still evolving? -- Conclusions.
Parents can benefit their offspring by conserving resources that the offspring stand to inherit. Thus, inheritance of resources should promote the evolution of propensities to conserve. But inheritance also has another, less obvious effect: it can reduce the fertility of the conserver’s grandchildren, thus reducing the expected number of great-grandchildren. Consequently, inheritance of resources promotes the evolution of conservation less than might be supposed.
Philosophy written in English is overwhelmingly analytic philosophy, and the techniques and predilections of analytic philosophy are not only unhistorical but anti-historical, and hostile to textual commentary. Analytic usually aspires to a very high degree of clarity and precision of formulation and argument, and it often seeks to be informed by, and consistent with, current natural science. In an earlier era, analytic philosophy aimed at agreement with ordinary linguistic intuitions or common sense beliefs, or both. All (...) of these aspects of the subject sit uneasily with the use of historical texts for philosophical illumination. In this book, ten distinguished philosophers explore the tensions between, and the possibilities of reconciling, analytic philosophy and history of philosophy. Contributors: M. R. Ayers, John Cottingham, Daniel Garber, Gary Hatfield, Anthony Kenny, Steven Nadler, G. A. J. Rogers, Tom Sorell, Catherine Wilson, Yves Charles Zarka. (shrink)
Most empirical work in human categorization has studied learning in either fully supervised or fully unsupervised scenarios. Most real-world learning scenarios, however, are semi-supervised: Learners receive a great deal of unlabeled information from the world, coupled with occasional experiences in which items are directly labeled by a knowledgeable source. A large body of work in machine learning has investigated how learning can exploit both labeled and unlabeled data provided to a learner. Using equivalences between models found in human categorization and (...) machine learning research, we explain how these semi-supervised techniques can be applied to human learning. A series of experiments are described which show that semi-supervised learning models prove useful for explaining human behavior when exposed to both labeled and unlabeled data. We then discuss some machine learning models that do not have familiar human categorization counterparts. Finally, we discuss some challenges yet to be addressed in the use of semi-supervised models for modeling human categorization. (shrink)
This is the first in a series of occasional volumes of original papers on predefined themes. The Mind Association will nominate an editor or editors for each collection, and may join with other organizations in the promotion of conferences or other scholarly activities in connection with each volume. This collection, published to coincide with the 400th anniversary of Thomas Hobbes's birth, focuses on central themes in his life and work. Including essays by David Gauthier, Noel Malcolm, Arrigo Pacchi, David Raphael, (...) Tom Sorrell, Francois Tricaud, and Richard Tuck, the book testifies to Hobbes's enduring importance as a major philosopher and helps to unravel those aspects of his intellectual biography that are relevant to a proper appreciation of his philosophy. (shrink)
The development of ethical and practice guidelines related to mental health service on the Internet has lagged behind the movement of practitioners into this area. Even for clinicians who are not offering services on the Web, the Internet has led to confusion and concern about proper roles and responsibilities. This article discusses an actual experience we had with a self-described rationally suicidal man with multiple sclerosis (MS). After presenting some background on MS, we report initial interactions with the man verbatim (...) and summarize subsequent correspondence in an analysis of the man's claim that his decision to die was well reasoned and that he should be allowed a physician's assistance. (shrink)
Molecular dynamics (MD) simulations were performed of the structural changes occurring through the liquid?glass transition in Cu?Zr alloys. The total scattering functions (TSF), and their associated primary diffuse scattering peak positions (K p), heights (K h) and full-widths at half maximum (K FWHM) were used as metrics to compare the simulations to high-energy X-ray scattering data. The residuals of difference between the model and experimental TSFs are ?0.03 for the liquids and about 0.07 for the glasses. Over the compositional range (...) studied, Zr1? x Cu x (0.1 ≤ x ≤ 0.9), K p, K h and K FWHM show a strong dependence on composition and temperature. The simulation and experimental data correlate well between each other. MD simulation revealed that the Cu?Zr bonds undergo the largest changes during cooling of the liquid, whereas the Cu?Cu bonds change the least. Changes in the partial-pair correlations are more readily seen in the second and third shells. The Voronoi polyhedra (VP) in glasses are dominated by only a few select types that are compositionally dependent. The relative concentrations of the dominant VPs rapidly change in their relative proportion in the deeply undercooled liquid. The experimentally determined region of best glass formability, x Cu ? 65%, shows the largest temperature dependent changes for the deeply undercooled liquid in the MD simulation. This region also exhibits very strong temperature dependence for the diffusivity and the total energy of the system. These data point to a strong topological change in the best glass-forming alloys and a concurrent change in the VP chemistry in the deeply undercooled liquid. (shrink)
Multimodal brain imaging data have shown increasing utility in answering both scientifically interesting and clinically relevant questions. Each brain imaging technique provides a different view of brain function or structure, while multimodal fusion capitalizes on the strength of each and may uncover hidden relationships that can merge findings from separate neuroimaging studies. However, most current approaches have focused on pair-wise fusion and there is still relatively little work on N-way data fusion and examination of the relationships among multiple data types. (...) We recently developed an approach called “mCCA+jICA" as a novel multi-way fusion method which is able to investigate the disease risk factors that are either shared or distinct across multiple modalities as well as the full correspondence across modalities. In this paper, we applied this model to combine resting state fMRI (amplitude of low-frequency fluctuation, ALFF), grey matter density (GM) and DTI (fractional anisotropy, FA) data, in order to elucidate the abnormalities underlying schizophrenia patients (SZs, n=35) relative to healthy controls (HCs, n=28). Both modality-common and modality-unique abnormal regions were identified in SZs, which were then used for successful classification for 7 modality-combinations, showing the potential for a broad applicability of the mCCA+jICA model and its results. In addition, a pair of GM-DTI components showed significant correlation with the positive symptom subscale of Positive and Negative Syndrome Scale (PANSS), suggesting that gray matter density changes in default model network along with white matter disruption in anterior thalamic radiation are associated with increased positive PANSS. Findings suggest the DTI anisotropy changes in frontal lobe may relate to the corresponding functional/structural changes in prefrontal cortex and superior temporal gyrus that are thought to play a role in the clinical expression of schizophrenia. (shrink)