FUNCTIONALISM, FALLIBILISM, AND ANTI–FOUNDATIONALISM IN WIEMAN'S EMPIRICAL THEISM

Abstract. Empirical philosophy of religion is usually appraised in light of its theological uses, rather than in terms of its relation to philosophical forms of empiricism. The present paper examines the empirical theism of Henry Nelson Wieman by relating it to Carl Hempel's critique of functionalism, Karl Popper's use of falsifiability, and the growth of post–empiricist anti–foundationalism in epis–temology. It is concluded that Wieman's argument commits the fallacy of affirming the consequent; that his theistic perspective nevertheless offers an important heuristic device in line with fal–libilism, and that his radical empiricism anticipates recent anti–foundationalist trends.     

Color naming: A mapping in the IMCS of common color terms

This study can be considered a follow-up of the investigations of basic color terms by Berlin & Kay and others following their paradigm. It is complementary to these inasmuch as a different method was used for identifying focal areas and boundaries of common color categories, namely semantic differential scales and isosemantic mapping. Further, colors from the entire color space were studied. No comparisons were made between languages, this study being only concerned with the Swedish language. The purpose of this study was to provide a more thorough mapping of the "spread gradients" in various areas of the NCS color space of color categories as represented by the most common color terms.     

Ecological Effects in Cross‐Cultural Differences Between U.S. and Japanese Color Preferences

We investigated cultural differences between U.S. and Japanese color preferences and the ecological factors that might influence them. Japanese and U.S. color preferences have both similarities (e.g., peaks around blue, troughs around dark‐yellow, and preferences for saturated colors) and differences (Japanese participants like darker colors less than U.S. participants do). Complex gender differences were also evident that did not conform to previously reported effects. Palmer and Schloss's (2010) weighted affective valence estimate (WAVE) procedure was used to test the Ecological Valence Theory's (EVT's) prediction that within‐culture WAVE‐preference correlations should be higher than between‐culture WAVE‐preference correlations. The results supported several, but not all, predictions. In the second experiment, we tested color preferences of Japanese–U.S. multicultural participants who could read and speak both Japanese and English. Multicultural color preferences were intermediate between U.S. and Japanese preferences, consistent with the hypothesis that culturally specific personal experiences during one's lifetime influence color preferences.     

Suggested visual hallucinations in and out of hypnosis

We administered suggestions to see a gray-scale pattern as colored and a colored pattern in shades of gray to 30 high suggestible and eight low suggestible students. The suggestions were administered twice, once following the induction of hypnosis and once without an induction. Besides rating the degree of color they saw in the stimuli differently, participants also rated their states of consciousness as normal, relaxed, hypnotized, or deeply hypnotized. Reports of being hypnotized were limited to highly suggestible participants and only after the hypnotic induction had been administered. Reports of altered color perception were also limited to high suggestibles, but were roughly comparable regardless of whether hypnosis had been induced. These data indicate that suggestible individuals do not slip into a hypnotic state when given imaginative suggestions without the induction of hypnosis, but nevertheless report experiencing difficult suggestions for profound perceptual alterations that are pheonomenologically similar to what they report in hypnosis.     

对偶比较法、等级排列法和两极递进式排序法的比较

排序不仅是科学研究的常用方法,在现实生活中也有着广泛应用,但对于不同排序方法排序结果的比较却鲜有报道.本研究通过颜色偏好实验考察了对偶比较法、等级排列法和两极递进式排序法三种排序方法的稳定性和一致性等指标,并比较了三种方法的优劣.结果表明:三种排序方法在颜色偏好的判断作业中具有较高的稳定性和一致性,其中以对偶比较法的稳定性稍高;三种排序方法在稳定性、经济性、简便性、直观性和适用条件上各有优劣,文末就三种排序方法的应用提出了建议.     

The role of color in human face detection

Significant advances have been made in understanding human face recognition . However, a fundamental aspect of this process, how faces are located in our visual environment, is poorly understood and little studied. Here we examine the role of color in human face detection. We demonstrate that detection performance declines when color information is removed from faces, regardless of whether the surrounding scene context is rendered in color. Furthermore, faces rendered in unnatural colors are hard to detect, suggesting a role beyond simple segmentation. When faces are presented such that half the surface is colored appropriately, and half unnaturally, performance declines. This suggests that observers are not simply using the presence of skin color "patches" to detect faces. Rather, our data suggest that detection operates via a face template combining diagnostic color and face-shape information. These findings are consistent with color-template approaches used in some computer-based face detection systems.     

Knowing color terms enhances recognition: further evidence from English and Himba

Two experiments attempted to reconcile discrepant recent findings relating to children’s color naming and categorization. In a replication of Franklin and colleagues (Journal of Experimental Child Psychology, 90 (2005) 114-141), Experiment 1 tested English toddlers’ naming and memory for blue-green and blue-purple colors. It also found advantages for between-category presentations that could be interpreted as support for universal color categories. However, a different definition of knowing color terms led to quite different conclusions in line with the Whorfian view of Roberson and colleagues (Journal of Experimental Psychology: General, 133 (2004) 554-571). Categorical perception in recognition memory was now found only for children with a fuller understanding of the relevant terms. It was concluded that color naming can both underestimate and overestimate toddlers’ knowledge of color terms. Experiment 2 replicated the between-category recognition superiority found in Himba children by Franklin and colleagues for the blue-purple range. But Himba children, whose language does not have separate terms for green and blue, did not show a cross-category advantage for that set; rather, they behaved like English children who did not know their color terms.     

Processing of color words activates color representations

Two experiments were conducted to investigate whether color representations are routinely activated when color words are processed. Congruency effects of colors and color words were observed in both directions. Lexical decisions on color words were faster when preceding colors matched the color named by the word. Color-discrimination responses were slowed down when preceding color words mismatched the test color even if no task had to be performed on these words. These findings are consistent with the experiential view of language comprehension according to which color perception and the comprehension of color words are based on overlapping representational resources.     

Intelligent vector field visualization based on line integral convolution

In order to reflect the internal motion characteristics of entire vector fields, texture visualization methods based on line integral convolution are usually adopted. However, the visualization results obtained in this way have low image quality. To solve this problem, this paper suggests using line integral convolution to optimize two specific aspects - texture enhancement and color enhancement – to provide an enhanced vector field visualization model. Existing texture enhancement algorithms can create texture aliasing. Based on an analysis of the relationship between vector angles, sampling distance and texture aliasing, the paper puts forward a texture enhancement algorithm that uses the vector angle to adjust the sampling distance of a high-pass filter. This greatly reduces the presence of texture aliasing. For color enhancement, a linear algorithm is usually used that adds vector size information to the vector field. However, the resulting image has a problem of color concentration. In view of this, the distribution characteristics of the vector field are analyzed using a histogram and a dynamic nonlinear color enhancement algorithm is proposed. This noticeably improves the color distribution of the resulting image and improves the overall visual quality of the result.