Explanatory Judgment, Probability, and Abductive Inference

Abductive reasoning assigns special status to the explanatory power of a hypothesis. But how do people make explanatory judgments? Our study clarifies this issue by asking: (i) How does the explanatory power of a hypothesis cohere with other cognitive factors? (ii) How does probabilistic information affect explanatory judgments? In order to answer these questions, we conducted an experiment with 671 participants. Their task was to make judgments about a potentially explanatory hypothesis and its cognitive virtues. In the responses, we isolated three constructs: Explanatory Value, Rational Acceptability, and Entailment. Explanatory judgments strongly cohered with judgments of causal relevance and with a sense of understanding. Furthermore, we found that Explanatory Value was sensitive to manipulations of statistical relevance relations between hypothesis and evidence, but not to explicit information about the prior probability of the hypothesis. These results indicate that probabilistic information about statistical relevance is a strong determinant of Explanatory Value. More generally, our study suggests that abductive and probabilistic reasoning are two distinct modes of inference

Improving User Experience and Performance through Gamification of MI-BCI Training

Motor Imagery Brain-Computer Interfaces (MI-BCI) decode brain patterns associated with motor intentions into control commands for a variety of applications, bypassing traditional motor inputs. To use these systems, the user must produce identifiable and stable MI patterns, which requires multiple training sessions in a lab. However, MI-BCI training protocols are often repetitive and suboptimal as some users remain incapable of BCI control. This problem, known as BCI illiteracy/deficiency, has been related to psychological and cognitive factors such as motivation and attention. While some studies have tried to improve users’ MI skills and BCI performance through enriched feedback or motor priming, a unified protocol that considers various aspects of user training has not yet been introduced. The current study aims to develop a more user-centered MI-BCI training protocol by implementing principles from human-computer interaction and game design. Through a systematic review, we examine how gamification of user training can improve user experience and BCI performance. Here, gamification refers to the use of game elements such as interactive objects, goals, and rewards, which can make BCI training more engaging, motivating, and effective. A potential platform for such a BCI training game is virtual reality (VR). Not only does VR offer richer, immersive feedback during BCI training, it can also embody the user into a virtual character, giving them more agency over virtual movements performed with the BCI. We discuss how virtual environments have been used in MI-BCI training in combination with gamification, and introduce empirical studies that can further incorporate and test a gamified VR MI-BCI training protocol. An overview of effective design principles for MI-BCI training can provide future BCI researchers and developers with a framework for creating more engaging and effective protocols that reduce the BCI inefficiency problem and accelerate the technology’s mainstream adoption

Explanatory Value and Probabilistic Reasoning

The question of how judgments of explanatory value (should) inform probabilistic inference is well studied within psychology and philosophy. Less studied are the questions: How does probabilistic information affect judgments of explanatory value? Does probabilistic information take precedence over causal information in determining explanatory judgments? To answer these questions, we conducted two experimental studies. In Study 1, we found that probabilistic information had a negligible impact on explanatory judgments of event-types with a potentially unlimited number of available, alternative explanations; causal credibility was the main determinant of explanatory value. In Study 2, we found that, for event-token explanations with a definite set of candidate alternatives, probabilistic information strongly affected judgments of explanatory value. In the light of these findings, we reassess under which circumstances explanatory inference is probabilistically sound

Can virtual reality act as an affective machine? The wild animal embodiment experience and the importance of appearance

In view of the growing urgency to protect wildlife, the general goal of our research is to develop an immersive virtual experience where users can step into the ‘shoes’ of wild animals. The specific objective of this research is to explore the possibility of creating a strong emotional connection experience with a virtual animal body. In a game setting, users explore a simulated natural habitat of the animal. At the end of the game, users experience a distress event during which they become the target of an illegal animal hunter. The users receive physical feedback through haptic virtual reality suits (vibrating motors) that mimic the sensation of feeling pain of a hunter's shot. We compare the perceived pain, empathy, immersion, and embodiment experience evoked through a game character with a natural body (beaver), with an artificial body (robot beaver), and an amorphous body. The results of this investigation show a significant effect of game character appearance and perceived pain during the distress event. Moreover, we find a significant effect of game character appearance on immersion. These results suggest that the design of the game character appearance can influence users’ emotional connectedness to the character and the game experience

Explanatory Value and Probabilistic Reasoning

The question of how judgments of explanatory value (should) inform probabilistic inference is well studied within psychology and philosophy. Less studied are the questions: How does probabilistic information affect judgments of explanatory value? Does probabilistic information take precedence over causal information in determining explanatory judgments? To answer these questions, we conducted two experimental studies. In Study 1, we found that probabilistic information had a negligible impact on explanatory judgments of event-types with a potentially unlimited number of available, alternative explanations; causal credibility was the main determinant of explanatory value. In Study 2, we found that, for event-token explanations with a definite set of candidate alternatives, probabilistic information strongly affected judgments of explanatory value. In the light of these findings, we reassess under which circumstances explanatory inference is probabilistically sound

Genetic Variation in FADS Genes and Plasma Cholesterol Levels in 2-Year-Old Infants

Single nucleotide polymorphisms (SNPs) in genes involved in fatty acid metabolism (FADS1 FADS2 gene cluster) are associated with plasma lipid levels. We aimed to investigate whether these associations are already present early in life and compare the relative contribution of FADS SNPs vs traditional (non-genetic) factors as determinants of plasma lipid levels. Information on infants' plasma total cholesterol levels, genotypes of five FADS SNPs (rs174545, rs174546, rs174556, rs174561, and rs3834458), anthropometric data, maternal characteristics, and breastfeeding history was available for 521 2-year-old children from the KOALA Birth Cohort Study. For 295 of these 521 children, plasma HDLc and non-HDLc levels were also known. Multivariable linear regression analysis was used to study the associations of genetic and non-genetic determinants with cholesterol levels. All FADS SNPs were significantly associated with total cholesterol levels. Heterozygous and homozygous for the minor allele children had about 4% and 8% lower total cholesterol levels than major allele homozygotes. In addition, homozygous for the minor allele children had about 7% lower HDLc levels. This difference reached significance for the SNPs rs174546 and rs3834458. The associations went in the same direction for non-HDLc, but statistical significance was not reached. The percentage of total variance of total cholesterol levels explained by FADS SNPs was relatively low (lower than 3%) but of the same order as that explained by gender and the non-genetic determinants together. FADS SNPs are associated with plasma total cholesterol and HDLc levels in preschool children. This brings a new piece of evidence to explain how blood lipid levels may track from childhood to adulthood. Moreover, the finding that these SNPs explain a similar amount of variance in total cholesterol levels as the non-genetic determinants studied reveals the potential importance of investigating the effects of genetic variations in early life

Assigning Defined Daily Doses Animal: a European multi-country experience

In order to be able to compare antimicrobial usage data between countries with a uniform quantification method a Defined Daily Dose Animal (DDDA) per active substance was defined. Information of 731 antimicrobial products licensed for use in porcine medicine in four EU countries was used to establish mean DDDAs for 83 unique active substances (AS) including combinations of different AS. Common DDDAs were defined in spite of large variations in the authorized dosages for the same active substances and administration routes. These DDDAs will be used to quantify and compare antimicrobial usage in pig production in four EU countries

Induction of autoantibodies against lung matrix proteins and smoke-induced inflammation in mice

<p>Abstract</p> <p>Background</p> <p>Smoking is the major etiologic factor in COPD, yet the exact underlying pathogenetic mechanisms have not been elucidated. Since a few years, there is mounting evidence that a specific immune response, partly present as an autoimmune response, contributes to the pathogenesis of COPD. Increased levels of anti-Hep-2 epithelial cell and anti-elastin autoantibodies as well as antibodies against airway epithelial and endothelial cells have been observed in COPD patients. Whether the presence of these autoantibodies contributes to the pathogenesis of COPD is unclear.</p> <p>Methods</p> <p>To test whether induction of autoantibodies against lung matrix proteins can augment the smoke-induced inflammatory response, we immunized mice with a mixture of the lung extracellular matrix (ECM) proteins elastin, collagen, and decorin and exposed them to cigarette smoke for 3 or 6 months. To evaluate whether the immunization was successful, the presence of specific antibodies was assessed in serum, and presence of specific antibody producing cells in spleen and lung homogenates. In addition, the presence of inflammatory cells and cytokines was assessed in lung tissue and emphysema development was evaluated by measuring the mean linear intercept.</p> <p>Results</p> <p>We demonstrated that both ECM immunization and smoke exposure induced a humoral immune response against ECM proteins and that ECM immunization itself resulted in increased macrophage numbers in the lung. The specific immune response against ECM proteins did not augment the smoke-induced inflammatory response in our model.</p> <p>Conclusions</p> <p>By demonstrating that smoke exposure itself can result in a specific immune response and that presence of this specific immune response is accompanied by an influx of macrophages, we provide support for the involvement of a specific immune response in the smoke-induced inflammatory response as can be seen in patients with COPD.</p

Effectiveness of alternative measures to reduce antimicrobial usage in pig production in four European countries

Background The reduction of antimicrobial usage (AMU) is in the focus in modern pig production. The objective of this study was to assess the effectiveness of alternatives to reduce AMU at herd level. In a prospective study, 68 farrow-to-finish pig herds located in Belgium, France, Germany and Sweden were recruited on a voluntary basis to implement tailor-made intervention plans to reduce their AMU. Alternative measures included improvement of biosecurity (n = 29 herds), vaccination (n = 30), changes of feeding schemes or drinking water quality (n = 45), improved pig health and welfare care (n = 21) as well as changes in stable climate and zootechnical measures (n = 14). Herds were followed for 1 year after implementation of measures. Annual antimicrobial expenditures or treatment records, as well as disease incidence scores were collected and compared to those of the year before intervention. AMU was measured as the treatment incidence and calculated by age category, antimicrobial class and administration route. Results Compliance with the intervention plans was high (median 93%). AMU was significantly reduced following the implementation of alternative measures: in the median herd of the four countries, pigs were treated before intervention 25% of their expected lifespan (200 days from birth to slaughter) and after intervention 16%. AMU of suckling and weaned pigs were significantly reduced by 37 and 54%, respectively. The usage of polymyxins and tetracyclines was significantly reduced by 69 and 49%, respectively. AMU via feed and water, as well as parenteral AMU were significantly reduced by 46 and 36%, respectively. Herds with a higher AMU level before intervention achieved a bigger reduction. The majority of disease incidence were similar before and after intervention, with a few exceptions of disorders related to the gastro-intestinal tract in suckling pigs (decreased) and in breeding pigs (increased). Conclusion Following tailor-made implementation of alternative measures, a substantial reduction of AMU in pig production was achievable without jeopardizing animal health. The AMU reduction in the youngest age categories (suckling and weaned pigs) and the reduction of group treatments via feed and water was in line with the recent European Guidelines on the prudent use of antimicrobials in veterinary medicine