Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...) potatoes, which can be classified into a number of categories based on the cooked texture and ingredient functionality. Using a public dataset of 2400 images of potatoes, we trained a deep convolutional neural network to identify 4 types (Red, Red Washed, Sweet, and White).The trained model achieved an accuracy of 99.5% of test set, demonstrating the feasibility of this approach. (shrink)

Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method for that. One of these methods is using artificial intelligence systems and in particular is the use of Artificial Neural Networks (ANN). So in this paper, we used artificial neural networks (...) to predict whether a person is diabetic or not. The criterion was to minimize the error function in neural network training using a neural network model. After training the ANN model, the average error function of the neural network was equal to 0.01 and the accuracy of the prediction of whether a person is diabetics or not was 87.3%. (shrink)

As a type of evidence glass can be very useful contact trace material in a wide range of offences including burglaries and robberies, hit-and-run accidents, murders, assaults, ram-raids, criminal damage and thefts of and from motor vehicles. All of that offer the potential for glass fragments to be transferred from anything made of glass which breaks, to whoever or whatever was responsible. Variation in manufacture of glass allows considerable discrimination even with tiny fragments. In this study, we worked glass classification (...) and testing of artificial neural network model created by the JustNN. The aim of the study is help investigator in identifying the type of glass found in arena of the crime. The Neural Network model was trained and validated using the type of glass dataset. The accuracy of model in predicting the type of glass reached 96.7%. Thus neural network is suitable for predicating type of glasses. (shrink)

In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor was developed and tested. Taking patients’ tests, a number of information gained that influence the classification of the tumor. Such information as age, sex, histologic-type, degree-of-diffe, status of bone, bone-marrow, lung, pleura, peritoneum, liver, brain, skin, neck, supraclavicular, axillar, mediastinum, and abdominal. They were used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was established and trained (...) class='Hi'>using data set which its title is “primary tumor” and was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia Test data evaluation shows that the ANN model is able to correctly predict the tumor category with 76.67 % accuracy. (shrink)

I consider how complex logical operations might self-assemble in a signalling-game context via composition of simpler underlying dispositions. On the one hand, agents may take advantage of pre-evolved dispositions; on the other hand, they may co-evolve dispositions as they simultaneously learn to combine them to display more complex behaviour. In either case, the evolution of complex logical operations can be more efficient than evolving such capacities from scratch. Showing how complex phenomena like these might evolve provides an additional path to (...) the possibility of evolving more or less rich notions of compositionality. This helps provide another facet of the evolutionary story of how sufficiently rich, human-level cognitive or linguistic capacities may arise from simpler precursors. 1Signalling and Self-assembly2Simple Unary Logic Games3Composing Unary Functions for Binary Inputs 3.1Utilizing pre-evolved dispositions3.2Co-evolving logical dispositions3.3Learning appropriate outputs3.4Taking account of the full state-space of unary games3.5Role-free composition4Discussion 4.1Efficacy and efficiency of learning complex dispositions4.2Other binary operations4.3To infinity and beyond5Conclusion. (shrink)

The Borel–Kolmogorov Paradox is typically taken to highlight a tension between our intuition that certain conditional probabilities with respect to probability zero conditioning events are well defined and the mathematical definition of conditional probability by Bayes’ formula, which loses its meaning when the conditioning event has probability zero. We argue in this paper that the theory of conditional expectations is the proper mathematical device to conditionalize and that this theory allows conditionalization with respect to probability zero events. The conditional probabilities (...) on probability zero events in the Borel–Kolmogorov Paradox also can be calculated using conditional expectations. The alleged clash arising from the fact that one obtains different values for the conditional probabilities on probability zero events depending on what conditional expectation one uses to calculate them is resolved by showing that the different conditional probabilities obtained using different conditional expectations cannot be interpreted as calculating in different parametrizations of the conditional probabilities of the same event with respect to the same conditioning conditions. We conclude that there is no clash between the correct intuition about what the conditional probabilities with respect to probability zero events are and the technically proper concept of conditionalization via conditional expectations—the Borel–Kolmogorov Paradox is just a pseudo-paradox. (shrink)

Throughout this research, imposing the training of an Artificial Neural Network (ANN) to play tic-tac-toe bored game, by training the ANN to play the tic-tac-toe logic using the set of mathematical combination of the sequences that could be played by the system and using both the Gradient Descent Algorithm explicitly and the Elimination theory rules implicitly. And so on the system should be able to produce imunate amalgamations to solve every state within the game course to make better (...) of results of winnings or getting draw. (shrink)

The article is devoted to the analysis of the influence of the ancient Chinese philosophy of Taiji on artistic creativity and the development of the internal evolution of artistic culture. Taoist philosophy of nature and Confucian ethics synthesized the philosophical core of the traditional Chinese worldview with its emphasis on the simplicity and naturalness of the world order, and formed the fundamental principles of Taiji. Fundamental to Taiji, the concept of Yin and Yang emphasizes the dual nature of the existence (...) of movement and variability as a balance of opposing forces of development. The Taiji philosophy of dialectical development is supplemented by the idea of ​​the genesis of renewal energy - Qi. The main research method is the method of revitalizing traditional systems on a new intellectual basis. The method of diachronic analysis of the social situation that influenced the development of Chinese neorealism in art was used. As a result of the study, the functional significance of the influence of the principles and philosophical ideas of taiji on the evolution of neorealism is described. Using the example of the work of Chinese neorealist artists Xin Dongwan and Zheng Yi, the authors come to the conclusion that there are three driving factors of artistic motivation for creativity: internal, external and subjective. The basic principles of Taiji philosophy and ethics, such as: the naturalness of change without the use of force (Wu Wei), change as the only constant in the existence of the world and its stability, gentleness - help develop the creative power of renewal. The idea is shown that in the ancient Chinese philosophical heritage, Confucianism and Taoism became two full-fledged directions, functionally complementing each other in explaining differences in cultural, political, philosophical and social environments. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Literary Method of Urban Design: Design Fictions Using FictionAlan Marshall (bio)For students of design the world over, there’s usually nowhere near enough time in the school year to build a prototype of each and every single innovative idea that pops into one’s head—let alone to test them all in the social world or the marketplace. To speedily explore as many innovations as possible, students are sometimes encouraged (...) to follow an alternative pathway, to create “design fiction.” Intended to exist only on paper or the screen, a “design fiction” is not really destined for the real world.1 As a learning technique, it allows for a significant degree of technical experimentation as well as the imagining of new social arrangements. Many design experts see this “free-for-all” method as rather annoying and untrustworthy—more art than science. Yet for the most creative students, it serves to liberate them from the various constraints of their discipline. My own peculiar process of “design fiction” is what I call the “Literary Method of Urban Design.” I will come to this method in a moment.Last year, I was invited by the Bauhaus Museum in Weimar, Germany, to contribute artworks for a special exhibition entitled “Ways to Utopia: Life Between Desire and Crisis” (running from April 1, 2023—January 29, 2024).2 [End Page 560] This exhibition is a celebration of the one-hundredth anniversary of the Bauhaus’s first architectural product: a modern suburban family home in the city of Weimar called the Haus Am Horn. Built in 1923 the Haus Am Horn ushered in the Bauhaus style, a streamlined functional elegance presented in clean, bright, hopeful hues.3 Beyond just style, though, the house was proffered up in utopian terms. Its Bauhaus creators suggested that such a home could be mass-produced on an industrial scale cheaply and efficiently to provide elegant living to every single family in Europe, be they rich or poor. In its first iteration, the Staatliches Bauhaus was a high-spirited, playful, future-oriented, and socially aware fine arts and architecture school that ran from 1919 to 1933 in Weimar, then Dessau, then Berlin. However, its liberalism and experimentation away from traditional teaching and practice invited scorn from conservatives and from the Nazi Party. The former took the Bauhaus school’s funding away; the latter shuttered it for good. Despite the closure of the building, the Bauhaus style transformed design across the world as former teachers and ex-students applied Bauhaus principles and approaches in new settings. The old Bauhaus school has since been resurrected, with the opening of Bauhaus Universität Weimar, and the Bauhaus Museum, with locations in Weimar and Dessau.A few years back, Skyhorse Publishers published a book of my own “design fictions” depicting real-world cities set far in the future, each presented in utopian terms.4 Because of this, the Bauhaus approached me to help them celebrate their centennial anniversary by displaying my utopian urban designs in their museum. However, to convey the centenary theme of the exhibition, they requested exactly 100 different artworks of 100 different urban utopias portraying 100 different real-world cities set 100 years in the future. At the time, I had only produced eighty such works over the preceding decade. However, since the exhibition was to include masterworks by Bauhaus design greats like George Muche and Alma Buscher, I did not want to fall short. To make the “century” in quick time, I pushed ahead by deploying my own peculiar “Literary Method of Urban Design.”5 This method comprises three steps:1. Select a city.2. Select a literary work.3. Design the future of the selected city, based upon the themes of the selected literary work.[End Page 561] Click for larger view View full resolutionFigure 1.Future London. By the author, inspired by More’s Utopia (1516).When I used this method for the first time with Thomas More’s Utopia (1516) as the literary base, a curator at the Museum of London was tickled enough to include it in an exhibition about the future of London.6Since then, the utopian spark has flowed through many of... (shrink)

Bioethical research has tended to focus on theoretical discussion of the principles on which the analysis of ethical issues in biomedicine should be based. But this discussion often seems remote from biomedical practice where researchers and physicians confront ethical problems. On the other hand, published empirical research on the ethical reasoning of health care professionals offer only descriptions of how physicians and nurses actually reason ethically. The question remains whether these descriptions have any normative implications for nurses and physicians? In (...) this article, we illustrate an approach that integrates empirical research into the formulation of normative ethical principles using the moral-philosophical method of Wide Reflective Equilibrium (WRE). The research method discussed in this article was developed in connection with the project ‘Bioethics in Theory and Practice’. The purpose of this project is to investigate ethical reasoning in biomedical practice in Denmark empirically. In this article, we take the research method as our point of departure, but we exclusively discuss the theoretical framework of the method, not its empirical results. We argue that the descriptive phenomenological hermeneutical method developed by Lindseth and Norberg (2004) and Pedersen (1999) can be combined with the theory of WRE to arrive at a decision procedure and thus a foundation for the formulation of normative ethical principles. This could provide health care professionals and biomedical researchers with normative principles about how to analyse, reason and act in ethically difficult situations in their practice. We also show how to use existing bioethical principles as inspiration for interpreting the empirical findings of qualitative studies. This may help researchers design their own empirical studies in the field of ethics. (shrink)

Intentionalism is the view that demonstratives, gradable adjectives, quantifiers, modals and other context‐sensitive expressions are intention‐sensitive: their semantic value on a given use is fixed by speaker intentions. The first aim of this paper is to defend Intentionalism against three recent objections, according to which speakers at least sometimes do not have suitable intentions when using supposedly intention‐sensitive expressions. Its second aim is to thereby shed light on the so far little‐explored question of which kinds of intentions can be (...) semantically relevant. (shrink)

This article proposes a theological emphasis to the definition of προσλαμβάνω in Romans 14–15. Previous accounts have emphasised the domestic and social implication of Paul's imperative—‘welcome one another’ (Rom. 15:7a). The result has been that what Paul might have meant by God's and Christ's ‘welcome’ (Rom. 14:3 and 15:7b) has been governed by the ethical imperative. In order to investigate the ‘welcome’ of God and Christ, this article proposes a context of three important Septuagintal antecedents as yet unconsidered: 1 Samuel (...) 12, Psalm 18, and Psalm 65: In this context, God's and Christ's ‘welcome’ in Rom. 14–15 incorporates notions of justification, election, salvation, and unified worship. A theological reading of προσλαμβάνω, using these intertextual resources, therefore provides a stronger position from which to understand Paul's imperative—‘welcome one another’. (shrink)

Proponents of evidence-based medicine and some philosophers of science seem to agree that knowledge of mechanisms can help solve the problem of applying results of controlled studies to target populations (‘the problem of extrapolation’). We describe the problem of extrapolation, characterize mechanisms, and outline how mechanistic knowledge might be used to solve the problem. Our main thesis is that there are four often overlooked problems with using mechanistic knowledge to solve the problem of extrapolation. First, our understanding of mechanisms (...) is often (and arguably, likely to remain) incomplete. Secondly, knowledge of mechanisms is not always applicable outside the tightly controlled laboratory conditions in which it is gained. Thirdly, mechanisms can behave paradoxically. Fourthly, as Daniel Steel points out, using mechanistic knowledge faces the problem of the ‘extrapolator’s circle’. At the same time, when the problems with mechanistic knowledge have been addressed, such knowledge can and should be used to mitigate (nothing can entirely solve) the problem of extrapolation. (shrink)

Ernst Mayr’s classical work on the nature of causation in biology has had a huge influence on biologists as well as philosophers. Although his distinction between proximate and ultimate causation recently came under criticism from those who emphasize the role of development in evolutionary processes, the formal relationship between these two notions remains elusive. Using causal graph theory, this paper offers a unified framework to systematically translate a given “proximate” causal structure into an “ultimate” evolutionary response, and illustrates evolutionary (...) implications of various kinds of causal mechanisms including epigenetic inheritance, maternal effects, and niche construction. These results not only reveal the essential interplay between proximate and ultimate causation in the study of evolution, but also provide a formal method to evaluate or discover non-standard or yet unknown evolutionary phenomena. (shrink)

Robots are increasingly envisaged as our future cohabitants. However, while considerable progress has been made in recent years in terms of their technological realization, the ability of robots to inter-act with humans in an intuitive and social way is still quite limited. An important challenge for social robotics is to determine how to design robots that can perceive the user’s needs, feelings, and intentions, and adapt to users over a broad range of cognitive abilities. It is conceivable that if robots (...) were able to adequately demonstrate this, humans would eventually accept them as social companions. We argue that the best way to achieve this is using a systematic experimental approach based on behavioral and physiological neuroscience methods such as motion/eye tracking, electroencephalography (EEG), or functional near-infrared spectroscopy (fNIRS) embedded in interactive human-robot paradigms. This approach requires understanding how humans interact with each other, how they perform tasks together and how they develop feelings of social connection over time, and using these insights to formulate design principles that make social robots attuned to the workings of the human brain. In this review, we put forward the argument that the likelihood of artificial agents being perceived as social companions can be increased by designing them in a way that they are perceived as intentional agents that activate areas in the human brain involved in social-cognitive processing. We first review literature related to social-cognitive mechanisms involved in human-human interactions, and high-light the importance of perceiving others as intentional agents to activate these brain areas. We then discuss how attribution of intentionality can positively affect human-robot interaction by (a) fostering feelings of social connection, empathy and prosociality, and by (b) enhancing performance on joint human-robot tasks. Lastly, we describe circumstances under which attribution of intentionality to robot agents might be disadvantageous, and discuss challenges associated with designing social robots that are inspired by neuroscientific principles. (shrink)

Accounting firms are reporting the use of Artificial Intelligence in their auditing and advisory functions, citing benefits such as time savings, faster data analysis, increased levels of accuracy, more in-depth insight into business processes, and enhanced client service. AI, an emerging technology that aims to mimic the cognitive skills and judgment of humans, promises competitive advantages to the adopter. As a result, all the Big 4 firms are reporting its use and their plans to continue with this innovation in areas (...) such as audit planning risk assessments, tests of transactions, analytics, and the preparation of audit work-papers, among other uses. As the uses and benefits of AI continue to emerge within the auditing profession, there is a gradual awakening to the fact that unintended consequences may also arise. Thus, we heed to the call of numerous researchers to not only explore the benefits of AI but also investigate the ethical implications of the use of this emerging technology. By combining two futuristic ethical frameworks, we forecast the ethical implications of the use of AI in auditing, given its inherent features, nature, and intended functions. We provide a conceptual analysis of the practical ethical and social issues surrounding AI, using past studies as well as our inferences based on the reported use of the technology by auditing firms. Beyond the exploration of these issues, we also discuss the responsibility for the policy and governance of emerging technology. (shrink)

The VIA Classification of Character Strengths and Virtue has received substantial attention since its inception as a model of 24 dimensions of positive human functioning, but less so as a potential contributor to a psychological science on the nature of virtue. The current paper presents an overview of how this classification could serve to advance the science of virtue. Specifically, we summarize previous research on the dimensional versus categorical characterization of virtue, and on the identification of cardinal virtues. We give (...) particular attention to the three-dimensional model of cardinal virtues that includes moral, self-regulatory, and intellectual domains. We also discuss the possibility that these three clusters be treated as fundamental elements of a virtue model, meaning that they clearly and directly contribute to both individual and communal flourishing across various cultures. This discussion includes a summary of previous speculations about the evolution of adaptations underlying the human capacity for using behavioral repertoires associated with the three virtues, as well as discussing ways in which they simultaneously enhance community and individual, in the last case focusing particularly on evidence concerning mating potential. We then discuss the relationship between the evolutionary perspective on virtues and Aristotle’s concept of the reciprocity of the virtues. Finally, we provide speculations about the nature of practical wisdom. While accepting the potential value of future revisions to the VIA model, that model even under its current conditions has the potential to generate a number of intriguing and testable hypotheses about the nature of virtue. (shrink)

Online research offers advantages including recruitment cost, diminished equity-related participation barriers, and convenience; however, there are growing concerns regarding fraudulent participation. Guidance to navigate these challenges exists for online research generally (e.g. surveys), but remains sparse for the specific challenge of fraudulent participation within virtual synchronous interviews. No work has explored this topic within an explicit, detailed ethical framework. Reflecting on our experiences navigating fraudulent participation in virtual synchronous research, we address this gap using the Canadian Code of Ethics (...) for Psychologists as a guiding framework to describe challenges, explore ethical considerations, and identify potential solutions and research directions. (shrink)

We attempt to justify the use of synthetic biology in response to the climate crisis, based on the premise that it is impossible to avert runaway climate change without sequestering sufficient greenhouse gases (GHG), which could only become possible through Negative Emissions Technologies (NETs). Then, moving from a consequentialist standpoint, we acquiesce to how the consequences of using NETs through synthetic biology are preferable to the catastrophic consequences of runaway climate change. In conclusion, we show how our analysis of (...) synthetic biology resonates with a zoecentric view of climate science and ethics. (shrink)

In this article, Charlotte Blease argues that patient access to online shared clinical notes (also called ‘open notes’) may cause or exacerbate nocebo effects in two ways. 1 First, open notes may enhance patient understanding about the adverse effects of medications and treatments. However, reading information about adverse effects may lead patients to form negative expectations that, in turn, may cause or worsen symptoms via nocebo mechanisms. Second, open notes may paradoxically lower the quality of the therapeutic relationship by allowing (...) patients to detect signs of discrimination and stigma in clinical notes. By accessing their shared notes, patients may identify (or think that they are identifying) signs of stigmatisation and discrimination in clinicians’ words. This may diminish their trust while increasing their anxieties and fears, all factors that have been associated with enhanced nocebo effects. The article then suggests different strategies to mitigate nocebo effects while using open... (shrink)

We address how the leaders of a Catholic business school can articulate and assess how well their schools implement the following six principles drawn from Catholic social teaching : produce goods and services that are authentically good; foster solidarity with the poor by serving deprived and marginalized populations; advance the dignity of human work as a calling; exercise subsidiarity; promote responsible stewardship over resources; and acquire and allocate resources justly. We first discuss how the CST principles give substantive content and (...) meaning to the Good Goods, Good Work, and Good Wealth framework in The Vocation of the Business Leader and then discuss their congruencies and tensions with the UNGC and UNPRME principles. Next, we describe the Catholic Identity Matrix, an assessment tool that provides a quantitative and qualitative portrait of how well a Catholic business school integrates, within the scope of its mission and capacities, the three goods and related CST principles in its strategies, policies, activities, and processes. The concluding section discusses implications for ongoing UNGC and UNPRME assessment, reporting, and development efforts, and addresses the generalizability of our approach to business schools who draw their inspiration and moral principles from other faith-based or secular traditions. (shrink)

Background:To better understand the kinds of ethical challenges that emerge when using coercion in mental healthcare, and the importance of these ethical challenges, this article presents a systematic review of scientific literature.Methods:A systematic search in the databases MEDLINE, PsychInfo, Cinahl, Sociologicals and Web of Knowledge was carried out. The search terms derived from the population, intervention, comparison/setting and outcome. A total of 22 studies were included.Ethical considerations:The review is conducted according to the Vancouver Protocol.Results:There are few studies that study (...) ethical challenges when using coercion in an explicit way. However, promoting the patient’s best interest is the most important justification for coercion. Patient autonomy is a fundamental challenge facing any use of coercion, and some kind of autonomy infringement is a key aspect of the concept of coercion. The concepts of coercion and autonomy and the relations between them are very complex. When coercion is used, a primary ethical challenge is to assess the balance between promoting good and inflicting harm. In the included studies, findings explicitly related to justice are few. Some studies focus on moral distress experienced by the healthcare professionals using coercion.Conclusion:There is a lack of literature explicitly addressing ethical challenges related to the use of coercion in mental healthcare. It is essential for healthcare personnel to develop a strong awareness of which ethical challenges they face in connection with the use of coercion, as well as challenges related to justice. How to address ethical challenges in ways that prevent illegitimate paternalism and strengthen beneficent treatment and care and trust in connection with the use of coercion is a ‘clinical must’. By developing a more refined and rich language describing ethical challenges, clinicians may be better equipped to prevent coercion and the accompanying moral distress. (shrink)

This article investigates the potential of fMRI to test assumptions about different components in models of complex cognitive tasks. If the components of a model can be associated with specific brain regions, one can make predictions for the temporal course of the BOLD response in these regions. An event‐locked procedure is described for dealing with temporal variability and bringing model runs and individual data trials into alignment. Statistical methods for testing the model are described that deal with the scan‐to‐scan correlations (...) in the errors of measurement of the BOLD signal. This approach is illustrated using a “sacrificial” ACT‐R model that involves mapping 6 modules onto 6 brain regions in an experiment from Ravizza, Anderson, and Carter (in press) concerned with equation solving. The model's visual encoding predicted the BOLD response in the fusiform gyrus, its controlled retrieval predicted the BOLD response in the lateral inferior prefrontal cortex, and its subgoal setting predicted the BOLD response in the anterior cingulate cortex. On the other hand, its motor programming failed to predict anticipatory activation in the motor cortex, its representational changes failed to predicted the pattern of activity in the posterior parietal cortex, and its procedural component failed to predict an initial spike in caudate. The results illustrate the power of such data to direct the development of a theory of complex problem solving, both at the level of a specific task model as well as at the level of the cognitive architecture. (shrink)

One of the core problems with engineering ethics education is perceptual. Although ethics is meant to be a central component of today’s engineering curriculum, it is often perceived as a marginal requirement that must be fulfilled. In addition, there is a mismatch between faculty and student perceptions of ethics. While faculty aim to communicate the nuances and complexity of engineering ethics, students perceive ethics as laws, rules, and codes that must be memorized. This paper provides some historical context to better (...) understand these perceptual differences, and suggests that curriculum constraints are important contributing factors. Drawing on the growing scholarship of student engagement approaches to pedagogy, the paper explores how students can be empowered to effect change in the broader engineering curriculum through engineering ethics. The paper describes a student engagement approach to pedagogy that includes students as active participants in curriculum design—a role that enables them to critically reflect about why ethics is a requirement. Including students in the process of curriculum design leads students to reframe ethics as an integrative tool with the capacity to bring together different engineering departments and build bridges to non-engineering fields. This paper argues that students can and should play an active and important role in relocating ethics from the periphery to the core of the engineering curriculum. (shrink)

The book provides a practical guide to the application of Critical Realism (CR), an increasingly popular philosophy of social science, in empirical research projects. Each purpose-written chapter reviews major social science research methods and contains extended illustration of how to conduct inquiry using CR.

Philosophers of science have paid close attention to climate simulations as means of projecting the severity and effects of climate change, but have neglected the full diversity of methods in climate science. This paper shows the philosophical richness of another method in climate science: the practice of using paleoclimate analogues to inform our climate projections. First, I argue that the use of paleoclimate analogues can offer important insights to philosophers of the historical sciences. Rather than using the present (...) as a guide to the past, as is common in the historical sciences, paleoclimate analogues involve using the past as a guide to the future. I thereby distinguish different methods in the historical sciences and argue that these distinctions bear on debates over whether the historical sciences can produce generalizations or predictions. Second, I suggest that paleoclimate analogues might actually be considered a type of climate model, and, as such, their use expands on common characterizations of models to include those that are full-scale, naturally occurring, and non-manipulable. (shrink)

Many of the problems studied in cognitive science are inductive problems, requiring people to evaluate hypotheses in the light of data. The key to solving these problems successfully is having the right inductive biases—assumptions about the world that make it possible to choose between hypotheses that are equally consistent with the observed data. This article explores a novel experimental method for identifying the biases that guide human inductive inferences. The idea behind this method is simple: This article uses the responses (...) produced by a participant on one trial to generate the stimuli that either they or another participant will see on the next. A formal analysis of this “iterated learning” procedure, based on the assumption that the learners are Bayesian agents, predicts that it should reveal the inductive biases of these learners, as expressed in a prior probability distribution over hypotheses. This article presents a series of experiments using stimuli based on a well-studied set of category structures, demonstrating that iterated learning can be used to reveal the inductive biases of human learners. (shrink)

Cognitive-linguistic theories commonly model speakers’ grammatical knowledge as a network of constructions related by a variety of associative links. The present study proposes that structural priming can provide psycholinguistic evidence of such links, and crucially, that the method can be extended to non-alternating constructions. In a comprehension priming experiment using the “maze” variant of self-paced reading, English caused-motion sentences were found to have an inhibitory effect by slowing down participants’ subsequent processing of resultatives, and vice versa, providing evidence that (...) speakers store distinct but related representations for the constructions. Priming effects of a similar magnitude emerged in both directions, suggesting that the constructions are bidirectionally related, while not supporting previous claims about a metaphorical asymmetry between the patterns. Moreover, priming was only marginally affected when prime and target contained the same rather than different verbs, demonstrating that cross-constructional priming in comprehension can be observed in the absence of a “lexical boost”. The results raise questions for follow-up research on the role of inhibition in the grammatical network and the extension of structural priming to other types of constructional links. (shrink)

Many theories of complex cognitive-motor skill learning are built on the notion that basic cognitive processes group actions into easy-to-perform sequences. The present work examines predictions derived from laboratory-based studies of motor chunking and motor preparation using data collected from the real-time strategy video game StarCraft 2. We examined 996,163 action sequences in the telemetry data of 3,317 players across seven levels of skill. As predicted, the latency to the first action is delayed relative to the other actions in (...) the group. Other predictions, inspired by the memory drum theory of Henry and Rogers, received only weak support. (shrink)