This essay examines a New York Times special transnational/racial adoption blog series, ‘Relative Choices’, to interrogate how statements of love in adoption discourse engender symbolic violence in order to narrowly define ‘real’ family. The blogs are an important site of inquiry because of the ways in which new technology enables individuals with access to the Internet the ability to contribute to knowledge production. These transnational/racial adoption blog entries generated more than 1000 comments by adoptees, adoptive parents, and interested readers. The (...) statements that emerged from the blogs and comments included denying adoptees' history, claiming the title of ‘real’ parent, and articulating statements of love. This essay complicates new media adoption discourse to show how symbolic discursive violence is hidden and embedded in adoptive family-making. (shrink)

Why does performing certain tasks cause the aversive experience of mental effort and concomitant deterioration in task performance? One explanation posits a physical resource that is depleted over time. We propose an alternative explanation that centers on mental representations of the costs and benefits associated with task performance. Specifically, certain computational mechanisms, especially those associated with executive function, can be deployed for only a limited number of simultaneous tasks at any given moment. Consequently, the deployment of these computational mechanisms carries (...) an opportunity cost – that is, the next-best use to which these systems might be put. We argue that the phenomenology of effort can be understood as the felt output of these cost/benefit computations. In turn, the subjective experience of effort motivates reduced deployment of these computational mechanisms in the service of the present task. These opportunity cost representations, then, together with other cost/benefit calculations, determine effort expended and, everything else equal, result in performance reductions. In making our case for this position, we review alternative explanations for both the phenomenology of effort associated with these tasks and for performance reductions over time. Likewise, we review the broad range of relevant empirical results from across sub-disciplines, especially psychology and neuroscience. We hope that our proposal will help to build links among the diverse fields that have been addressing similar questions from different perspectives, and we emphasize ways in which alternative models might be empirically distinguished. (shrink)

Why does performing certain tasks cause the aversive experience of mental effort and concomitant deterioration in task performance? One explanation posits a physical resource that is depleted over time. We propose an alternative explanation that centers on mental representations of the costs and benefits associated with task performance. Specifically, certain computational mechanisms, especially those associated with executive function, can be deployed for only a limited number of simultaneous tasks at any given moment. Consequently, the deployment of these computational mechanisms carries (...) an opportunity cost – that is, the next-best use to which these systems might be put. We argue that the phenomenology of effort can be understood as the felt output of these cost/benefit computations. In turn, the subjective experience of effort motivates reduced deployment of these computational mechanisms in the service of the present task. These opportunity cost representations, then, together with other cost/benefit calculations, determine effort expended and, everything else equal, result in performance reductions. In making our case for this position, we review alternative explanations for both the phenomenology of effort associated with these tasks and for performance reductions over time. Likewise, we review the broad range of relevant empirical results from across sub-disciplines, especially psychology and neuroscience. We hope that our proposal will help to build links among the diverse fields that have been addressing similar questions from different perspectives, and we emphasize ways in which alternative models might be empirically distinguished. (shrink)

Fragment of an Intellectual Autobiography:- BY HANS J. MORGENTHAU h My first political memories go back to the Tripolitan War M of between Italy and Turkey ...

Many models of word recognition assume that processing proceeds sequentially from analysis of form to analysis of meaning. In the context of morphological processing, this implies that morphemes are processed as units of form prior to any influence of their meanings. Some interpret the apparent absence of differences in recognition latencies to targets (SNEAK) in form and semantically similar (sneaky-SNEAK) and in form similar and semantically dissimilar (sneaker-SNEAK) prime contexts at an SOA of 48 ms as consistent with this claim. (...) To determine the time course over which degree of semantic similarity between morphologically structured primes and their targets influences recognition in the forward masked priming variant of the lexical decision paradigm, we compared facilitation for the same targets after semantically similar and dissimilar primes across a range of SOAs. The effect of shared semantics on recognition latency increased linearly with SOA when long SOAs were intermixed (Exp. 1) and latencies were significantly faster after semantically similar than dissimilar primes at homogeneous SOAs of 48 ms (Exp. 2) and 34 ms (Exp. 3). Results limit the scope of form-then-semantics models of recognition and demonstrate that semantics influences even the very early stages of recognition. Finally, once general behavior across trials has been accounted for, we fail to provide evidence for individual differences in morphological processing that can be linked to measures of reading proficiency. (shrink)

Researchers have documented the dominance of intensive mothering ideologies and their impact on mothers and their families. However, the effect of these ideologies on childless women has received little attention. I draw on interview data to examine the parenting ideologies of childless women with electively frozen eggs. I demonstrate that incorporation of and commitment to intensive mothering ideologies affect fertility decision making among these childless women. I find that concerns about the heavy burdens of intensive motherhood, coupled with unsupportive partners (...) and workplaces, produce ambivalence toward childbearing and a strategy of fertility postponement. I extend the literatures on intensive mothering, reproductive decision making, assisted reproductive technologies, and elective egg freezing by identifying egg freezing as an expression of the gendering of fertility risk and as a means of “doing security.” Participants view egg freezing as a means of managing risk in two primary ways: as a means of securing access to biogenetic motherhood by managing biological risks of infertility and fetal genetic abnormality, and as a means of enabling intensive parenting by managing temporal risks inherent in coordinating careers, relationships, and childbearing. (shrink)

This paper investigates the relationship between ethics and income among individuals of different religions in the HKSAR of China. The presence of both traditional Chinese religion and Christianity from the West makes our study particularly interesting. The content of ethical beliefs varies with religion and thus the effect of ethics on income may also vary across religion. Furthermore, a reverse causal relationship may run from income to ethics. Since culture and taste affect the consumption behavior of a person, depending on (...) the religion of the person, a person with a higher income may or may not like to ‘acquire’ more ethics. Our empirical results find that there is indeed a simultaneous relationship between income and being ethical so that a single equation estimation of income on ethics and vice versa generates biased estimates. Using a two-stage instrumental variable estimation, our study finds that being ethical contributes to higher income for Christians and the non-religious group, but lowers it for people of traditional Chinese religion. On the other hand, an increase in income increases the likelihood of a person’s being ethical for both Christians and the people of traditional Chinese religion, but reduces it for the non-religious group. (shrink)

Successfully explaining and replicating the complexity and generality of human and animal learning will require the integration of a variety of learning mechanisms. Here, we introduce a computational model which integrates associative learning (AL) and reinforcement learning (RL). We contrast the integrated model with standalone AL and RL models in three simulation studies. First, a synthetic grid‐navigation task is employed to highlight performance advantages for the integrated model in an environment where the reward structure is both diverse and dynamic. The (...) second and third simulations contrast the performances of the three models in behavioral experiments, demonstrating advantages for the integrated model in accounting for behavioral data. (shrink)

This essay defends the view of G. C. Pande that, contrary to received opinion, "ānanda" (bliss, felicity) is accepted by Śaṅkara (ca. 788-820) as a feature of Brahman consistent with and parallel to sat (being) and cit (consciousness). It also includes a counterargument by B. N. K. Sharma, and in conclusion offers a reasoned judgment of the arguments of Śaṅkara and these two contemporary philosophers.

Education is so strongly emphasized in the Chinese culture that academic success is widely regarded as the only indicator of success, while too much physical activity is often discouraged because it drains energy and affects academic concentration. This study investigated the relations among academic achievement, self?esteem, school conduct and physical activity level. The participants were 333 Chinese pre?adolescents (aged 8?12) in Hong Kong. Examination results and conduct grades were obtained from the school records. Global self?esteem was measured with the Physical (...) self?description questionnaire (PSDQ), while physical activity patterns of the children were assessed with the Physical activity questionnaire for children (PAQ?C). Results showed that high academic achievers consistently attained better school conduct marks. However, physical activity level was quite an independent entity that was related neither to academic achievement nor school conduct. Furthermore, regression analyses showed that only academically high?achieving boys and physically active boys had higher self?esteem. (shrink)

Most computational theories of cognition lack a representation of physiology. Understanding the cognitive effects of compounds present in the environment is important for explaining and predicting changes in cognition and behavior given exposure to toxins, pharmaceuticals, or the deprivation of critical compounds like oxygen. This research integrates physiologically based pharmacokinetic (PBPK) model predictions of caffeine concentrations in blood and tissues with ACT-R's fatigue module to predict the effects of caffeine on fatigue. Mapping between the PBPK model parameters and ACT-R model (...) parameters is informed by the neurophysiological literature and established associations between ACT-R modules and brain regions. The results from three such parameter mappings are explored to explain observed data from sleep-deprived participants performing the psychomotor vigilance test with and without caffeine. Predicted caffeine concentrations in the brain are used to modulate procedural parameters in the fatigue module to explain caffeine's effects on multiple performance metrics. (shrink)

The 18th International Conference on Cognitive Modelling (ICCM 2020) brought together researchers whose goal is to develop computational simulations of the mind, and to use those simulations to test theories about how the mind works. In this special issue, we present four top papers from ICCM 2020. Two of these address the challenge of scaling up to more complex tasks, and the other two address the challenge of scaling down to connect these computational models to neuroscience.

Cognition in work teams has been predominantly understood and explained in terms of shared cognition with a focus on the similarity of static knowledge structures across individual team members. Inspired by the current zeitgeist in cognitive science, as well as by empirical data and pragmatic concerns, we offer an alternative theory of team cognition. Interactive Team Cognition (ITC) theory posits that (1) team cognition is an activity, not a property or a product; (2) team cognition should be measured and studied (...) at the team level; and (3) team cognition is inextricably tied to context. There are implications of ITC for theory building, modeling, measurement, and applications that make teams more effective performers. (shrink)

Visual working memory is a construct hypothesized to store a small amount of accurate perceptual information that can be brought to bear on a task. Much research concerns the construct's capacity and the precision of the information stored. Two prominent theories of VWM representation have emerged: slot-based and continuous-resource mechanisms. Prior modeling work suggests that a continuous resource that varies over trials with variable capacity and a potential to make localization errors best accounts for the empirical data. Questions remain regarding (...) the variability in VWM capacity and precision. Using a novel eye-tracking paradigm, we demonstrate that VWM facilitates search and exhibits effects of fixation frequency and recency, particularly for prior targets. Whereas slot-based memory models cannot account for the human data, a novel continuous-resource model does capture the behavioral and eye tracking data, and identifies the relevant resource as item activation. (shrink)

Institutional review boards are almost universally considered to be overworked and understaffed. They also require substantial commitments of time and resources from their members. Although some surveys report average IRB memberships of 15 people or more, federal regulations require only five. We present data on IRB meetings at eight of the top 25 academic medical centers in the United States funded by the National Institutes of Health. These data indicate substantial contributions from primary reviewers and chairs during protocol discussions but (...) little from other members, which implies that it may be possible for smaller IRBs to accomplish the same tasks with no reduction in the quality of review. (shrink)

The study of human cognition and the study of artificial intelligence (AI) have a symbiotic relationship, with advancements in one field often informing or creating new work in the other. Human cognition has many capabilities modern AI systems cannot compete with. One such capability is the detection, identification, and resolution of knowledge gaps (KGs). Using these capabilities as inspiration, we examine how to incorporate detection, identification, and resolution of KGs in artificial agents. We present a paradigm that enables research on (...) the understanding of KGs for visual-linguistic communication. We leverage and enhance and existing KG taxonomy to identify possible KGs that can occur for visual question answer (VQA) tasks and use these findings to develop a classifier to identify questions that could be engineered to contain specific KG types for other VQA datasets. Additionally, we examine the performance of different VQA models through the lens of KGs. (shrink)

In team-based tasks, successful communication and mutual understanding are essential to facilitate team coordination and performance. It is well-established that an important component of human conversation is the maintenance of common ground. Maintaining common ground has a number of associated processes in which conversational participants engage. Many of these processes are lacking in current synthetic teammates, and it is unknown to what extent this lack of capabilities affects their ability to contribute during team-based tasks. We focused our research on how (...) teams package information within a conversation, by which we mean specifically whether information is explicitly mentioned or implied, and how multiple pieces of information are ordered both within single communications and across multiple communications. We re-analyzed data collected from a simulated remotely-piloted aerial system task in which team members had to specify speed, altitude, and radius restrictions. The data came from three experiments: the “speech” experiment, the “text” experiment, and the “evaluation” experiment. We asked first whether teams settled on a specific routine for communicating the speed, altitude, and radius restrictions, and whether this process was different if the teams communicated in speech compared to text. We then asked how receiving special communication instructions in the evaluation experiment impacted the way the human teammates package information. We found that teams communicating in either speech or text tended to use a particular order for mentioning the speed, altitude, and radius. Different teams also chose different orders from one another. The teams in the evaluation experiment, however, showed unnaturally little variability in their information ordering and were also more likely to explicitly mention all restrictions even when they did not apply. Teams in the speech and text experiments were more likely to leave unnecessary restrictions unmentioned, and were also more likely to convey the restrictions across multiple communications. The option to converge on different packaging routines may have contributed to improved performance in the text experiment compared some of the conditions in the evaluation experiment. (shrink)

The study of human cognition and the study of artificial intelligence (AI) have a symbiotic relationship, with advancements in one field often informing or creating new work in the other. Human cognition has many capabilities modern AI systems cannot compete with. One such capability is the detection, identification, and resolution of knowledge gaps (KGs). Using these capabilities as inspiration, we examine how to incorporate detection, identification, and resolution of KGs in artificial agents. We present a paradigm that enables research on (...) the understanding of KGs for visual-linguistic communication. We leverage and enhance and existing KG taxonomy to identify possible KGs that can occur for visual question answer (VQA) tasks and use these findings to develop a classifier to identify questions that could be engineered to contain specific KG types for other VQA datasets. Additionally, we examine the performance of different VQA models through the lens of KGs. (shrink)

The fields of machine learning (ML) and cognitive science have developed complementary approaches to computationally modeling human behavior. ML's primary concern is maximizing prediction accuracy; cognitive science's primary concern is explaining the underlying mechanisms. Cross-talk between these disciplines is limited, likely because the tasks and goals usually differ. The domain of e-learning and knowledge acquisition constitutes a fruitful intersection for the two fields’ methodologies to be integrated because accurately tracking learning and forgetting over time and predicting future performance based on (...) learning histories are central to developing effective, personalized learning tools. Here, we show how a state-of-the-art ML model can be enhanced by incorporating insights from a cognitive model of human memory. This was done by exploiting the predictive performance equation's (PPE) narrow but highly specialized domain knowledge with regard to the temporal dynamics of learning and forgetting. Specifically, the PPE was used to engineer timing-related input features for a gradient-boosted decision trees (GBDT) model. The resulting PPE-enhanced GBDT outperformed the default GBDT, especially under conditions in which limited data were available for training. Results suggest that integrating cognitive and ML models could be particularly productive if the available data are too high-dimensional to be explained by a cognitive model but not sufficiently large to effectively train a modern ML algorithm. Here, the cognitive model's insights pertaining to only one aspect of the data were enough to jump-start the ML model's ability to make predictions—a finding that holds promise for future explorations. (shrink)

The fields of machine learning (ML) and cognitive science have developed complementary approaches to computationally modeling human behavior. ML's primary concern is maximizing prediction accuracy; cognitive science's primary concern is explaining the underlying mechanisms. Cross-talk between these disciplines is limited, likely because the tasks and goals usually differ. The domain of e-learning and knowledge acquisition constitutes a fruitful intersection for the two fields’ methodologies to be integrated because accurately tracking learning and forgetting over time and predicting future performance based on (...) learning histories are central to developing effective, personalized learning tools. Here, we show how a state-of-the-art ML model can be enhanced by incorporating insights from a cognitive model of human memory. This was done by exploiting the predictive performance equation's (PPE) narrow but highly specialized domain knowledge with regard to the temporal dynamics of learning and forgetting. Specifically, the PPE was used to engineer timing-related input features for a gradient-boosted decision trees (GBDT) model. The resulting PPE-enhanced GBDT outperformed the default GBDT, especially under conditions in which limited data were available for training. Results suggest that integrating cognitive and ML models could be particularly productive if the available data are too high-dimensional to be explained by a cognitive model but not sufficiently large to effectively train a modern ML algorithm. Here, the cognitive model's insights pertaining to only one aspect of the data were enough to jump-start the ML model's ability to make predictions—a finding that holds promise for future explorations. (shrink)

We use the Newell Test as a basis for evaluating ACT-R as an effective architecture for cognitive engineering. Of the 12 functional criteria discussed by Anderson & Lebiere (A&L), we discuss the strengths and weaknesses of ACT-R on the six that we postulate are the most relevant to cognitive engineering.

In this chapter, Kit Fine and Errol Martin provide a formal account of non-circular reasoning, i.e. of reasoning in which the conclusion of an argument is not somehow presupposed in its premises. Martin (along with R. Meyer) had previously shown that the implicational system P-W\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\textbf{P}\!\mathbf {-W}$$\end{document} does not contain any theorems of the form A→A\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$A \rightarrow A$$\end{document}. Fine and Martin then extend this (...) result to systems that also contain conjunction. (shrink)

Sept. 24, 1901 Chicago Ills. U.S.A.– 6026 Monroe Ave. Chicago University – William R. Harper, President Professor of Astronomy and Mathematics – School of Education Mr. H. Poincaré, Paris France My dear Sir: You have perhaps noticed in Professor André’s book entitled _“Traité d’astronomie stellaire”_ Vol II p. 303 that my discussions of β Lyrae and U Pegasi both seem to point to a concrete confirmation of your excellent work on rotating liquids. I am now curious to see if by (...) computing light curves based upon any of your other theoretical forms—perhaps the apiodal—I may be able to represent the light curves of any other variables. To this end I write to inquire whether you can put into my hands a copy of the paper containing your discussion, or discussions, of your various forms of rotating liquid masses in equilibrium. If you can do so, you will greatly oblige me and help me, perhaps, to accomplish something which may be of interest to you as furnishing tangible proof of the existence in th... (shrink)

W.E.B. Du Bois’s reading of whiteness as a “public and psychological wage” is enormously influential. This essay examines another, lesser known facet of Du Bois’s account of racialized identity: his conceptualization of whiteness as dominion. In his 1920–1940 writings, “modern” whiteness appears as a proprietary orientation toward the planet in general and toward “darker peoples” in particular. This “title to the universe” is part of chattel slavery’s uneven afterlife, in which the historical fact of “propertized human life” endures as a (...) racialized ethos of ownership. The essay examines how this “title” is expressed and reinforced in the twentieth century by the Jim Crow system of racial signs in the United States and by violent “colonial aggrandizement” worldwide. The analytic of white dominion, I argue, allows Du Bois to productively link phenomena often regarded as discrete, namely, domestic and global forms of white supremacy and practices of exploitation and dispossession. Ultimately, the entitlement Du Bois associates with whiteness is best understood as a pervasive, taken-for-granted horizon of perception, which facilitates the transaction of the “wage” but is not reducible to it. (shrink)

Wolfhart Pannenberg's eschatological ontology has been criticised for undermining the goodness and reality of finite creaturely differentiation. Drawing on David Bentley Hart's recent ontological proposal, this article explores the critique of Pannenberg's ontology, and offers a defence of Pannenberg's depiction of the relationship between difference and totality, especially as it is presented in his 1988 work, Metaphysics and the Idea of God. In this work, Pannenberg articulates a structured relationship between difference and totality in which individual finite particularities are preserved (...) and affirmed within a coherent semantic whole. Creaturely differences are not sublated or eliminated in the eschatological totality, but they are integrated into a harmonious totality of meaning. This view of the semantic function of totality can be further clarified by drawing an analogy between Pannenberg's ontological vision and Robert W. Jenson's model of the eschatological consummation as a narrative conclusion to the drama of finite reality. (shrink)