We discuss our concerns associated with three assumptions upon which the model of Levelt, Roelofs & Meyer is based: assumed generalisability of decontextualised experimental programs, assumed highly modular architecture of the language production systems, and assumed symbolic computations within the language production system. We suggest that these assumptions are problematic and require further justification.

Recent studies suggest that insects use pattern recognition molecules to distinguish prokaryotic pathogens and fungi from “self” structures. Less understood is how the innate immune system of insects recognizes endoparasitic Hymenoptera and other eukaryotic invaders as foreign. Here we discuss candidate recognition factors and the strategies used by parasitoids to overcome host defense responses. We suggest that host–parasitoid systems are important experimental models for studying how the innate immune system of insects recognizes foreign invaders that are phylogenetically more closely related (...) to their hosts. The strategies used by parasitoids suggest that insects may employ “hidden-self” recognition molecules for attacking foreign objects intruding the open circulatory system. BioEssays 23:344–351, 2001. © 2001 John Wiley & Sons, Inc. (shrink)

A common practice in textbooks is to introduce concepts or strategies in association with specific people. This practice aligns with research suggesting that using “real-world” contexts in textbooks increases students’ motivation and engagement. However, other research suggests this practice may interfere with transfer by distracting students or leading them to tie new knowledge too closely to the original learning context. The current study investigates the effects on learning and transfer of connecting mathematics strategies to specific people. A total of 180 (...) college students were presented with an example of a problem-solving strategy that was either linked with a specific person or presented without a person. Students who saw the example without a person were more likely to correctly transfer the novel strategy to new problems than students who saw the example presented with a person. These findings are the first evidence that using people to present new strategies is harmful for learning and transfer. (shrink)

Scholars have long suggested that CEOs can benefit from corporate philanthropy. However, little is known about this relationship in contexts of authoritarian capitalism such as China, where the state not only uses its control of economic entities to pursue social goals but also plays a key role in CEOs’ careers. We theorize how corporate philanthropy among state-controlled firms increases the CEO’s likelihood of receiving career benefits from the state in the form of outside directorships. Outside directorships represent an important form (...) of social capital in the Chinese context, and corporate philanthropy is an important mechanism through which social capital can be acquired. In addition, we theorize how two factors—the degree of state ownership and the number of independent directors on the CEO’s board—moderate this relationship. Analyzing a 12-year panel of state-controlled, publicly-listed firms in China comprising 6,594 firm-year observations, we find general support for our ideas. In so doing, we contribute to scholarship on the business–society relationship and corporate governance in the context of authoritarian capitalism. (shrink)

Is synaesthesia cognitively useful? Individuals with time–space synaesthesia experience time units as idiosyncratic spatial forms, and report that these forms aid them in mentally organising their time. In the present study, we hypothesised that time–space synaesthesia would facilitate performance on a time-related cognitive task. Synaesthetes were not specifically recruited for participation; instead, likelihood of time–space synaesthesia was assessed on a continuous scale based on participants’ responses during a semi-structured interview. Participants performed a month-manipulation task, which involved naming every second month (...) or every third month in reverse-chronological order, beginning and ending with a target month. Using hierarchical multiple regression, we found that time–space synaesthesia corresponded with faster performance on both versions of the task. We propose that time–space synaesthesia may expedite the cognitive manipulation of time-based information. Our results also indicate that synaesthesia is far less unusual than widely believed. (shrink)

The relationship between memory and imagination has long intrigued philosophers. One focus of recent debate in this area has been the question whether memory and imagination differ in kind or merely in degree, with discontinuists holding that remembering indeed differs in kind from imagining, while continuists hold that even successful remembering differs from imagining only in degree. Another recent focus has been the need to approach memory and imagination from a broadly normative perspective, in an attempt to explain what it (...) is for remembering and imagining to succeed or fail. The goal of this special issue, which builds on an online workshop organized in 2022 by the Institute of Philosophy of Mind and Cognition at the National Yang Ming Chiao Tung University and the Centre for Philosophy of Memory at the Université Grenoble Alpes, is to explore memory, imagination, and the relation between them from this normative perspective. (shrink)

In the past two decades, the public communication of universities has become more important and received increased scholarly attention. While many studies have focused on individual university communicators (micro level) or all such practitioners in one country (macro level), our study analyzes organizational differences. It is the first-ever study to typologize universities’ communication practices and structures at the organizational level across an entire country. Based on a survey of communication practitioners in the central communication offices at all universities in Switzerland (...) and using hierarchical cluster analysis, we classify 37 universities into four types of communicating universities: minimalists, well-resourced competitors, specialized strategists, and professional all-rounders. Those types are further characterized on the basis of official statistics. The analysis shows that the four types of universities differ considerably in their communication patterns and organizational characteristics and that the amount of resources available for communication is only loosely coupled with professional and strategic communication practices. (shrink)

In response to calls for greater interdisciplinary involvement from the social sciences and humanities in the development, governance, and study of artificial intelligence systems, this paper presents one sociologist’s view on the problem of algorithmic bias and the reproduction of societal bias. Discussions of bias in AI cover much of the same conceptual terrain that sociologists studying inequality have long understood using more specific terms and theories. Concerns over reproducing societal bias should be informed by an understanding of the ways (...) that inequality is continually reproduced in society—processes that AI systems are either complicit in, or can be designed to disrupt and counter. The contrast presented here is between conservative and radical approaches to AI, with conservatism referring to dominant tendencies that reproduce and strengthen the status quo, while radical approaches work to disrupt systemic forms of inequality. The limitations of a conservative approach to racial bias are discussed through the specific example of biased criminal risk assessments and Indigenous overrepresentation in Canada’s criminal justice system. This illustrates the dangers of treating racial bias as a generalizable problem and equality as a generalizable solution, emphasizing the importance of considering inequality in context. Societal issues can no longer be out of scope for AI and machine learning, given the impact of these systems on human lives. This requires engagement with a growing body of critical AI scholarship that goes beyond biased data to analyze structured ways of perpetuating inequality, opening up the possibility for interdisciplinary engagement and radical alternatives. (shrink)

Logic: Techniques of Formal Reasoning, 2/e is an introductory volume that teaches students to recognize and construct correct deductions. It takes students through all logical steps--from premise to conclusion--and presents appropriate symbols and terms, while giving examples to clarify principles. Logic, 2/e uses models to establish the invalidity of arguments, and includes exercise sets throughout, ranging from easy to challenging. Solutions are provided to selected exercises, and historical remarks discuss major contributions to the theories covered.

ABSTRACT:Drawing a framework from strategic stakeholder theory and using 1999 to 2010 panel data from the United Kingdom’s (UK) non-life insurance industry, we examine the effect of reinsurance on the decisions to donate to charities, and the amount given. We find that reinsurance substitutes for charitable giving as it optimizes the interests of multiple stakeholders. We further note that corporate giving is directly related to the size and age of insurers, proportion of female directorships and insider ownership, but generally inhibited (...) by chief executive officer (CEO) bonus plans, dominant shareholders, and financial experts on the board. Interestingly, when reinsurance interacts with board-level variables we find that the donations decision is positively related to CEO bonus plans, and negatively linked with inside ownership and the proportion of female board members. Our research results could have important implications for stakeholders. (shrink)

How do people use past experience to generalise to novel cases? This paper reports four experiments exploring the significance on one class of past experiences: encounters with negative or contrasting cases. In trying to decide whether all ravens are black, what is the effect of learning about a non-raven that is not black? Two experiments with preschool-aged, young school-aged, and adult participants revealed that providing a negative example in addition to a positive example supports generalisation. Two additional experiments went on (...) to ask which kinds of negative examples offer the most support for generalisations. These studies contrasted similarity-based and category-based accounts of inductive generalisation. Results supported category-based predictions, but only for preschool-aged children. Overall, the younger children showed a greater reliance on negative evidence than did older children and adults. Most things we encounter in the world are negative evidence for our generalisations. Understanding the role of negative evidence is central for psychological theories of inductive generalisation. (shrink)

Are people rational? This question was central to Greek thought and has been at the heart of psychology and philosophy for millennia. This book provides a radical and controversial reappraisal of conventional wisdom in the psychology of reasoning, proposing that the Western conception of the mind as a logical system is flawed at the very outset. It argues that cognition should be understood in terms of probability theory, the calculus of uncertain reasoning, rather than in terms of logic, the calculus (...) of certain reasoning. (shrink)

Part of understanding the meaning and power of algorithms means asking what new demands they might make of ethical frameworks, and how they might be held accountable to ethical standards. I develop a definition of networked information algorithms as assemblages of institutionally situated code, practices, and norms with the power to create, sustain, and signify relationships among people and data through minimally observable, semiautonomous action. Starting from Merrill’s prompt to see ethics as the study of “what we ought to do,” (...) I examine ethical dimensions of contemporary NIAs. Specifically, in an effort to sketch an empirically grounded, pragmatic ethics of algorithms, I trace an algorithmic assemblage’s power to convene constituents, suggest actions based on perceived similarity and probability, and govern the timing and timeframes of ethical action. (shrink)

I challenge the dominant understanding of what it means to say two thoughts are associated. The two views that dominate the current literature treat association as a kind of mechanism that drives sequences of thought. The first, which I call reductive associationism, treats association as a kind of neural mechanism. The second treats association as a feature of the kind of psychological mechanism associative processing. Both of these views are inadequate. I argue that association should instead be seen as a (...) highly abstract filler term, standing in for causal relations between representational states in a system. Associations, so viewed, could be implemented by many different mechanisms. I outline the role that this view gives associative models as part of a top-down characterization of psychological processes of any kind and of any complexity. (shrink)

Philosophers and psychologists have long worried that the human tendency to anthropomorphize leads us to err in our understanding of nonhuman minds. This tendency, which I call intuitive anthropomorphism, is a heuristic used by our unconscious folk psychology to understand nonhuman animals. The dominant understanding of intuitive anthropomorphism underestimates its complexity. If we want to understand and control intuitive anthropomorphism, we must treat it as a cognitive bias and look to the empirical evidence. This evidence suggests that the most common (...) control for intuitive anthropomorphism, Morgan’s Canon, should be rejected, while others are incomplete. It also suggests new approaches. (shrink)

According to Aristotle, humans are the rational animal. The borderline between rationality and irrationality is fundamental to many aspects of human life including the law, mental health, and language interpretation. But what is it to be rational? One answer, deeply embedded in the Western intellectual tradition since ancient Greece, is that rationality concerns reasoning according to the rules of logic – the formal theory that specifies the inferential connections that hold with certainty between propositions. Piaget viewed logical reasoning as defining (...) the end-point of cognitive development; and contemporary psychology of reasoning has focussed on comparing human reasoning against logical standards. (shrink)

Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that language themselves. We analyze the consequences of iterated learning for learning algorithms based on the principles of Bayesian inference, assuming that learners compute a posterior distribution over languages by combining a prior (representing their inductive biases) with the evidence provided by linguistic data. We show that when learners sample languages from this posterior (...) distribution, iterated learning converges to a distribution over languages that is determined entirely by the prior. Under these conditions, iterated learning is a form of Gibbs sampling, a widely-used Markov chain Monte Carlo algorithm. The consequences of iterated learning are more complicated when learners choose the language with maximum posterior probability, being affected by both the prior of the learners and the amount of information transmitted between generations. We show that in this case, iterated learning corresponds to another statistical inference algorithm, a variant of the expectation-maximization (EM) algorithm. These results clarify the role of iterated learning in explanations of linguistic universals and provide a formal connection between constraints on language acquisition and the languages that come to be spoken, suggesting that information transmitted via iterated learning will ultimately come to mirror the minds of the learners. (shrink)

Researchers studying the psychology of concepts frequently draw distinctions between artificial and natural concepts. Unfortunately, there is a lack of consensus regarding the foundations and implications of the distinction. This paper provides a review and evaluation of the different ways researchers have approached the question of conceptual naturalness. Accounts may be divided into 2 approaches described as psychologically or externally based. These characterizations motivate distinctive sets of research questions. In addition to the particular implications, the author also considers the general (...) significance of a distinction between natural and artificial concepts. 2012 APA, all rights reserved). (shrink)

Philosophers and psychologists make many different, seemingly incompatible parsimony claims in support of competing models of cognition in nonhuman animals. This variety of parsimony claims is problematic. Firstly, it is difficult to justify each specific variety. This problem is especially salient for Morgan's Canon, perhaps the most important variety of parsimony claimed. Secondly, there is no systematic way of adjudicating between particular claims when they conflict. I argue for a view of parsimony in comparative psychology that solves these problems, based (...) on Sober's view that parsimony claims are claims that one model is more plausible given background theory. (shrink)

Three experiments with preschool- and young school-aged children (N = 75 and 53) explored the kinds of relations children detect in samples of instances (descriptive problem) and how they generalize those relations to new instances (inferential problem). Each experiment initially presented a perfect biconditional relation between two features (e.g., all and only frogs are blue). Additional examples undermined one of the component conditional relations (not all frogs are blue) but supported another (only frogs are blue). Preschool-aged children did not distinguish (...) between supported and undermined relations. Older children did show the distinction, at least when the test instances were clearly drawn from the same population as the training instances. Results suggest that younger children’s difficulties may stem from the demands of using imperfect correlations for predictions. Older children seemed sensitive to the inferential problem of using samples to make predictions about populations. (shrink)

There is sufficient evidence to believe that variations in the error-related negativity (ERN) are linked to dispositional characteristics in individuals. However, explanations of individual differences in the amplitude of the ERN cannot be derived from functional theories of the ERN. The ERN has a counterpart that occurs after correct responses (correct-response negativity, CRN). Based on the assumption that ERN and CRN reflect an identical cognitive process, variations in CRN might be associated with dispositional characteristics as well. Higher CRN amplitudes have (...) been found to reflect task engagement. In the present study, a simple-choice-reaction task was used to investigate ERN and CRN amplitudes in relation to their score on a conscientiousness scale. The task consisted of a simple rule that required pressing the left or right key when a circle or square appeared, respectively. During alternative conditions that occur infrequently, participants were instructed to violate or reverse the previously established response rules. Smaller ΔERN amplitudes (manifested in almost equal CRN and ERN amplitudes) and a tendency of better task performance from participants scoring high on the conscientiousness scale might indicate a greater focus on the task and higher motivation of responding correctly. In addition, higher Pc amplitudes directly following the CRN indicated that the response monitoring system of less conscientious participants showed a higher disengagement. The role of individual differences in CRN amplitude should be studied in future experiments on performance monitoring. (shrink)