We propose a cognitive-psychological model of linguistic intuitions about copredication statements. In copredication statements, like "The book is heavy and informative," the nominal denotes two ontologically distinct entities at the same time. This has been considered a problem for standard truth-conditional semantics. In this paper, we…

The topic of Bayesian updating is explored using standard and non-standard dice as an intuitive and motivating model. Details of calculating posterior probabilities for a discrete distribution are provided, offering a different view to P-values. This article also includes the stars and bars counting technique, a powerful method of counting that is…

Both scientists and children make important structural discoveries, yet their computational underpinnings are not well understood. Structure discovery has previously been formalized as probabilistic inference about the right structural form--where form could be a tree, ring, chain, grid, etc. (Kemp & Tenenbaum, 2008). Although this approach…

A textbook model of a contagious disease, the dynamics of which are represented by the SIS epidemic model with saturating treatment, is considered. I show that this model, as originally formulated, is not dimensionally consistent. The model can be fixed by including a dimensional constant [alpha] of value one (with units individuals[superscript…

While educational development has long been aligned with organizational development in the literature (Berquist & Phillips, 1975; Gaffe, 1975), in practice this link has faded with time. Schroeder (2011) has recently asserted that given the broad-based changes in teaching and learning that are taking place at universities, it is important that…

The issues surrounding native speakers (NSs) and nonnative speakers (NNSs) as teachers (NESTs and NNESTs, respectively) in the field of teaching English to speakers of other languages (TESOL) are a current topic of interest. In many contexts, the native speaker of English is viewed as the model teacher, thus putting the NEST into a position of…

We present an algorithmic model for the development of children's intuitive theories within a hierarchical Bayesian framework, where theories are described as sets of logical laws generated by a probabilistic context-free grammar. We contrast our approach with connectionist and other emergentist approaches to modeling cognitive development. While…

On the basis of earlier findings, we (Fiedler & Kareev, 2006) presented a statistical decision model that explains the conditions under which small samples of information about choice alternatives inform more correct choices than large samples. Such a small-sample advantage (SSA) is predicted for choices, not estimations. It is contingent on high…

Most current ethical decision-making models provide a logical and reasoned process for making ethical judgments, but these models are empirically unproven and rely upon assumptions of rational, conscious, and quasi-legal reasoning. Such models predominate despite the fact that many nonrational factors influence ethical thought and behavior,…

The perspective of the naive intuitive statistician is outlined and applied to explain overconfidence when people produce intuitive confidence intervals and why this format leads to more overconfidence than other formally equivalent formats. The naive sampling model implies that people accurately describe the sample information they have but are…

The Social Intuitionist Model (SIM) of moral reasoning proposed by Jon Haidt and colleagues (Haidt, 2001; Haidt & Bjorklund, 2006) is criticized on the grounds that (1) its conclusions concerning moral reasoning are unwarranted by research reporting 'dumbfounded' responses by subjects whose initial judgments are challenged and judgments…

Clinical supervision is an important aspect of counselor education. Much of traditional supervision is conducted from a logical standpoint; however, some supervisees may be better served when supervisors integrate both logic and creativity. This article presents the integration of creative activities into supervision using Bernard's Discrimination…

Johnson-Laird and coworkers' Mental Model theory of propositional reasoning is shown to be somewhere in between what logicians have defined as "credulous" and "skeptical" with respect to the conclusions it draws on default reasoning problems. It is then argued that in situations where skeptical reasoning has been shown to lead to problematic…

Despite significant progress over the past six decades, a number of obstacles still exist as far as the understanding and application of inventive ideation techniques is concerned. This paper describes the development of a model aimed at simplifying the selection and application of these techniques. Analysis of a diverse range of creative thinking…

Challenges Smolensky's theory that human intuitive/nonconscious cognitive processes can only be accurately explained in terms of subsymbolic computations in artificial neural networks. Symbolic learning models of two cognitive tasks involving nonconscious acquisition of information are presented: learning production rules and artificial finite…