Practical Intentionality and Transcendental Phenomenology as a Practical Philosophy

This paper will deal with the problem of practical intentionality in the transcendental phenomenology of Husserl. First, through an analysis of a passage found in Logical Investigations, I will show Husserl's earlier position with respect to the problem of practical intentionality. I will then go on to critically assess this position and, with reference to some of Husserl's works written after the 1920's, prove that every intentionality should be regarded as a practical intentionality. Correspondingly, transcendental phenomenology should also be characterized as a practical philosophy. I make this statement with the following two senses in mind; transcendental phenomenology is a practical philosophy, first, in the sense that it investigates the various forms of practical intentionality and, second, in the sense that transcendental intentionality as the grounding source of transcendental phenomenology is also a kind of practical intentionality.     

The epistemology of absence-based inference

Our main aim in this paper is to contribute towards a better understanding of the epistemology of absence-based inferences. Many absence-based inferences are classified as fallacies. There are exceptions, however. We investigate what features make absence-based inferences epistemically good or reliable. In Section 2 we present Sanford Goldberg’s account of the reliability of absence-based inference, introducing the central notion of epistemic coverage. In Section 3 we approach the idea of epistemic coverage through a comparison of alethic and evidential principles. The Equivalence Schema–a well-known alethic principle–says that it is true that $p$ if and only if $p$ . We take epistemic coverage to underwrite a suitably qualified evidential analogue of the Equivalence Schema: for a high proportion of values of $p$ , subject $S$ has evidence that $p$ due to her reliance on source $S^{*}$ if and only if $p$ . We show how this evidential version of the Equivalence Schema suffices for the reliability of certain absence-based inferences. Section 4 is dedicated to exploring consequences of the Evidential Equivalence Schema. The slogan ‘absence of evidence is evidence of absence’ has received a lot of bad press. More elaborately, what has received a lot of bad press is something like the following idea: absence of evidence sufficiently good to justify belief in $p$ is evidence sufficiently good to justify belief in $\sim p$ . A striking consequence of the Evidential Equivalence Schema is that absence of evidence sufficiently good to justify belief in p is evidence sufficiently good to justify belief in $\sim p$ . We establish this claim in Section 4 and show how this supports the reliability of an additional type of absence-based inference. Section 4 immediately raises the following question: how can we make philosophically good sense of the idea that absence of evidence is evidence of absence? We address this question in Section 5. Section 6 contains some summary remarks.     

Dimensions of Religion and Spirituality: A Longitudinal Topic Modeling Approach

In lieu of the traditional text data analysis methods, structural topic modeling was utilized to analyze the text contents of 255 self-report inventories of religion and spirituality (R/S) published from 1929 to 2017. The study had two objectives: (a) to clarify and identify the latent dimensions of R/S inherent in the items of the measures; and (b) to examine and demonstrate the usefulness of a longitudinal topic modeling in the study of R/S. We identified 5,617 unique text terms from the measures and fitted topic models on those terms to extract latent dimensions called topics. We also simultaneously analyzed the longitudinal effect of publication decade (i.e., 1950s–2010s) on the topics. A topic model with three topics was chosen to best support the data: Experience of Transcendence (Topic 1), Engagement in Transcendence (Topic 2), and Essence of Transcendence (Topic 3). In addition, the longitudinal analysis revealed that Topic 1 showed a continual increase over the decades, while Topics 2 and 3 both demonstrated a gradual decrease, in effect matching the general trend of Topic 1's increasing popularity in society and the academia.     

Eye-movement patterns in face recognition are associated with cognitive decline in older adults

The Hidden Markov Modeling approach for eye-movement data analysis is able to quantitatively assess differences and similarities among individual patterns. Here we applied this approach to examine the relationships between eye-movement patterns in face recognition and age-related cognitive decline. We found that significantly more older than young adults adopted “holistic” patterns, in which most eye fixations landed around the face center, as opposed to “analytic” patterns, in which eye movements switched among the two eyes and the face center. Participants showing analytic patterns had better performance than those with holistic patterns regardless of age. Interestingly, older adults with lower cognitive status (as assessed by the Montreal Cognitive Assessment), particularly in executive and visual attention functioning (as assessed by Tower of London and Trail Making Tests) were associated with a higher likelihood of holistic patterns. This result suggests the possibility of using eye movements as an easily deployable screening assessment for cognitive decline in older adults.     

On the relation between theory of mind and executive functioning: A developmental cognitive neuroscience perspective

Theory of mind (ToM) and executive functioning (EF) show marked interrelatedness across childhood, and developmental psychologists have long been interested in understanding the nature of this association. The present review addresses this issue from a cognitive neuroscience perspective by exploring three hypotheses regarding their functional overlap: (1) ToM relies on EF (EF→ToM); (2) EF relies on ToM (ToM→EF); and (3) ToM and EF are mutually related, owing to shared neural structures or networks (ToM?EF). Drawing on evidence from normative brain development, neurodevelopmental and neurodegenerative diseases, patient lesion studies, and brain-imaging studies, we suggest that only a strict version of the ToM?EF proposal of complete neural overlap can be confidently ruled out on the basis of existing evidence. The balance of evidence suggests that separable neurobiological mechanisms likely underlie ToM and EF, with shared mechanisms for domain-general processing that support both abilities. We highlight how future studies may empirically substantiate the nature of the ToM–EF relationship using various biobehavioral approaches.     

Determining informative priors for cognitive models

The development of cognitive models involves the creative scientific formalization of assumptions, based on theory, observation, and other relevant information. In the Bayesian approach to implementing, testing, and using cognitive models, assumptions can influence both the likelihood function of the model, usually corresponding to assumptions about psychological processes, and the prior distribution over model parameters, usually corresponding to assumptions about the psychological variables that influence those processes. The specification of the prior is unique to the Bayesian context, but often raises concerns that lead to the use of vague or non-informative priors in cognitive modeling. Sometimes the concerns stem from philosophical objections, but more often practical difficulties with how priors should be determined are the stumbling block. We survey several sources of information that can help to specify priors for cognitive models, discuss some of the methods by which this information can be formalized in a prior distribution, and identify a number of benefits of including informative priors in cognitive modeling. Our discussion is based on three illustrative cognitive models, involving memory retention, categorization, and decision making.     

The Identifiable Victim Effect: Using an Experimental-Causal-Chain Design to Test for Mediation

The identifiable victim effect (IVE) refers to individuals’ tendency to offer greater aid to identifiable victims than to statistical victims. The purpose of this study was to investigate whether emotional reactions work to mediate IVE. In two experiments based on the experimental-causal-chain design proposed by Spencer et al. (Journal of Personality and Social Psychology, 89, 845–851, 2005), it was shown that an identifiable victim evokes stronger emotional reactions than does a statistical victim (Study 1). It was also demonstrated that the identifiable victim shown or described with a specific expression or information to evoke stronger emotional reactions elicited greater willingness to donate money in participants (Study 2). The results of two studies based on the experimental-causal-chain approach demonstrated that the underlying causal mechanism for the IVE is participants’ emotional reactions to identified victims. The theoretical and practical implications of the results are discussed.