Body posture and interpersonal perception in a dyadic interaction: A Big Two analysis

Body posture influences feelings about the self, but little is known about its impact on social cognition more generally. We apply the Big Two framework (Agency/Competence, Communion/Warmth) and study how body posture influences interpersonal perception in a dyadic interaction. In three experiments, we studied dyads with different body postures (Exps. 1 and 2: expanded/restricted; Exp. 3: expanded/neutral). Dyad members worked on a joint task, and rated self and other. Findings showed that participants in an expanded posture rated the self higher and the other lower on agency, whereas those in a submissive (or neutral) posture rated the self lower and the other higher on agency. In Experiment 2, participants in a submissive posture also rated their communion lower. Results are important both for the impact of body posture on interpersonal perception and for context effects in the relationship of Agency versus Communion ratings of self and others.     

The five-factor model of personality and physical inactivity: A meta-analysis of 16 samples

A sedentary lifestyle is harmful for health; personality traits may contribute to physical (in)activity. With participant-level data from 16 samples (N > 125,000), we examined the personality correlates of physical inactivity, frequency of physical activity, and sedentary behavior (in a subset of samples). Lower Neuroticism and higher Conscientiousness were associated with more physical activity and less inactivity and sedentary behavior. Extraversion and Openness were also associated with more physical activity and less inactivity, but these traits were mostly unrelated to specific sedentary behaviors (e.g., TV watching). The results generally did not vary by age or sex. The findings support the notion that the interest, motivational, emotional, and interpersonal processes assessed by five-factor model traits partly shape the individual’s engagement in physical activity.     

Who is having more and better sex? The Big Five as predictors of sex in marriage

Prior research has been somewhat inconsistent in demonstrating links between personality and sexual functioning. We pooled the data from three independent daily-diary studies of newlywed couples to examine the association between individuals’ Big Five traits and the probability of sex on a given day; we also pooled the data from the two studies that assessed satisfaction with sex to examine the association between these traits and individuals’ satisfaction with sex when it occurred. Couples with wives high in agreeableness engaged in more frequent sex. Husbands low in openness or neuroticism and wives low in neuroticism reported increased satisfaction with sex when it occurred. Partner personality was unrelated to satisfaction with sex when it occurred.     

Do age stereotypes as social role expectations for older adults influence personality development?

Age stereotypes as social role expectations for older adults were hypothesized to influence personality development in later life for specific stereotype domain x personality trait combinations. N = 965 participants aged 50–60 from the Midlife Development in the U.S. (MIDUS) study provided ratings about “people in their late sixties” in four domains at T₁ and completed a personality questionnaire at T₁ and at T₂ ten years later. Personality at T₂ was regressed on age stereotypes and personality at baseline. Age stereotypes in the domains Family/Relationships and Wisdom were related to changes in both Agreeableness and Extraversion over ten years. The findings provide tentative support for the role of positive age stereotypes in personality development in older age.     

Not as Different as We Want to Be: Attitudinally Consistent Trait Desirability Leads to Exaggerated Associations Between Personality and Sociopolitical Attitudes

Research connecting sociopolitical attitudes to personality typically relies exclusively on self‐report measures of personality. A recently discovered mechanism of bias in self‐reports highlights a particular challenge for this approach. Specifically, individuals tend to report exaggerated levels of a trait to the extent that they view that trait as desirable. In a community sample of 443 participants, differences in sociopolitical attitudes were associated with differences in the extent to which individuals provided biased self‐reports for a given trait (relative to trait levels indicated by peer‐report or an objective measure) as well as differences in views of the desirability of that trait. Further, the tendency to misrepresent traits in a manner consistent with one's sociopolitical attitudes was mediated by differences in views of trait desirability. Thus, although meaningful personality differences exist among those with differing sociopolitical attitudes, those differences may not be as large as people with opposing sociopolitical attitudes might like them to be.     

The Map and the Territory: Complexity in Biology

In business administration or in economics it is absolutely relevant not to consider indexes like profit growth rate or gross domestic product as exhaustive indexes for economic wealth. Likewise, in biology it is important not to confuse the representation of life with life itself. The most important concepts in biology are information, memory, structure, plasticity, and robustness. Information is the difference that makes the difference. Memories are information registered in an organism. Plasticity is the capacity of a living organism to change its own structure/sets of behaviors for having a competitive advantage. Robustness is the ability of a living organism to resist environmental changes without changing its own structure/sets of behavior, and fragility is when a living organism undergoes changes in its own structure without being able to resist non-adaptive changes.     

Learning Orthographic Structure With Sequential Generative Neural Networks

Learning the structure of event sequences is a ubiquitous problem in cognition and particularly in language. One possible solution is to learn a probabilistic generative model of sequences that allows making predictions about upcoming events. Though appealing from a neurobiological standpoint, this approach is typically not pursued in connectionist modeling. Here, we investigated a sequential version of the restricted Boltzmann machine (RBM), a stochastic recurrent neural network that extracts high‐order structure from sensory data through unsupervised generative learning and can encode contextual information in the form of internal, distributed representations. We assessed whether this type of network can extract the orthographic structure of English monosyllables by learning a generative model of the letter sequences forming a word training corpus. We show that the network learned an accurate probabilistic model of English graphotactics, which can be used to make predictions about the letter following a given context as well as to autonomously generate high‐quality pseudowords. The model was compared to an extended version of simple recurrent networks, augmented with a stochastic process that allows autonomous generation of sequences, and to non‐connectionist probabilistic models (n‐grams and hidden Markov models). We conclude that sequential RBMs and stochastic simple recurrent networks are promising candidates for modeling cognition in the temporal domain.     

Cartographic systems and non-linguistic inference

It is often assumed that the capability to make inferences requires language. Against this assumption, I claim that inferential abilities do not necessarily require a language. On the contrary, certain cartographic systems could be used to explain some forms of inferences, and they are capable of warranting rational relations between contents they represent. By arguing that certain maps, as well as sentences, are adequate for inferential processes, I do not mean to neglect that there are important differences between maps and sentences. Instead, the purpose of this paper is to highlight interesting distinctions that might affect the way that cartographic thinking works.     

Explaining and Explaining Away in Cosmology and Theology

Modern cosmology raises two significant questions that potentially relate to theology: does the universe have a beginning, and why is the universe so apparently fine tuned for life? In a significant paper, Mark McCartney and David Glass ask whether science can explain away, or at least explain away in part, such features of the universe in cosmology and other sciences that may alternatively invite a theological explanation. In this paper I argue that two proposals made by cosmologists fail to explain away the universe's beginning, and that science is powerless to explain away the more fundamental question as to why there is a universe at all. I argue similarly that scientific, or quasi-scientific, proposals such as the multiverse fail to explain away the fine tuning.