Creative Thinking Strategies for Life: A Course for Professional Adults Using Art

To thrive in today's economy and the workforce of the future, individuals need creativity and problem-solving skills. Emotion skills have been increasingly discussed as well, with companies listing emotional intelligence as one of the top skills needed for professional success. The present paper describes a course designed to teach professional adults two sets of creativity skills (problem finding and idea generation) and two sets of emotional intelligence skills (using emotions to facilitate thinking and understanding emotions) using visual art as a medium. The course consisted of eight, 60-min sessions in which professional adults participated in art observation and art engagement activities. Fifty-six professional adults completed measures of creative abilities and emotional intelligence skills in a pretest, posttest, and 2-month follow-up design. Participants who engaged in the course showed significant gains in the originality of their ideas on divergent thinking and problem construction tasks, as well as their self-reported creative behavior compared with controls. No significant changes in emotion understanding were detected. We discuss the course's distinct value to creativity and emotion skills training research.     

Socially emotional brain-inspired cognitive architecture framework for artificial intelligence

Artificial Intelligence of the next generation needs to interact with users socially, convincing them in its ability to understand human minds, including emotions. For this to happen, an artificial emotional intelligence is needed, capable of adequate, believable behavior in social emotional interactions. Building on previous developments, the present work extends the general framework of emotional Biologically Inspired Cognitive Architecture (eBICA: Samsonovich, 2013, 2018), endowing it with fluents describing, in addition to appraisals, somatic markers, feelings, emotions, moods, emotional reactions and biases. Key building blocks that integrate them are moral schemas and semantic maps. The model describes interaction of three factors: plans and commitments, moral and ethical values, and somatic comfort. Learning in this framework includes self-organization of semantic maps that in turn may provide guidance for active humanlike learning. Implications for empirical studies and practical applications are discussed together with the expected impact.     

ISLAMIC PHILOSOPHY AND ARTIFICIAL INTELLIGENCE: EPISTEMOLOGICAL ARGUMENTS

This essay presents an analysis of different processes of machine learning: supervised, unsupervised, and semisupervised, through the prism of the epistemologies of several prominent Islamic philosophical schools. I discuss the way each school conceptualizes the ontological absolute (immortality, death, afterlife) and the way this shapes their respective epistemologies. I present an analysis of the different machine learning processes through the prism of the epistemological constructs of each of these philosophic traditions. I conclude with the argument that more scholars from the Islamic philosophical tradition should engage in the debates about the development of artificial intelligence and its implications, given that many Muslim countries are among the leaders in this development and its application in everyday life.     

Parallel distributed processing and neuropsychology: A neural network model of Wisconsin card sorting and verbal fluency

Neural networks can be used as a tool in the explanation of neuropsychological data. Using the Hebbian Learning Rule and other such principles as competition and modifiable interlevel feedback, researchers have successfully modeled a widely used neuropsychological test, the Wisconsin Card Sorting Test. One of these models is reviewed here and extended to a qualitative analysis of how verbal fluency might be modeled, which demonstrates the importance of accounting for the attentional components of both tests. Difficulties remain in programming sequential cognitive processes within a parallel distributed processing (PDP) framework and integrating exceedingly complex neuropsychological tests such as Proverbs. PDP neural network methodology offers neuropsychologists co-validation procedures within narrowly defined areas of reliability and validity.     

Les théories implicites de l’intelligence : une question de perspectives ?

IntroductionImplicit theories of intelligence are beliefs that people form regarding the malleability of intelligence. The so-called “growth” and “fixed” mindsets respectively view intelligence as a characteristic that can or cannot be changed. Psychology, as a science, also offers diverging responses. The developmental and differential traditions in the study of intelligence merely provide different answers because they do not focus on the same sources of variability nor on the same dimensions of intelligence.ObjectivesThe research question that guided the present studies was: Are people's naïve theories influenced by the same factors that drive developmental and differential psychologists to different conclusions?MethodIn Study 1, we first assessed participants’ (n = 509) reference norm orientation (i.e. whether they tend to focus on individual or social comparison), using a task in which they had to predict the school results of an hypothetical child. Then we administered a French version of Dweck's (2007) mindset scale. In study 2, we first asked participants (n = 530) to choose between two definitions of intelligence focusing either on its fluid or crystalized dimensions. Then we administered the French Mindset Scale and asked participants to justify their conclusion.ResultsBoth variables of interest (reference norm orientation and preferred definition of intelligence) had a significant effect on the participant's incremental beliefs.ConclusionThe results of the two studies as well as the qualitative analysis of participants’ arguments suggest that mindsets, like scientific theories, partly stem from the fact that the same question regarding intelligence malleability can be approached with two different perspectives.     

When faces and voices come together: Face width-to-height ratio and voice pitch contribute independently to social perception

Prior research has shown that the face's width-to-height ratio (fWHR) and the voice's pitch influence social perception. Yet, the relative contribution of either cue has been largely unexplored. We examined the simultaneous effects of fWHR and pitch on social evaluations. Experiment 1 (N = 102) tested how such cues shaped global impressions. Experiment 2 (N = 121) tested fWHR and pitch's effect on behavioural affiliative intentions, framing social interaction as a physical or an intellectual competition. Experiment 3 (N = 57) assessed whether variations in fWHR and pitch could influence trait attribution (i.e., physical formidability and intelligence). Individuals with large faces or low-pitched voices elicited negative impressions, positive behavioural intentions in a physical competition, and the attribution of stronger formidability but lower intelligence. Across the studies, cues exerted independent effects. The implications of these findings for research on cross-modal social perception are discussed.     

SPIRITUAL INTELLIGENCE: PROCESSING DIFFERENT INFORMATION OR PROCESSING INFORMATION DIFFERENTLY?

This article introduces the concept of spiritual intelligence in terms of a natural human ability to take a different perspective on reality rather than an extraordinary ability to engage with a different/supernatural reality. From a cognitive perspective, spiritual intelligence entails a re-balancing of the two main modes of human cognition, with a prioritization of the holistic-intuitive mind over the conceptual one. From the psychological and phenomenological perspectives, it involves a different kind of engagement with information: slower, more participatory, less objectifying, and not focused entirely on problem solving. The article ends with a reflection on the theological implications of the proposed model and how such an account of spiritual intelligence as knowing differently might relate to theological anthropology and the theology of the spirit and the spiritual.     

Développement initial et processus de validation de l’échelle d’auto-efficacité émotionnelle au travail

The study aims to develop and present the validation process of a questionnaire on emotional self-efficacy in the work context from the six steps proposed by Dussault et al. (2007). The study is based on the theories of emotional intelligence of Mayer and Salovey (1997), Petrides and Furham (2001) and the self-efficacy of Bandura (1997). Following an expert analysis and a pre-test, the Emotional Self-Efficacy at Work scale is composed of 41 items. The participants are 985 Canadian workers. The results of confirmatory factor analyzes support the seven-dimensional structure, namely the self-efficiency to perceive one's emotions and those of others at work, the self-efficiency to use emotions at work, the self-efficiency to understand one's emotions and those of others at work and finally, the self-efficiency to manage one's emotions and those of others at work. The results also indicate that the seven dimensions have satisfactory internal coherence indices. The results suggest that this questionnaire is well suited to describe emotional self-efficacy at work. The use of the questionnaire will be discussed.