Emotional, social, and cognitive intelligence competencies have been recognized as the most critical capabilities for organizations to acquire at all levels. For this reason, a wide body of research since the 1980s has demonstrated their positive impact on individual performance, career success, and wellbeing across sectors and professional roles, and a large number of theoretical contributions on how these competencies can be effectively developed has emerged over time. We focus attention on the developmental and learning (...) processes of emotional, social, and cognitive intelligence competencies that occur after formal training or educational courses provided by universities or certified organizations and directed to students or practitioners. Specifically, we conduct an exploratory literature review on the existing academic studies in order to identify the scholars and the pieces of research contributing most to the debate under investigation. This article aims at analyzing this body of research through a systematic review of the literature in order to: i) provide a comprehensive critical analysis of the distinctive features of the theoretical and methodological frameworks adopted to develop these competencies; ii) review the contexts in which the training initiatives analyzed by the literature have been delivered and the categories of learner involved; iii) discuss the learning outcomes of these educational programs and how they have been assessed; iv) identify gaps and inconsistencies in the current state of the literature, suggesting promising paths for future research; and v) stimulate insights for educators, human resource managers, executives, and policymakers by organizing and critically analyzing the extant contributions on competency development. This review represents the first attempt to systematize the methodologies of the educational programs for competency development and to assess their effectiveness in order to assist educators and executives in their ongoing efforts to equip students and employees with the relevant skills needed to achieve superior performance in the workplace. At the institutional level, policymakers should promote a dedicated agenda with concrete actions to equip people with emotional and social intelligence competencies. (shrink)

Machiavellianism, emotional intelligence and social competence: Are Machiavellians interpersonally skilled? Machiavellians are usually associated with unusually high interpersonal skills which seem to be vital for effective manipulation of other people. However, the current research has not confirmed such an opinion. The aim of this study was to examine relations between Machiavellianism and self-report emotional intelligence, self-report social competences and recognizing emotions from facial expressions. Mach was negatively correlated with EI and SC overall result and with subscales (...) of social competences in intimate situations and in situations requiring social exposure. There was no correlation between Mach and recognizing emotions and between Mach and social competences in situations requiring assertiveness. Exploratory path analyses showed a direct negative association between Mach and EI, SC-I and SC-ES. Mach predicted indirectly SC-I, SC-ES and SC-A. (shrink)

Acute stress has been linked with prosocial behavior, yet it is entirely unexplored how different types of stressors may affect individuals’ willingness to help: This is particularly relevant while people is experiencing multiple sources of stress due to the COVID-19 pandemic. Here we explore whether different types of stress influence peoples’ giving behavior and the moderating role of emotional intelligence. Undergraduate students were exposed to experimentally induced social, cognitive, or emotional stress and were asked to self-report on (...) their willingness to help and donate to a charity raising funds for COVID-19 and flu patients. Results showed that when compared to a control condition, after being exposed to a social stress, participants were more willing to help a person in need. Our results also provide evidence that, after experiencing a social stress, participants with high trait EI were more willing to help, and, as a result, donated more. Findings indicate that moderate levels of distress are associated with increased donations. Interestingly, when stress is not too threatening, high EI can regulate it and promote prosocial behaviors. (shrink)

The discussion around artificial empathy and its ethics is not a new one. This concept can be found in classic science fiction media such as Star Trek and Blade Runner and is also pondered on in more recent interactive media such as the video game Detroit: Become Human. In most depictions, emotions and empathy are presented as the key to being human. Misselhorn's new publication shows that these futuristic stories are becoming more and more relevant today. We must ask ourselves (...) whether we are socially responsible enough to deal with the consequences of artificial empathy/awareness. If we create artificial life, we should be prepared to treat them accordingly as living beings with respect and no longer categorize them as objects. The author does not rule out the idea that machines might one day become more human than humans themselves and that we humans might even lose our own specific cognitive, emotional and social abilities. (shrink)

School gardens are part of many schools. Especially in primary schools, but also in secondary schools, they are used as a learning space and experience space for the pupils. Their importance for the development of cognitive and emotional-affective abilities of pupils is empirically well proven. It is also empirically well proven that exposure to nature has an influence on the prosocial behavior of children and adults. However, there is a lack of studies investigating the effect of the stay in (...) the school garden on the social behavior of pupils in secondary class. To investigate whether a school garden is a good environment for social learning, a self-report study and standardized observations with sixth-grade pupils were carried out. Thus, the socially competent behavior of the pupils (communication and cooperation) and their emotions could be analyzed. In order to provide emotional access to the scientific content of biology lessons and to strengthen social learning, each pupil was responsible for their own plant and the group bed over a period of 10 weeks. The design of the lessons followed the principles of basic needs—competence, autonomy, and relatedness—of the Self Determination Theory. The observations were made during a 90-min class, in the school garden as well in the classroom. The 31 girls and 22 boys, aged 11–12 years, changed weekly between the garden and the classroom. Over 150 observations were made in the school garden (82) and in the classroom (68). In summary, pupils showed more socially competent behavior in school garden lessons than in classroom lessons. The school garden lessons, designed according to the basic needs, seem to create favorable incentives for social learning. Due to frequent social interactions, it can be assumed that learning activities in school gardens can promote emotional and social competence. (shrink)

This essay describes trends in the organization of work that have laid the groundwork for the adoption of interactive AI-driven instruction tools, and the technological innovations that will make intelligent tutoring systems truly competitive with human teachers. Since the origin of occupational specialization, the collection and transmission of knowledge have been tied to individual careers and job roles, specifically doctors, teachers, clergy, and lawyers, the paradigmatic knowledge professionals. But these roles have also been tied to texts and organizations that can (...) disseminate knowledge independently from professionals. Professionals and organizations turn knowledge into texts and tools that enable lay people to access knowledge without the intermediation of professionals or organizations. In the 21st century, one emerging tool for transmitting knowledge is the intelligent tutoring system. This paper examines how technological, epistemic, and economic trends in education are supporting the routinization, proletarianization, and automation of the occupation of teaching, leading to the increasing substitution of intelligent tutoring systems for human instruction. Some trends, such as standardized curricula and testing, both restrict teachers’ professional autonomy and facilitate the creation of pedagogical tools. Other trends reduce teachers’ ability to resist automation. The growth of adjunct teaching and paraprofessional roles in higher education allows organizations to take over and rationalize parts of the traditional teacher role. Faculty evaluations and learning outcomes assessment weaken professional claims to be the sole arbiters of instructional quality and student learning. The widespread use of intelligent tutoring systems also depends on the sophistication of software capable of performing the social-emotional and cognitive roles that educators perform. Eventually, pedagogical software will be able to interactively individualize curricula to the needs and interests of every learner, more cheaply, quickly, and accurately than any human teacher. Assessment of learning will be continuous, and certification of learning will be for specific skills instead of broad area competencies. Intelligent tutoring systems will help transition education from its medieval and industrial-era model to more accessible and flexible continuing education for employment and life enrichment. (shrink)

This target article considers the relation of fluid cognitive functioning to general intelligence. A neurobiological model differentiating working memory/executive function cognitive processes of the prefrontal cortex from aspects of psychometrically defined general intelligence is presented. Work examining the rise in mean intelligence-test performance between normative cohorts, the neuropsychology and neuroscience of cognitive function in typically and atypically developing human populations, and stress, brain development, and corticolimbic connectivity in human and nonhuman animal models is reviewed (...) and found to provide evidence of mechanisms through which early experience affects the development of an aspect of cognition closely related to, but distinct from, general intelligence. Particular emphasis is placed on the role of emotion in fluid cognition and on research indicating fluid cognitive deficits associated with early hippocampal pathology and with dysregulation of the hypothalamic-pituitary-adrenal axis stress-response system. Findings are seen to be consistent with the idea of an independent fluid cognitive construct and to assist with the interpretation of findings from the study of early compensatory education for children facing psychosocial adversity and from behavior genetic research on intelligence. It is concluded that ongoing development of neurobiologically grounded measures of fluid cognitive skills appropriate for young children will play a key role in understanding early mental development and the adaptive success to which it is related, particularly for young children facing social and economic disadvantage. Specifically, in the evaluation of the efficacy of compensatory education efforts such as Head Start and the readiness for school of children from diverse backgrounds, it is important to distinguish fluid cognition from psychometrically defined general intelligence. (Published Online April 5 2006) Key Words: cognition; cognition-emotion reciprocity; developmental disorders; emotion; fluid cognition; Flynn effect; general intelligence; limbic system; neuroscience; phenylketonuria; prefrontal cortex; psychometrics; schizophrenia. (shrink)

In today's post-pandemic reality, human capital plays one of the leading roles in ensuring economic growth. The intensification of innovative processes in the context of post-pandemic social constructivism, the widespread use of information technology, intellectualization of labor, etc. In the context of post-pandemic social constructivism, transformations of the content and structure of human capital take place, make adjustments to the process of its formation, accumulation, use and change the nature of the impact of human capital on economic development. (...) In today's post-pandemic reality, there are many problems both in the field of the formation of innovatively oriented human capital and in the sphere of its use, which necessitates the search for ways to effectively manage these processes in order to ensure the balanced development of production factors in the context of the formation of an innovative economy in the country. The article analyzes the main methods and aspects of cognitive psychology that can be useful in the development of human capital. In particular, special attention was paid to the development of emotional intelligence and emotional competence. The reason for choosing precisely such elements of cognitive psychology as the level of emotional intelligence and emotional competence is that they are a prerequisite for successful self-realization of a person and, as a result, an important prerequisite for successful management of human capital in the conditions of post-pandemic social constructivism. (shrink)

Entrepreneurship education has a lot of research on influencing factors of entrepreneurial intention but rarely studies the influence mechanism of emotional competences on entrepreneurial intention from the perspective of social entrepreneurship. This article takes college students’ social entrepreneurs as research objects, drawing on Krueger’s model, theory of planned behavior, social cognitive theory, and triadic reciprocal determinism theory. This paper constructs a conceptual model with emotional ability, entrepreneurial self-efficacy, and entrepreneurial intention, to further study their relationship. The (...) 312 students from China College Students’ Social Entrepreneurship Project engaged in early entrepreneurship practice, conducted a questionnaire survey and used the empirical test of the structural equation model to analyze the relationship between college students’ emotional competences, entrepreneurial self-efficacy, and entrepreneurial intention. The result show: First, social–emotional competence had a positive effect on entrepreneurial intention, and the positive effect of personal affective competence on entrepreneurial intention was not supported or only partially supported. Second, all the dimensions of entrepreneurial self-efficacy were significantly and positively correlated with entrepreneurial intention. Third, emotional competence has a significant positive impact on entrepreneurial self-efficacy. Fourth, entrepreneurial self-efficacy mediated the relationship between emotional competence and entrepreneurial intention. (shrink)

Teachers’ social-emotional competence is considered important to master the social and emotional challenges inherent in their profession and to build positive teacher-student relationships. In turn, this is key to both teachers’ occupational well-being and positive student development. Nonetheless, an instrument assessing the profession-specific knowledge and skills that teachers need to master the social and emotional demands in the classroom is still lacking. Therefore, we developed the Test of Regulation in and Understanding of Social Situations in Teaching (...) (TRUST), which is a theory-based situational judgment test measuring teachers’ knowledge about strategies for emotion regulation and relationship management in emotionally and socially challenging situations with students. Results from three studies (N = 166 in-service teachers, N = 73 in-service teachers, N = 107 pre-service teachers) showed satisfactory internal consistency for both the emotion regulation and relationship management subtests. Furthermore, confirmatory factor analyses supported the differentiation between the two facets of social-emotional competence. Regarding convergent validity, results from Study 3 revealed a positive association between the profession-specific TRUST and pre-service teachers’ general emotional intelligence. Furthermore, small to moderate correlations with the Big Five personality traits provided evidence for the discriminant validity of TRUST. In Studies 1 and 2, we found evidence for a correlation with external criteria, that is, teachers with higher test scores reported providing more emotional support for students and having better teacher-student relationships. For teachers’ occupational well-being, we found a link with symptoms of depersonalization and job satisfaction, but none for emotional exhaustion. We will discuss the use of TRUST in research, for the evaluation of interventions, in teacher education, and professional development and will illustrate ideas for enhancing the tool. (shrink)

This chapter contains section titled: Human Adaptations to the Water: An Exercise in Imagination Life in the ocean: the importance of other people Dolphin Intelligence in the Wild Dolphin Communication Social Intelligence and Group Cohesion Dolphins and Sex The Cognitive and Affective Skills Involved in Group Living Conclusion: Dolphin Intelligence.

This article suggests a way to circumvent some of the problems that follow from the lack of consensus on a definition of emotion (Izard, 2010; Kleinginna & Kleinginna, 1981) and emotion regulation (Cole, Martin, & Dennis, 2004) by adopting a conceptual framework based on discrete emotions theory and focusing on specific emotions. Discrete emotions theories assume that neural, affective, and cognitive processes differ across specific emotions and that each emotion has particular motivational and regulatory functions. Thus, efforts at regulation (...) should target the specific dysregulated emotions. The positive effects of emotion regulation are more likely to be optimized when they result from or lead to emotion utilization—the constructive use of the energy of emotion arousal. Effective processes for regulation differ for basic emotions and emotion schemas. This article identifies neural systems that facilitate emotion experiences and emotion regulation processes. It considers the implications of the developmental change from basic emotions to emotion schemas, and also briefly discusses the effects of interventions on changes in emotion knowledge, emotion regulation, and social and emotional competence. (shrink)

IntroductionThe relations of motor skills to different developmental domains, i.e., cognitive, emotional, and social domain, are well-documented in research on children with poor motor competence and children with disabilities. Less conclusive evidence on interaction of motor and social or emotional development can be seen in research on typically developing children. The purpose of this study was to determine a correlation between motor skills and social-emotional functioning in typically developing preschool children and to identify differences in (...) class='Hi'>social-emotional functioning in children with different levels of motor competence.MethodsA total of 125 preschool children participated in this study. To assess children’s motor skills, we used the Test of Gross Motor Development–Second Edition that measures locomotor and object-control skills. To screen child’s social and emotional functioning, we used the Ages and Stages Questionnaire–Social Emotional: Second Edition. Spearman’s correlation analysis was used to determine association between motor skills and social-emotional functioning. Difference in social-emotional functioning between groups of preschool children with High and Low motor competences was calculated using Mann-Whitney U-test.ResultsThe main result of this study is weak correlation of child’s motor skills to social-emotional functioning. Furthermore, preschool children with High and Low motor competences do not differ in risk for social and emotional difficulties.ConclusionFurther research on typically developing children is needed to have more conclusive evidence on interaction of motor and social or emotional development. (shrink)

Critical aspects in the field of education are currently related to low levels of socioemotional competences and high rates of school dropouts. However, there are no standard practices or guidelines for helping countries to assess and train social and emotional competences. To overcome this limitation, the project Learning to be (L2B) aims to propose a comprehensive model of the assessment and development of social and emotional competences that bring together policymakers, researchers, teachers, school authorities and learners from different (...) participating countries: Finland, Italy, Latvia, Lithuania, Portugal, Slovenia, and Spain. The project attempts to create an international framework for regulating activities and supporting teachers working on the social and emotional competences of the students and to provide tools which can be used across countries. The aim of the paper is to describe how L2B has been developed in Spain by analyzing the contributions of the international framework and extracting the specific needs in the Spanish context. Specifically, we describe two products of the project: a) the process for creating a toolkit, a tool focused on creating activities and materials for helping teachers develop social and emotional competences of students and b) the results of an exploratory study in Spain in which social and emotional competences are assessed and compared to the international framework. First, we explain the definition of social and emotional competences used for creating the toolkit. Second, we analyze responses of Spanish students to questionnaires administered before applying the toolkit in the schools. The paper describes social and emotional competences in Spain and evaluates the overlap between relevant variables in Spain and those used for developing the toolkit, the international tool. Specific needs in Spain are discussed, as well as the contribution of the project for promoting the improved development of students’ social and emotional competences, improving learning outcomes and stronger social cohesion in schools and local communities, as well as the utility of the results for creating new educational policies. (shrink)

Carpendale & Lewis's (C&L's) interesting and insightful article did not integrate several potentially useful notions from emotion theory and research into their explanatory framework. I propose that emotions are indigenous elements of mind and that children's understanding of them is fundamental to their understanding of the mental life of self and others, understandings critical to the development of social and emotional competence.

This book offers a widely interdisciplinary approach to investigating important questions surrounding the cognitive foundations of group attitudes and social interaction. The volume tackles issues such as the relationship between individual and group attitudes, the cognitive bases of group identity and group identification and the link between emotions and individual attitudes. This volume delves into the links between individual attitudes and how they are reflected in shared attitudes where common belief, collective acceptance, joint intentions, and group preferences (...) come into play. It pursues answers to the connections between trust and beliefs, goals and intentions and attempts to investigate questions such as: does trust have an affective component and how it may relate to hope and fear? The volume also scrutinizes game theory and questions whether it can satisfactorily explain and model social interaction and if there may be any concepts which are not addressed by the current theory. Contributors are derived from disciplines including philosophy, economics, psychology, logic and computer science. Interdisciplinary in scope and comprehensive detail, this volume integrates a variety of approaches – philosophical, psychological and artificial intelligence – to strategic, normative and emotional aspects of social interaction. (shrink)

Gardner’s theory of multiple intelligences has been further developed to focus on the research of human cognitive activities. Thus, the concept of emotional intelligence, which is the topic of the current paper, was introduced by John D. Mayer, Peter Salovey and ‎Daniel Goleman. General intelligence can be defined as the capacity to carry out abstract reasoning to understand meanings, to recognize the similarities and differences between two concepts and to make generalizations. Emotional intelligence is not a (...) part of general intelligence. Emotional intelligence can be defined as an ability of a human to perceive oneself and interact with others with the help of obtained and processed emotional information. Language acquisition is mediated by the necessity to communicate with others. Consequently, the ability to manage the process of communication is of utmost importance in learning a language. Virtual learning environment reduces dramatically the immediate interaction of the participants of the process of education. It undoubtedly affects the process of acquisition and demands to reconsider the distribution of different learning activities. (shrink)

How educators and students process and respond to emotions can either enhance or impede the development of the whole child. Social and emotional learning refers to the processes of developing social and emotional competencies, which depend on individuals’ capacity to recognize, understand, and manage emotions. Consensus across disciplines about the importance of EI highlights the need to advance the science of how to teach SEL. RULER, an evidence-based approach to teaching EI, provides an educational framework that encompasses (...) a set of practices for comprehensive SEL integration across a school or district. In this article, we describe RULER, explain how it teaches EI, and summarize evidence of its effectiveness. (shrink)

This article synthesizes the current theoretical attempts to understand human-machine interactions and introduces seven premises to understand our emerging dynamics with increasingly competent, pervasive, and instantly accessible algorithms. The hope that these seven premises can build toward a social theory of human-AI cocreation. The focus on human-AI cocreation is intended to emphasize two factors. First, is the fact that our machine learning systems are socialized. Second, is the coevolving nature of human mind and AI systems as smart devices form (...) an indispensable part of our cognitive scaffolds, thus, shaping how we perceive the world and ourselves. The seven premises include: primacy of social structures; human’s desire for freedom and autonomy; AI systems will form inseparable parts of our cognitive/affective scaffolds and can change our self-understanding; philosophy and humanistic foundations on human flourishing as a guide to human-AI interaction; mindsponge information-filtering process; acculturative process of how values change and emerge from human-AI interaction; overlapping Venn diagram of the human-human, human-nature, and human-machine interactions. This article concludes with a discussion on human agency in our entanglements with socialized machines and the illusoriness of the Cartesian agent view of the mind. (shrink)

The Internet provides access to a global space of information assets and computational services. It also, however, serves as a platform for social interaction (e.g., Facebook) and participatory involvement in all manner of online tasks and activities (e.g., Wikipedia). There is a sense, therefore, that the Internet yields an unprecedented form of access to the human social environment: it provides insight into the dynamics of human behavior (both individual and collective), and it additionally provides access to the digital (...) products of human cognitive labor (again, both individual and collective). Such access is interesting from the standpoint of research into machine intelligence, for the human social environment looks to be of crucial importance when it comes to the evolutionary and developmental origins of the human mind. In the present paper, we develop a theoretical account that sees the Internet as providing opportunities for online systems to function as socially-situated agents. The result is a vision of machine intelligence in which advanced forms of cognitive competence are seen to arise from the creation of a new kind of digital socio-ecological niche. The present paper attempts to detail this vision with respect to the notion of socially-scaffolded cognition. It also describes some of the forms of machine learning that may be required to enable online systems to press maximal cognitive benefit from their new-found informational contact with the human social world. (shrink)

Some have claimed that since machines lack emotional “qualia”, or conscious experiences of emotion, machine intelligence will fall short of human intelligence. I examine this objection, ultimately finding it unpersuasive. I first discuss recent work on emotion that suggests that emotion plays various roles in cognition. I then raise the following question: are phenomenal experiences of emotion an essential or necessary component of the performance of these cognitive abilities? I then sharpen the question by distinguishing between four (...) possible positions one might take. I reject one of these four positions largely on empirical grounds. But the remaining three positions all suggest that even if emotional qualia play an important role in human cognition, emotional qualia are not essential to the performance of these cognitive abilities in principle, so, e.g., a machine that lacks emotional qualia might still be able to perform them. (shrink)

Previous studies using the dot-perspective task postulated that people automatically take into account others' perspective even when it prevents them from achieving their own goals. This human ability may be of key importance for the ascription of mental states and social interactions. The cognitive and emotional determinants of automatic perspective taking is still matter of debate. To address this issue, we examined the performance in the Samson et al. APT task in 91 healthy adults who underwent a detailed (...) neuropsychological testing including assessment of their general intelligence, attention and impulsivity, alexithymia, and measures of affective empathy and explicit theory of mind. Univariate and multiple linear regression models were used to explore the association between mean reaction times in the APT task, and the CPT-II parameters, WAIS global score, TAS, and GeSoCS and mini-SEA scores. Only the CPT-II parameters were significantly associated with the mean reaction times. Increased omissions, commissions, and detectability as well as hit reaction time standard error in CPT-II were all related to worse performances both in Self and Other conditions. The mean number of errors was negatively associated with the GeSoCS score. Among the variables studied, only CPT-II parameters had a significant impact on egocentric and altercentric interference. Neither global intelligence nor alexithymia have an effect on dot-perspective task performance. The present findings suggest that people with lower attentional resources and increased impulsivity display worse performances in the APT task and are less responsive to both egocentric and altercentric interference. (shrink)

Understanding social cognition referring to narratives without relying on mindreading skills has been the main aim of the Narrative Practice Hypothesis proposed by Daniel Hutto and Shaun Gallagher. In this paper, I offer a semiotic reformulation of the NPH, expanding the notion of narrative beyond its conventional common-sense understanding and claiming that the kind of social cognition that operates in implicit false belief task competency is developed out of the narrative logic of interaction. I will try to show (...) how experience is shaped through meaning by the structure of narrativity and the way this can account for how narrative competencies do not just depend on language acquisition, but permeate the interactive competencies of pre-linguistic children and some social non-human animals. Developing during primary and secondary intersubjectivity and rooted in the semiotic ability to deceive and manipulate others, semiotic narrativity is the key bridge that leads us to mind and beliefs starting from basic perceptions, emotions and embodied enactive interactions. I will test my Narrative Practice Semiotic Hypothesis on Autism spectrum disorders, where social cognition skills don’t work properly, connecting NPSH to the Social Motivation Theory of Autism. I will finally answer some criticisms towards the original NPH, connecting its semiotic reformulation to early mindreading in infants and to some very recent experiments by Krupeneye et al. and Buttelmann et al. about false beliefs understanding in primates. (shrink)

Research suggests that attitudes guide individuals’ thinking and actions. In this study, we explore the monetary intelligence construct and investigate the relationships between a formative model of money attitudes involving affective, behavioral, and cognitive components and several sets of outcome variables—unethical intentions, intrinsic and extrinsic job satisfaction, and coping strategies. Based on 515 managers in the Republic of Macedonia, we test our model for the whole sample and also cross sector and gender. Managers’ negative stewardship behavior and positive (...) cognitive meaning of money define MI which, in turn, is related to unethical intentions. Positive cognition in the public sector and poor stewardship behavior in the private sector contribute to unethical intentions, respectively. Good stewards have higher intrinsic and lower extrinsic job satisfaction, those in the private sector, in particular. Affective motive and stewardship behavior are related to their stronger “approach” coping strategies and weaker “avoidance” coping strategies. Affective motive and stewardship behavior contribute to coping responses for managers in the public and private sectors, respectively. Further, the relationship between stewardship behavior and coping mechanisms exists for females, but not for males. We demonstrate that MI, a type of social intelligence, allows individuals to monitor their own emotions, behaviors, and cognitions and guides their thinking and actions. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Touching TestAI and the Future of Human IntimacyMartha J. Reineke (bio)Each Friday, the New York Times publishes Love Letters, a compendium of articles on courtship. A recent story featured Melinda, a real estate agent, and Calvin, a human resources director.1 They had met at a market deli counter. On their first date, a lasagna dinner at Melinda's home, Calvin posed the question, "What are you looking for in (...) a man?" To his surprise, Melinda reached into her pocket and pulled out a two-page list, "Melinda's Husband Traits." Her 46-item list begins with "Christian, honor God, put Him first" and includes as entry number 37, "He likes to be touched and likes to touch me." Notwithstanding laudable features of Melinda's inventory, if David Levy, President of the International Computer Games Association and an expert on artificial intelligence (AI), is correct in his predictions, in the years ahead, women like Melinda who know exactly what they are looking for in a husband will desire something radically new: a robot. After all, artificial agents will soon possess or improve on every quality the romantically inclined previously have sought in a human partner. [End Page 123]Levi predicts robots will be preferred romantic partners by the middle of this century.2 Capable of providing erotic satisfaction and creating deep emotional bonds with human partners, these robots will be an achievable outcome of AI engineering that already has brought to market industrial and service robots, virtual pets, and caregiver robots for the elderly. Levi offers a research-based inventory of traits a robot will offer its human partner: kindness and understanding, a sense of humor, expressiveness, intelligence, and sociability.3 He pinpoints additional features that will facilitate romance: The ideal robot partner will elicit erotic attraction, give evidence of readiness for a serious relationship with its verbal assertions, and possess a capacity for mutual intimacy.4 Levi's argument is intentionally provocative, for he emphasizes the centrality of sex to future robot/human pairings, waxing rhapsodic about the performative superiority of robots to humans in the sexual act.5Elaborating on potential human love relationships with robots, Levi asserts that a robot will need to master imitation if a human is to want it as a romantic partner. Not only is imitation a central aspect of every human-to-human relationship, but also imitation has been identified by researchers as a crucial element in romantic desire.6 Levi states that human-to-human attraction is founded on similarities between prospective partners in appearance, personality, and social context. It is sustained only through what Levi calls "reciprocal liking."7 For romantic relationships between humans and robots to flourish, they too must engage in acts of reciprocal imitation.In highlighting the necessity of imitation in effective robot and human interactions, Levi draws close to René Girard's theory of "mimetic desire." According to Girard, imitation structures all "wanting,"8 delineating what we aspire to look like or hope to possess and determining what we value, take comfort in, or experience as a threat. Indeed, the individual is never the origin point of its desires. Each of us always desires mimetically—according to the desire of the other.9 As Scott Garrels confirms in Mimesis and Science, researchers studying imitation in developmental, comparative, and social psychology, as well as in neurophysiology and cognitive neuroscience, support Girard's claims: Imitation is fundamental in human life.10 Likewise, Girard concurs with Levi that romantic relationships are primary examples of imitative desire. As described by Girard in Deceit, Desire, and the Novel, imitative behaviors form the romantic triangles that feature prominently in fiction: for example, Odette and the many men enchanted by her in Proust's In Search of Lost Time; Anselmo, Lotario, and Camilla in Don Quixote; and Velchaninov and Troussotzki, along with Troussotzki's deceased wife and prospective fiancée, in Dostoyevsky's The Eternal Husband.11 [End Page 124]Notwithstanding similarities in Levi and Girard's views of imitation, they differ in a crucial respect. Only Girard acknowledges just how extraordinarily fraught mimesis can become. When imitators compete (e.g., for things, status, and experiences), they will contest... (shrink)

Social-emotional competences are critical for positive development and significantly predict educational and occupational attainment, health, and well-being. There is however a lack of consensus about the number of core competences, and how these are defined and operationalized. This divergence in approach challenges future research as well as the scientific usefulness of the construct. In an effort to create an integrative framework, this focused review evaluates different approaches of conceptualizing and assessing social-emotional competences. Building on shared conceptions, an integrative (...) taxonomy “DOMASEC” is introduced, specifying core domains and manifestations of social-emotional competences that bridge across frameworks focusing on social and emotional learning, personality traits and self-determination theory. Core domains include intrapersonal, interpersonal and task-oriented competencies, differentiating between affective, cognitive, and behavioral manifestations of competences across these domains. It is argued that the integrative taxonomy facilitates the conceptual specification of key constructs, that it helps to better organize the multitude of terms and definitions used, and to guide the conceptualization and operationalization of social-emotional competences and their various facets. (shrink)

Recent research indicates that angry facial expressions are preferentially processed and may facilitate automatic avoidance response, especially in socially anxious individuals. However, few studies have examined whether this bias also expresses itself in more complex cognitive processes and behavior such as decision making. We recently introduced a variation of the Iowa Gambling Task which allowed us to document the influence of task-irrelevant emotional cues on rational decision making. The present study used a modified gambling task to investigate the impact (...) of angry facial expressions on decision making in 38 individuals with a wide range of social anxiety. Participants were to find out which choices were (dis-) advantageous to maximize overall gain. To create a decision conflict between approach of reward and avoidance of fear-relevant angry faces, advantageous choices were associated with angry facial expressions, whereas disadvantageous choices were associated with happy facial expressions. Results indicated that higher social avoidance predicted less advantageous decisions in the beginning of the task, i.e., when contingencies were still uncertain. Interactions with specific skin conductance responses further clarified that this initial avoidance only occurred in combination with elevated responses before choosing an angry facial expressions. In addition, an interaction between high trait anxiety and elevated responses to early losses predicted faster learning of an advantageous strategy. These effects were independent of intelligence, general risky decision-making, self-reported state anxiety, and depression. Thus, socially avoidant individuals who respond emotionally to angry facial expressions are more likely to show avoidance of these faces under uncertainty. This novel laboratory paradigm may be an appropriate analog for central features of social anxiety. (shrink)

This book consists of an edited collection of original essays of the highest academic quality by seasoned experts in their fields of cognitive science. The essays are interdisciplinary, drawing from many of the fields known collectively as “the cognitive sciences.” Topics discussed represent a significant cross-section of the most current and interesting issues in cognitive science. Specific topics include matters regarding machine learning and cognitive architecture, the nature of cognitive content, the relationship of information to (...) cognition, the role of language and communication in cognition, the nature of embodied cognition, selective topics in visual cognition, brain connectivity, computation and simulation, social and technological issues within the cognitive sciences, and significant issues in the history of neuroscience. This book will be of interest to both professional researchers and newer students and graduate students in the fields of cognitive science—including computer science, linguistics, philosophy, psychology and neuroscience. The essays are in English and are designed to be as free as possible of technical jargon and therefore accessible to young scholars and to scholars who are new to the cognitive neurosciences. In addition to several entries by single authors, the book contains several interesting roundtables where researchers contribute answers to a central question presented to those in the focus group on one of the core areas listed above. This exciting approach provides a variety of perspectives from across disciplines on topics of current concern in the cognitive sciences. (shrink)

In this article, we argue that there is an essential difference between social intelligence and creative intelligence, and that they have their foundation in human sexuality. For sex differences, we refer to the vast psychological, neurological, and cognitive science research where problem-solving, verbal skills, logical reasoning, and other topics are dealt with. Intelligence tests suggest that, on average, neither sex has more general intelligence than the other. Though people are equals in general intelligence, (...) they are different in special forms of intelligence such as social intelligence and creative intelligence, the former dominant in women, the latter dominant in men. The dominance of creative intelligence in men needs to be explained. The focus of our research is on the strictly anthropological aspects, and consequently our explanation for this fact is based on the male-female polarity in the mating systems. Sexual dimorphism does not only regard bodily differences but implies different forms of sex life. Sex researchers distinguish between two levels of sexual intercourse: procreative sex and recreational sex, and to these we would add “creative sex.” On all three levels, there is a behavioral difference between men and women, including the subjective experience. These differences are as well attributed to culture as genetically founded in nature. Sexual reproduction is only possible if females cooperate. Their biological inheritance makes females play a decisive role in mate choice. Recreational sex for the purpose of pleasure rather than reproduction results from female extended sexual activity. Creative sex, on the contrary, is a specifically male performance of sexuality. We identify creative sex with eroticism. Eroticism evolved through the transformation of the sexual drive into a mental state of expectation and fantasizing. Hence, sex differences (that nowadays are covered up by cultural egalitarianism) continue to be the evolutionary origin of the difference between social and creative intelligence. (shrink)

To become more broadly applicable, positions on AI ethics require perspectives from non-Western regions and cultures such as China and Japan. In this paper, we propose that the addition of the concept of harmony to the discussion on ethical AI would be highly beneficial due to its centrality in East Asian cultures and its applicability to the challenge of designing AI for social good. We first present a synopsis of different definitions of harmony in multiple contexts, such as music (...) and society, which reveals that the concept is, at its core, about well-balanced relationships and appropriate actions which give rise to order, balance, and aesthetically pleasing phenomena. The mediator for these well-balanced relationships isTaktwhich is an ability to act thoughtfully and sensibly according to the specific situation and to put things into proportion and order. We propose that the central challenge of building harmonizing AI is to make intelligent systems tactful and also to design and use them tactfully. For an AI system to become tactful, it needs to be able to have an advanced sensitivity to the specific contexts which it is in and their social and ethical implications and have the capability of approximately inferring the emotional and cognitive states of people with whom it is interacting. (shrink)

Moving from a behavioral definition of intelligence, which describes it as the ability to adapt to the surrounding environment and deal effectively with new situations (Anastasi, 1986), this paper explains to what extent the performance obtained by ChatGPT in the linguistic domain can be considered as intelligent behavior and to what extent they cannot. It also explains in what sense the hypothesis of decoupling between cognitive and problem-solving abilities, proposed by Floridi (2017) and Floridi and Chiriatti (2020) should (...) be interpreted. The problem of symbolic grounding (Harnad, 1990) is then addressed to show the problematic relationship between ChatGPT and the natural environment, and thus the impossibility for it to understand the symbols it manipulates. To explain the reasons why ChatGPT does not succeed in this task, an investigation is carried out and a possible solution to the problem in the artificial domain is proposed by making a comparison with the natural ability of living beings to ground their own meanings from some basic cognitive-sensory aspects, which, it is explained, are directly related to the emergence of self-awareness in humans. Thus, the question is raised whether a possible and concrete solution to the Symbol Grounding Problem would involve in the artificial domain the development of cognitive abilities fully comparable to those of humans. Finally, I explain the difficulties that would have to be overcome before such a level could be reached, since human cognitive capacities are intimately linked to intersubjectivity and intercorporeality. (shrink)

Beginning with the view that human consciousness is essentially embodied and that the way we consciously experience the world is structured by our bodily dynamics and surroundings, the book argues that emotions are a fundamental manifestation of our embodiment, and play a crucial role in self-consciousness, moral evaluation, and social cognition.

Many argue that higher-cognitive emotions such as pride arose de novo in humans, and thus fall outside of the scope of the kinds of evolutionary explanations offered for ?basic emotions,? like fear. This approach fractures the general category of ?emotion? into two deeply distinct kinds of emotion. However, an increasing number of emotion researchers are converging on the conclusion that higher-cognitive emotions are evolutionarily rooted in simpler emotional responses found in primates. I argue that pride fits this pattern, (...) and then consider some of the possible mechanisms by which the basic forms of these emotions have been transformed, arguing that we can see this transformation in part as the progressive internalization of originally externalized processes associated with norms, selfhood, and social structure. This connects the emotion literature with the literatures on the Social/Machiavellian Intelligence Hypothesis and situated cognition, offering the possibility of a more unified theory of human emotions. (shrink)

This study tested a structural model of cognitive-emotional explanatory variables to explain performance in mathematics. The predictor variables assessed were related to students’ level of development of early mathematical competencies (EMCs), specifically, relational and numerical competencies, predisposition toward mathematics, and the level of logical intelligence in a population of primary school Chilean students (n = 634). This longitudinal study also included the academic performance of the students during a period of four years as a variable. The (...) sampled students were initially assessed by means of an Early Numeracy Test (ENT), and, subsequently, they were administered a Likert-type scale to measure their predisposition toward mathematics (EPMAT) and a basic test of logical intelligence (TILE). The results of these tests were used to analyse the interaction of all the aforementioned variables by means of a structural equations model. This combined interaction model was able to predict 64.3% of the variability of observed performance. Preschool students' performance in EMCs was a strong predictor for achievement in mathematics for students between 8 to 11 years of age. Therefore, this paper highlights the importance of EMCs and the modulating role of predisposition toward mathematics. Also, this paper discusses the educational role of these findings, as well as possible ways to improve negative predispositions toward mathematical tasks in the school domain. (shrink)

There exists a significant disparity within society between individuals in terms of intelligence. While intelligence varies naturally throughout society, the extent to which this impacts on the life opportunities it affords to each individual is greatly undervalued. Intelligence appears to have a prominent effect over a broad range of social and economic life outcomes. Many key determinants of well-being correlate highly with the results of IQ tests, and other measures of intelligence, and an IQ of (...) 75 is generally accepted as the most important threshold in modern life. The ability to enhance our cognitive capacities offers an exciting opportunity to correct disabling natural variation and inequality in intelligence. Pharmaceutical cognitive enhancers, such as modafinil and methylphenidate, have been shown to have the capacity to enhance cognition in normal, healthy individuals. Perhaps of most relevance is the presence of an ‘inverted U effect’ for most pharmaceutical cognitive enhancers, whereby the degree of enhancement increases as intelligence levels deviate further below the mean. Although enhancement, including cognitive enhancement, has been much debated recently, we argue that there are egalitarian reasons to enhance individuals with low but normal intelligence. Under egalitarianism, cognitive enhancement has the potential to reduce opportunity inequality and contribute to relative income and welfare equality in the lower, normal intelligence subgroup. Cognitive enhancement use is justifiable under prioritarianism through various means of distribution; selective access to the lower, normal intelligence subgroup, universal access, or paradoxically through access primarily to the average and above average intelligence subgroups. Similarly, an aggregate increase in social well-being is achieved through similar means of distribution under utilitarianism. In addition, the use of cognitive enhancement within the lower, normal intelligence subgroup negates, or at the very least minimises, several common objections to cognitive enhancement. Subsequently, this paper demonstrates that there is a compelling case for cognitive enhancement use in individuals with lower, normal intelligence. (shrink)

Sequential transformative design of research :224–235, 2015; Groleau et al. in J Mental Health 16:731–741, 2007; Robson and McCartan in Real world research: a resource for users of social research methods in applied settings, Wiley, Chichester, 2016) allows testing a group of theoretical assumptions about the connections of artificial intelligence with culture and education. In the course of research, semiotics ensures the description of self-organizing systems of cultural signs and symbols in terms of artificial intelligence as a (...) special set of algorithms. This approach helps to consider the arguments proposed by Searle :417–457, 1980) against ‘strong’ artificial intelligence. Searle :417–457, 1980) believes that artificial or machine intelligence cannot fully emulate the processes of the human mind. Machine intelligence shows own inevitable weakness. This is non-autonomous tool for computations and data operating. In fact, this tool cannot provide insight into real cognitive conditions. After Lotman and Uspensky, authors expand the meaning of artificial intelligence. The authors identify a cultural type of ‘strong’ artificial intelligence or ‘self-increase of Logos’ in terms by Lotman and Uspensky. The interpretation of human intelligence as imitation of machine intelligence makes possible such immersion of artificial intelligence in culture. The authors reveal a case of self-organizing autonomous generation, encoding, decoding, reception, storage, and transmission of social information in the field of physical training. From the empirical studies it is clear that the organization of collective activities without external control ensures the development of positive emotions and social orientations. Interest in autonomous behavior provides the formation of educational and cognitive motives. As a special set of algorithms, these motives are the most promising and favorable for personal development. (shrink)

Non-suicidal self-injury is a complex behaviour, routinely engaged for emotion regulatory purposes. As such, a number of theoretical accounts regarding the aetiology and maintenance of NSSI are grounded in models of emotion regulation; the role that cognition plays in the behaviour is less well known. In this paper, we summarise four models of emotion regulation that have repeatedly been related to NSSI and identify the core components across them. We then draw on social cognitive theory to unite models (...) of cognition and models of emotion in developing a new cognitive-emotional model of NSSI. Our model articulates how emotion regulation and cognition can work in concert to govern NSSI, and offers several new research questions that can be addressed within this framework. (shrink)

Over the past decades, due to the course towards digitalization of all areas of life, interest in modeling and creating intelligent systems has increased significantly. However, there are now a stagnation in the industry, a lack of attention to analog and bionic approaches as alternatives to digital, numerous speculations on “neuro” issues for commercial and other purposes, and an increase in social and environmental risks. The article provides an overview of the development of artificial intelligence (AI) conceptions toward (...) increasing the human likeness of machines: from the key ideas of A. Turing and J. von Neumann, who initiated the digitalization of society, to discussions about the definition of AI and the emergence of conceptions of strong and weak AI. Special attention is paid to the approach of A. Sloman, to ideas about the architecture and design of complex artificial systems are considered, which make it possible to “emotionally” expand the idea of weak/strong AI. In the article's section on the necessity and possibility of incorporating emotions into the architecture of AI, the authors reveal the goals and methodological limitations for creating an emotional artificial agent. In addition, the article briefly presents the main principles of the authors' architectural approach to the creation of emotional intellectual systems on the example of the cognitive-affective model of architecture, which allow modeling the impact of emotions on the cognitive processes involved in decision-making processes. The described architectural approach to modeling intelligent systems can be used as a conceptual basis for discussing and formulating a strategy for the development of neurocomputing, philosophy of artificial intelligence, and experimental philosophy, for developing innovative research programs, formulating and solving theoretical and methodological problems. (shrink)

Mentalization is a useful ability for social functioning and a crucial aspect of mentalizing is emotion regulation. Literature suggests programmes for children and adults to increase mentalizing abilities useful both for emotional and social competences. For this reason, the issue of how to prompt children’s mentalization has started to attract researchers’ attention, supporting the importance of the interpersonal dimension for the individual differences in the developmental of mentalization. The TiM (Thoughts in Mind) Project, a training programme based on (...) the explanation of mentalization mechanisms and designed for adults, deals with emotion regulation. Starting from the TiM Project, this study tests the effects of the TiM Child (TiM-C) training programme, over a control training programme, a conversational training designed for the school context, in children attending Year 2 of primary school. We designed a training based on narratives, followed by multiple-choice questions and conversations about mental states. Our results revealed significant improvements over the training period only in the TiM-C Project group for Metacognition, Emotion Regulation Strategies and a Theory of Mind task. As far as the educational implications, our findings suggest that it is possible to enhance mentalization through activities at school by promoting not only the understanding of the relations between mind and emotion, but also metacognitive skills. (shrink)

Belongingness is a central biopsychosocial system. Challenges to belongingness (i.e. exclusion/ostracism) engender robust negative effects on affect and cognitions. Whether overinclusion – getting more than one’s fair share of social attention – favourably impacts affect and cognitions remains an open question. This pre-registered meta-analysis includes twenty-two studies (N = 2757) examining overinclusion in the context of the Cyberball task. We found that the estimated overall effect size of overinclusion on positive affect was small but robust, and the effect on (...) fundamental needs cognitions (belongingness, self-esteem, meaningful existence and control) was moderate in size and positive in direction. Notably, the effect sizes of overinclusion were smaller than the corresponding effects of exclusion. Finally, the effects of overinclusion on positive affect were greater for high, as compared to low, socially anxious individuals. Exploring the sequelae of the full range of inclusion experiences – from exclusion to overinclusion – may enrich our understanding of the functioning of the belongingness system as well as its interaction with another central biosocial system – the social status system. (shrink)

The article analyzes the role of theories of embodied cognition for the development of emotion research. The role and position of emotions changed as philosophy developed. In classical and modern European philosophy, the idea of the “primacy of reason” prevailed over emotions and physicality, emotions and affective life were described as low-ranking phenomena regarding cognitive processes or were completely eliminated as an unknown quantity. In postmodern philosophy, attention focuses on physicality and sensuality, which are rated higher than rational principle, (...) mind and intelligence. Within the framework of this approach, there is a recently emerged theory of embodied cognition, which allows to take a fresh look at the place of emotions in the architecture of mental processes – thinking, perception, memory, imagination, speech. The article describes and analyzes a number of empirical studies showing the impossibility of excluding emotional processes and the significance of their research for understanding the architecture of embodied cognition. However, the features of the architecture of embodied cognition remain unclear, and some of the discoveries of recent years rather raise new questions and require further research. The rigorously described and clear architecture of the embodied cognition can grow the theoretical basis that will allow to advance the studies of learning processes, language understanding, psychotherapy techniques, social attitudes and stereotypes, highlight the riddle of consciousness and create new theories of consciousness or even create an anthropomorphic artificial intelligence that is close to “strong artificial intelligence.”. (shrink)

Although Darwin insisted that human intelligence could be fully explained by the theory of evolution, the codiscoverer of natural selection, Alfred Russel Wallace, claimed that abstract intelligence was of no use to ancestral humans and could only be explained by intelligent design. Wallace’s apparent paradox can be dissolved with two hypotheses about human cognition. One is that intelligence is an adaptation to a knowledge-using, socially interdependent lifestyle, the “cognitive niche.” This embraces the ability to overcome the (...) evolutionary fixed defenses of plants and animals by applications of reasoning, including weapons, traps, coordinated driving of game, and detoxification of plants. Such reasoning exploits intuitive theories about different aspects of the world, such as objects, forces, paths, places, states, substances, and other people’s beliefs and desires. The theory explains many zoologically unusual traits in Homo sapiens, including our complex toolkit, wide range of habitats and diets, extended childhoods and long lives, hypersociality, complex mating, division into cultures, and language (which multiplies the benefit of knowledge because know-how is useful not only for its practical benefits but as a trade good with others, enhancing the evolution.. (shrink)

I have been arguing, for almost thirty years now, that emotions have been unduly neglected in philosophy. Back in the seventies, it was an argument that attracted little sympathy. I have also been arguing that emotions are a ripe for philosophical analysis, a view that, as evidenced by the Manchester 2001 conference and a large number of excellent publications, has now become mainstream. My own analysis of emotion, first published in 1973, challenged the sharp divide between emotions and rationality, insisted (...) that we reject the established notion that the emotions are involuntary, and argued, in a brief slogan, that ‘ emotions are judgments.’ Since then, although the specific term ‘judgment’ has come under considerable fire and my voluntarist thesis continues to attract incredulousness the general approach I took to emotions has been widely accepted in both philosophy and the social sciences. When Paul Griffiths took on what he misleadingly characterized as ‘propositional attitude’ theories of emotion as the enemy of all that was true and scientifically worthy, I knew that we had made it. Such ferocious abuse is surely a sign that we had shifted, in Kuhnian terms, from being revolutionary to becoming the ‘normal’ paradigm. The current counter-revolution of affect programmes and neuro-reductionism says a lot about who we are and how far we have come. (shrink)

An introductory text on cognitive science from an interdisciplinary perspective. Containing chapters on philosophy, psychology, cognition, neuroscience, the network and evolutionary approaches. Covers theories and models of mind looking at all major information processing categories: perception, attention, language, emotions, social, and artificial intelligence.