Fibromyalgia impact and depressive symptoms: Can perceiving a silver lining make a difference?

Individuals with fibromyalgia are at greater risk for depressive symptoms than the general population, and this may be partially attributable to physical symptoms that impair day-to-day functioning. However, individual-level protective characteristics may buffer risk for psychopathology. For instance, the ability to perceive a “silver lining” in one’s illness may be related to better mental and physical health. We examined perceived silver lining as a potential moderator of the relation between fibromyalgia impact and depressive symptoms. Our sample of persons with fibromyalgia (N = 401) completed self-report measures including the Fibromyalgia Impact Questionnaire-Revised, Depression Anxiety Stress Scales, and the Silver Lining Questionnaire. Moderation analyses covaried age, sex, and ethnicity. Supporting hypotheses, increasing impact of disease was related to greater depressive symptoms, and perceptions of a silver lining attenuated that association. Despite the linkage between impairment and depressive symptoms, identifying positive aspects or outcomes of illness may reduce risk for psychopathology. Therapeutically promoting perception of a silver lining, perhaps via signature strengths exercises or a blessings journal, and encouraging cognitive reframing of the illness experience, perhaps via Motivational Interviewing or Cognitive Behavioral Therapy, may reduce depressive symptoms in persons with fibromyalgia.     

Bullying bystander behaviors: The role of coping effectiveness and the moderating effect of gender

Researchers have suggested that bystander behaviors and victim coping play an important role in counteracting the negative effects of bullying. The current study investigated the relationship between students’ ratings of coping effectiveness when addressing bullying and their behaviors as bystanders when witnessing bullying. Surveys were administered in a Midwestern, suburban school district. Some associations between perceptions of coping effectiveness and bystander behavior supported our hypotheses (e.g., constructive coping associated with defending bystander behaviors, externalizing associated with pro-bullying behaviors). However, some findings did not support hypothesized relationships. For example, higher ratings of effectiveness for cognitive distancing as a coping strategy were associated with increased defending behaviors as a bystander. Gender moderated some of these relationships. Pro-bullying bystander behavior was associated with increased ratings of cognitive distancing and decreased reports of constructive coping effectiveness for girls. Implications for future research and practice are discussed.     

Excessive use of reminders: Metacognition and effort-minimisation in cognitive offloading

People often use external reminders to help remember delayed intentions. This is a form of “cognitive offloading”. Individuals sometimes offload more often than would be optimal (Gilbert et al., 2020). This bias has been linked to participants’ erroneous metacognitive underconfidence in their memory abilities. However, underconfidence is unlikely to fully explain the bias. An additional, previously-untested factor that may contribute to the offloading bias is a preference to avoid cognitive effort associated with remembering internally. The present Registered Report examined evidence for this hypothesis. One group of participants received payment contingent on their performance of the task (hypothesised to increase cognitive effort, and therefore reduce the bias towards offloading); another group received a flat payment for taking part, as in the earlier experiment. The offloading bias was significantly reduced (but not eliminated) in the rewarded group, suggesting that a preference to avoid cognitive effort influences cognitive offloading.     

Discrepancy in internalized values of workers in extreme situations: Consequences for soldiers and risk for the organization

IntroductionIn the present paper, we address the double-edged role of values among Army personnel and how they can be used in information warfare. We suggest that value discrepancy may impact the agent's trust and consequently, affect behaviour and ultimately destabilize the organization.ObjectivesBased on cognitive dissonance theory and the meaning maintenance model, we hypothesized that exposing trained soldiers to information which confronts their core values and involves both their peers and their institution could promote an overwhelming reaction that could finally alter their trust in the organization.MethodTo examine the proposed model, interviews were conducted with 38 active-duty soldiers that permits to stress the importance of values for their personal life. To complete the interviews, a staged observation was led with the second set of participants (n = 21). Its goal was to evaluate the soldiers’ reaction to a message aiming at their values.ResultsQualitative and quantitative analysis of the Interviews confirmed both the importance of the said values and stressed the ambivalence toward their institution. The results of the staged observation suggested that a low credibility source of information aiming at their central values could lead to a direct emotional reaction, that could potentially lead to a decrease in institutional trust, and therefore ultimately in the organisation performance.ConclusionThe discussion focuses on the consequences of this mechanism, the fundamental necessity for the organization of taking this process into account. Finally, we suggest ways to cope with this risk which can alter strategy deployment and goal achievement.     

Toward ethical cognitive architectures for the development of artificial moral agents

New technologies based on artificial agents promise to change the next generation of autonomous systems and therefore our interaction with them. Systems based on artificial agents such as self-driving cars and social robots are examples of this technology that is seeking to improve the quality of people’s life. Cognitive architectures aim to create some of the most challenging artificial agents commonly known as bio-inspired cognitive agents. This type of artificial agent seeks to embody human-like intelligence in order to operate and solve problems in the real world as humans do. Moreover, some cognitive architectures such as Soar, LIDA, ACT-R, and iCub try to be fundamental architectures for the Artificial General Intelligence model of human cognition. Therefore, researchers in the machine ethics field face ethical questions related to what mechanisms an artificial agent must have for making moral decisions in order to ensure that their actions are always ethically right. This paper aims to identify some challenges that researchers need to solve in order to create ethical cognitive architectures. These cognitive architectures are characterized by the capacity to endow artificial agents with appropriate mechanisms to exhibit explicit ethical behavior. Additionally, we offer some reasons to develop ethical cognitive architectures. We hope that this study can be useful to guide future research on ethical cognitive architectures.     

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.     

The TROCA Project: An autonomous transportation robot controlled by a cognitive architecture

Autonomous mobile robots emerged as an important kind of transportation system in warehouses and factories. In this work, we present the use of MECA cognitive architecture in the development of an artificial mind for an autonomous robot responsible for multiple tasks, including transportation of packages along a factory floor, environment exploration, warehouse inventory, its internal energy management, self-monitoring and dealing with human operators and other robots. The present text provides a detailed specification for the architecture and its software implementation. Future work will present the simulation results under different configurations, together with a detailed analysis of the architecture performance and its generalization for autonomous robot control.     

Representing decision-makers using styles of behavior: An approach designed for group decision support systems

Supporting decision-making processes when the elements of a group are geographically dispersed and on a tight schedule is a complex task. Aiming to support decision-makers anytime and anywhere, Web-based group decision support systems have been studied. However, the limitations in the decision-makers’ interactions associated to this scenario bring new challenges. In this work, we propose a set of behavioral styles from which decision-makers’ intentions can be modelled into agents. The goal is that, besides having agents represent typical preferences of the decision-makers (towards alternatives and criteria), they can also represent their intentions. To do so, we conducted a survey with 64 participants in order to find homogeneous operating values so as to numerically define the proposed behavioral styles in four dimensions. In addition, we also propose a communication model that simulates the dialogues made by decision-makers in face-to-face meetings. We developed a prototype to simulate decision scenarios and found that agents are capable of acting according to the decision-makers’ intentions and fundamentally benefit from different possible behavioral styles, just as a face-to-face meeting benefits from the heterogeneity of its participants.