Human ecological success relies on our characteristic ability to flexibly self-organize into cooperative social groups, the most successful of which employ substantial specialization and division of labour. Unlike most other animals, humans learn by trial and error during their lives what role to take on. However, when some critical roles are more attractive than others, and individuals are self-interested, then there is a social dilemma: each individual would prefer others take on the critical but unremunerative roles so they may remain free to take one that pays better. But disaster occurs if all act thus and a critical role goes unfilled. In such situations learning an optimum role distribution may not be possible. Consequently, a fundamental question is: how can division of labour emerge in groups of self-interested lifetime-learning individuals? Here, we show that by introducing a model of social norms, which we regard as emergent patterns of decentralized social sanctioning, it becomes possible for groups of self-interested individuals to learn a productive division of labour involving all critical roles. Such social norms work by redistributing rewards within the population to disincentivize antisocial roles while incentivizing prosocial roles that do not intrinsically pay as well as others.
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http://dx.doi.org/10.1098/rspb.2023.1716 | DOI Listing |
J Diabetes Sci Technol
December 2024
Clinical Diabetes, Appetite and Metabolism Laboratory, Garvan Institute of Medical Research, Sydney, NSW, Australia.
Introduction: Two phase 3 randomized controlled studies (ADJUNCT ONE (Clinicaltrials.gov: NCT01836523), ADJUNCT TWO (Clinicaltrials.gov: NCT02098395)) evaluated liraglutide (1.
View Article and Find Full Text PDFJ Biomol Struct Dyn
December 2024
Laboratory of Drug Design and Discovery, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India.
Selective inhibition of histone deacetylase 8 (HDAC8) has emerged as a promising approach for treating various diseases, including cancer. However, finding key structural features for HDAC8 inhibition and developing effective and selective HDAC8 inhibitors (HDAC8s) pose significant challenges. In the past few years, the development of various scaffolds for inhibiting HDAC8 has significantly risen and the quest continues.
View Article and Find Full Text PDFJ Med Virol
December 2024
Division of Microbiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Miyagi, Japan.
Placental trophoblasts constitute the interface between the fetal and maternal environments and physically prevent maternal-fetal viral transmission. However, congenital human cytomegalovirus (HCMV) infection in the early stages of pregnancy results in severe symptoms in the fetus. HCMV is the most common causative agent of intrauterine infection.
View Article and Find Full Text PDFAnn Surg
December 2024
Department of Urology, University of Michigan, Ann Arbor, MI.
Objective: To assess the burden of ergonomic strain and to examine factors influencing intention to use wearable technology that may improve ergonomics during surgery.
Background: Surgical ergonomic strain leads to high rates of work-related musculoskeletal disorders (MSDs) and pain, contributing to early surgeon retirement and an epidemic of burnout.
Methods: A cross-sectional survey of surgeons at a single institution was conducted using two validated instruments, the Nordic Musculoskeletal Questionnaire and Unified Theory of Acceptance and Use of Technology (UTAUT2), assessing musculoskeletal strain and facilitators of wearable sensor use, respectively.
IJID Reg
March 2025
Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Shinjuku-ku, Japan.
Objectives: We examined shifts in labor productivity and their economic ramifications among adult patients with long COVID in Japan.
Methods: A total of 396 patients were categorized into three groups based on symptom progression: non-long COVID, long COVID recovered, and long COVID persistent. Patient-reported outcomes were assessed at three time intervals: 3, 6, and 12 months after COVID-19 diagnosis.
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