Local Search and the Evolution of World Models
Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
Metacognition and diagnostic decision-making: short "blips" of knowledge and the consequences of overconfidence. [PDF]
Hong SS, Son LK, Kim K.
europepmc +1 more source
Resisting Hubris: For A Stoic Ethics of Power in Leadership Development
ABSTRACT This essay advances a philosophical and Stoic reinterpretation of hubris that challenges the reductionist treatment it has received in contemporary management research. Whereas most studies, shaped by a positivist epistemology, have sought to quantify the effects of leader hubris on performance, this essay reclaims the concept's original ...
Valérie Petit, Xavier Pavie
wiley +1 more source
The Bold Surgeon Syndrome: Contemporary Analysis of Overconfidence, Training Gaps, and Patient Safety in Plastic Surgery. [PDF]
Cárdenas-Camarena L +4 more
europepmc +1 more source
ABSTRACT A common assumption is that firms become more socially responsible over time. Indeed, numerous conceptual papers focus on the issue of describing the CSR states that firms advance through. Yet, related empirical research remains limited and the assumption of steady progression across CSR states remains untested.
Christopher Groening +1 more
wiley +1 more source
Cognitive biases in shoulder surgery decision-making: a narrative review of hidden influences and mitigation strategies. [PDF]
Fernainy C, Frederickson M, Menendez ME.
europepmc +1 more source
Abstract Scientific publications on AI education frequently express concerns that students at all educational levels, lacking sufficient AI literacy, may become passive learners due to the use of generative language models and blindly trust AI outputs.
Matthias Carl Laupichler +3 more
wiley +1 more source
Beyond Mankind, Self-Illusion and Medical Expertise of Artificial Intelligence in the Era of COVID-19. [PDF]
Claessens A +3 more
europepmc +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
Behaviorally informed deep reinforcement learning for portfolio optimization with loss aversion and overconfidence. [PDF]
Charkhestani A, Esfahanipour A.
europepmc +1 more source

