Building on and partially refining previous theoretical work, this paper presents an extended simulation model of ancestral warfare. This model (1) disentangles attack and defense, (2) tries to differentiate more strictly between selfish and altruistic efforts during war, (3) incorporates risk aversion and deterrence, and (4) pays special attention to the role of brutality. Modeling refinements and simulation results yield a differentiated picture of possible evolutionary dynamics. The main observations are: (a) Altruism in this model is more likely to evolve for defenses than for attacks. (b) Risk aversion, deterrence, and the interplay of migration levels and brutality can change evolutionary dynamics substantially. (c) Unexpectedly, one occasional simulation outcome is a dynamically stable state of "tolerated intergroup theft," raising the question as to whether corresponding patterns also exist in real intergroup conflicts. Finally, possible implications for theories of the coevolution of bellicosity and altruism in humans are discussed.
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http://dx.doi.org/10.1007/s12110-014-9199-y | DOI Listing |
J Subst Use Addict Treat
January 2025
Rest of the World, Austin, TX, USA.
Introduction: Hispanic/Latinx (hereafter Hispanic) individuals who smoke have challenges in quitting and a disproportionate risk of smoking-related health problems when compared to the general population. The smoking inequalities among the Hispanic population are influenced by limited treatment access and chronic stress exposure (e.g.
View Article and Find Full Text PDFPhysiol Behav
January 2025
Beijing Key Laboratory of Learning and Cognition, College of Psychology, Capital Normal University, Beijing, PR China. Electronic address:
Many animal studies have explored decision-making under risk and punishment, particularly regarding potential rewards, but less focus has been placed on contexts involving net losses. Understanding decision-making under net loss conditions can shed light on the neural mechanisms involved. The basolateral amygdala to prelimbic cortex (BLA→PL) pathway is crucial for risky decision-making.
View Article and Find Full Text PDFJ Neurointerv Surg
January 2025
Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan
Background: Timely treatment within the therapeutic window is critical for patients with stroke. This study adopts a risk-averse optimization approach to maximize the likelihood of receiving treatment within this window.
Methods: We developed an optimization model using data from a citywide stroke registry (July 1, 2019 to December 31, 2020).
Hum Brain Mapp
February 2025
Department of Psychological and Brain Sciences, University of Delaware, Newark, Delaware, USA.
Converging lines of research indicate that inhibitory control is likely to be compromised in contexts that place competing demands on emotional, motivational, and cognitive systems, potentially leading to damaging impulsive behavior. The objective of this study was to identify the neural impact of three challenging contexts that typically compromise self-regulation and weaken impulse control. Participants included 66 healthy adults (M/SD = 29.
View Article and Find Full Text PDFBehav Sci (Basel)
January 2025
School of Business, Law & Entrepreneurship, Swinburne University of Technology, Melbourne, VIC 3122, Australia.
The paper aims to examine the relationships between behavioural biases (such as overconfidence and herding) and the rational behaviour of Australian female consumers when making financial decisions. In doing so, the paper showcases the financial illiteracy of Australian female consumers when confronted with irregularities within the Australian financial markets. From a theoretical standpoint, the study adopts the notions of the adaptive market hypothesis (AMH) to understand the reasoning behind the relationships between behavioural biases (such as overconfidence and herding) and the rational behaviour of Australian female consumers when making decisions rationally.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!