Choice history effects describe how future choices depend on the history of past choices. In experimental tasks this is typically framed as a bias because it often diminishes the experienced reward rates. However, in natural habitats, choices made in the past constrain choices that can be made in the future. For foraging animals, the probability of earning a reward in a given patch depends on the degree to which the animals have exploited the patch in the past. One problem with many experimental tasks that show choice history effects is that such tasks artificially decouple choice history from its consequences on reward availability over time. To circumvent this, we use a variable interval (VI) reward schedule that reinstates a more natural contingency between past choices and future reward availability. By examining the behavior of optimal agents in the VI task we discover that choice history effects observed in animals serve to maximize reward harvesting efficiency. We further distil the function of choice history effects by manipulating first- and second-order statistics of the environment. We find that choice history effects primarily reflect the growth rate of the reward probability of the unchosen option, whereas reward history effects primarily reflect environmental volatility. Based on observed choice history effects in animals, we develop a reinforcement learning model that explicitly incorporates choice history over multiple time scales into the decision process, and we assess its predictive adequacy in accounting for the associated behavior. We show that this new variant, known as the double trace model, has a higher performance in predicting choice data, and shows near optimal reward harvesting efficiency in simulated environments. These results suggests that choice history effects may be adaptive for natural contingencies between consumption and reward availability. This concept lends credence to a normative account of choice history effects that extends beyond its description as a bias.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516315 | PMC |
http://dx.doi.org/10.1371/journal.pcbi.1009452 | DOI Listing |
Ann Vasc Surg
December 2024
Section of Vascular Surgery, Department of Surgery, Michigan Medicine, Ann Arbor, MI; Jobst Vascular Institute, Toledo, OH.
Objectives: The COVID-19 epidemic introduced significant systems- and disease-based uncertainty into Abdominal Aortic Aneurysm (AAA) rupture management. The goal of this work was to evaluate whether short-term AAA rupture outcomes during COVID-19 were comparable to pre-COVID era outcomes and to explore the impact of COVID status and COVID era healthcare systems restrictions on AAA rupture outcomes.
Methods: The Vascular Quality Initiative (VQI) database was queried for all ruptured AAAs that underwent intervention from January 1, 2019 to August 31, 2022.
Arch Soc Esp Oftalmol (Engl Ed)
December 2024
Departamento de Oftalmología, Hospital Universitario Virgen de la Macarena, Sevilla, Spain; Miembros de la «Red de Enfermedades Inflamatorias, Enfermedades Inflamatorias Oculares, Enfermedades Inflamatorias No Infecciosas de la Superficie Ocular, Instituto de Salud Carlos III (RICORS). FISS-21-RD21/0002/0011»; Área de Oftalmología, Departamento de Cirugía, Universidad de Sevilla, Sevilla, Spain.
Although silicone oil is used as an intraocular buffer in vitreoretinal surgical procedures, its use can cause complications, including glaucoma. This study highlights the importance of individualized approaches for the management of silicone oil-induced glaucoma. A 62-year-old man with a past medical history of retinal detachment and multiple ocular surgical procedurespresented with uncontrolled ocular pressure peaks after retinal detachment surgery using silicone oil as a buffer, which did not resolve after removal of the buffer.
View Article and Find Full Text PDFInt J Health Plann Manage
December 2024
Centre for Global Chronic Conditions, London School of Hygiene & Tropical Medicine, London, UK.
Background: Reducing inequities in hypertension control among those affected in low- and middle-income countries requires person-centred health system responses based on a contextualised understanding of the choices and care pathways taken by those who rely on the services provided, particularly those from poor and marginalised communities. We examine patterns of care seeking and pathways followed by individuals with hypertension from low-income households in the Philippines and Malaysia. This study aims to fill a significant gap in the literature by analysing the stages at which individuals make decisions that may affect the successful control of their blood pressure.
View Article and Find Full Text PDFGenet Med
December 2024
Movement Disorders Program, Department of Neurology and F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA. Electronic address:
Objectives: Biallelic HPDL variants have been identified as the cause of a progressive childhood-onset movement disorder, with a broad clinical spectrum from severe neurodevelopmental disorder to juvenile-onset pure hereditary spastic paraplegia type 83. This study aims at delineating the geno- and phenotypic spectra of patients with HPDL-related disease, quantitatively modelling the natural history, and uncovering genotype-phenotype associations.
Methods: A cross-sectional analysis of 90 published and one novel case was performed, employing a Human Phenotype Ontology-based approach.
PLoS Comput Biol
December 2024
Department of Mathematics, University of Manchester, Manchester, United Kingdom.
Understanding the temporal relationship between key events in an individual's infection history is crucial for disease control. Delay data between events, such as infection and symptom onset times, is doubly censored because the exact time at which these key events occur is generally unknown. Current mathematical models for delay distributions are derived from heuristic justifications.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!