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Mis- and disinformation in a bounded confidence model

Igor Douven & Rainer Hegselmann

Artificial Intelligence 291 (C):103415 (2021)

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No-Regret Learning Supports Voters’ Competence.Petr Spelda, Vit Stritecky & John Symons - 2024 - Social Epistemology 38 (5):543-559.details Procedural justifications of democracy emphasize inclusiveness and respect and by doing so come into conflict with instrumental justifications that depend on voters’ competence. This conflict raises questions about jury theorems and makes their standing in democratic theory contested. We show that a type of no-regret learning called meta-induction can help to satisfy the competence assumption without excluding voters or diverse opinion leaders on an a priori basis. Meta-induction assigns weights to opinion leaders based on their past predictive performance to determine (...) Download Export citation Bookmark
When nomenclature matters: Is the “new paradigm” really a new paradigm for the psychology of reasoning?Markus Knauff & Lupita Estefania Gazzo Castañeda - 2023 - Thinking and Reasoning 29 (3):341-370.details For most of its history, the psychology of reasoning was dominated by binary extensional logic. The so-called “new paradigm” instead puts subjective degrees of belief center stage, often represented as probabilities. We argue that the “new paradigm” is too vaguely defined and therefore does not allow a clear decision about what falls within its scope and what does not. We also show that there was not one settled theoretical “old” paradigm, before the new developments emerged, and that the alleged new (...) Download Export citation Bookmark 1 citation
Pandemics and flexible lockdowns: In praise of agent-based modeling.Igor Douven - 2023 - European Journal for Philosophy of Science 13 (3):1-27.details Philosophers have recently questioned the methodological status of agent-based modeling. Meanwhile, this methodology has been central to various studies of the COVID-19 pandemic. Few agent-based COVID-19 models are accessible to philosophers for inspection or experimentation. We make available a package for modeling the COVID-19 pandemic and similar pandemics and give an impression of what can be achieved with it. In particular, it is shown that by coupling an agent-based model to a standard optimizer we are able to identify strategies for (...) Download Export citation Bookmark
Network effects in a bounded confidence model.Igor Douven & Rainer Hegselmann - 2022 - Studies in History and Philosophy of Science Part A 94 (C):56-71.details The bounded confidence model has become a popular tool for studying communities of epistemically interacting agents. The model makes the idealizing assumption that all agents always have access to all other agents’ belief states. We draw on resources from network epistemology to do away with this assumption. In the model to be proposed, we impose an explicit communication network on a community, due to which each agent has access to the beliefs of only a selection of other agents. A much-discussed (...) Download Export citation Bookmark 4 citations

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