Arguments, cognition, and science: consequences of probabilistic induction in science (2020)
- Autor:
- Autor USP: MARTINS, ANDRE CAVALCANTI ROCHA - EACH
- Unidade: EACH
- Subjects: SISTEMAS DINÂMICOS; EPISTEMOLOGIA; EMPIRISMO; PENSAMENTO CRÍTICO
- Language: Inglês
- Abstract: Our reasoning evolved not for finding the truth, but for social bonding and convincing. The best logical methods humans have created provide no path to truth, unless something is assumed as true from the start. Other than that, we only have methods for attempting to measure uncertainty. This book highlights the consequences of these facts for scientific practice, and suggests how to correct the mistakes we still make. But even our best methods to measure uncertainty might require infinite resources to provide solid answers. This conclusion has important consequences for when and how much we can trust arguments and scientific results. The author suggests ways we can improve our current practices, and argues that theoretical work is a fundamental part of the most effective way to do science
- Imprenta:
- Publisher: Rowman & Littlefield International
- Publisher place: London
- Date published: 2020
- Descrição física: xii, 208 p
- ISBN: 9781786615077 (cloth)
-
ABNT
MARTINS, Andre Cavalcanti Rocha. Arguments, cognition, and science: consequences of probabilistic induction in science. . London: Rowman & Littlefield International. . Acesso em: 27 dez. 2025. , 2020 -
APA
Martins, A. C. R. (2020). Arguments, cognition, and science: consequences of probabilistic induction in science. London: Rowman & Littlefield International. -
NLM
Martins ACR. Arguments, cognition, and science: consequences of probabilistic induction in science. 2020 ;[citado 2025 dez. 27 ] -
Vancouver
Martins ACR. Arguments, cognition, and science: consequences of probabilistic induction in science. 2020 ;[citado 2025 dez. 27 ] - Extremism definitions in opinion dynamics models
- A amputação e outros contos
- Probability biases as Bayesian inference
- Deception and convergence of opinions
- A middle option for choices in the continuous opinions and discrete actions model
- Trust in the CODA model: Opinion dynamics and the reliability of other agents
- Ideologically motivated biases in a multiple issues opinion model
- Senescence, change, and competition: when the desire to pick one model harms our understanding
- Replication in the deception and convergence of opinions problem
- Preto ou branco: simulações em computador explicam como opiniões opostas se disseminam na população. [Depoimento a Reinaldo José Lopes]
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