Abduction as a Logic and Methodology of Discovery: the Importance of Strategies
By Sami Paavola. 2004
169 citations recorded by the source corpus.
Subfields: Artificial Intelligence, History and Philosophy of Science, Philosophy
View Paper: https://www.semanticscholar.org/paper/0f3998a7c36ac0c6f095bbbc7ab82572ae011b3a
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In Artificial Intelligence
In History and Philosophy of Science
In Philosophy
Citations in the corpus
- Estimating population size of a nocturnal burrow-nesting seabird using acoustic monitoring and habitat mapping (2014, methodology): “Following the logic of abduction (Paavola 2004), the discussion section constitutes the case, i.e. we answer to our theoretical research question how habits and more formal institutions got stabilized.”
- Hansonian and Harmanian Abduction as Models of Discovery (2006, methodology): “…basic form, abduction is an inference from some constellation of curious or characteristic features (with a proviso that these features would follow from some hypothesis) to a conclusion that this kind of a hypothesis is a good candidate explanation in this specific case (Paavola 2004b, 256–57).”
- Perspective - Making Doubt Generative: Rethinking the Role of Doubt in the Research Process (2008, background): “Blind alleys are useful in gaining insight into why one avenue may not be promising, trying out new hunches as prior ones do not prove satisfactory, and assisting in generating more fertile guesses (Paavola 2004).”
- Dynamic Capabilities and Organizational Agility: Risk, Uncertainty, and Strategy in the Innovation Economy (2016, unknown): “Abduction can be seen as a mode of inference where persuasive explanations are developed for surprising (or anomalous) phenomena.(35) In contrast to inductive reasoning or sensemaking,(36) abductive reasoning uses all available data to identify coherent patterns.”