Abduction and Induction
By Peter A. Flach, A. Kakas. 2000
454 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/9439bc07b4afb0e3011e81c151caa269b935674a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Alejandro Cesar Orgambide Frery
- Antonio Alfredo Ferreira Loureiro
- Federico Castanedo
- Eduardo Freire Nakamura
In Computational Theory and Mathematics
- Alejandro Cesar Orgambide Frery
- Antonio Alfredo Ferreira Loureiro
- Federico Castanedo
- Eduardo Freire Nakamura
Citations in the corpus
- Can network analysis transform psychopathology? (2016, unknown): “Progressively sophisticated methods, combined with data from other sources, can support a causal abductive inference (Peirce, 1901/1940) or inference to the best explanation (Harman, 1965), just as they do in epidemiology.”
- A Review of Data Fusion Techniques (2013, methodology): “Abductive reasoning, or inferring the best explanation, is a reasoning method in which a hypothesis is chosen under the assumption that in case it is true, it explains the observed event most accurately [65].”
- Forage for Thought: Mobilizing Codes in the Movement for Grass-fed Meat and Dairy Products (2008, unknown): “Our analytic approach is best described as analytic abduction (Peirce, 1955), an iteration between empirical data and preexisting theoretical constructs (Snow, Morrill, and Anderson, 2003).”
- Information fusion for wireless sensor networks: Methods, models, and classifications (2007, methodology): “Abduction, or inference to the best explanation, is a reasoning method in which we choose the hypothesis that would, if true, best explain an observed evidence [Peirce 1955].”