Definition
Abduction is the task of finding an explanation for an observation with respect to the given knowledge.
Characteristics
The key principle underlying abduction is that of hypothesizing a set of facts that, together with the available knowledge, explain a specific observation. For instance, given background knowledge about flying and non-flying objects, including a rule stating that normal birds fly (\( \forall x.bird(x) \wedge normal(x) \to flies(x) \)), the observation that Tweety flies (flies(tweety)) can be explained by abducing that Tweety is a normal bird ({bird(tweety), normal(tweety)}).
More formally, given background knowledge B, a set A of abducibles (i.e., facts that can be part of explanations), and a ground fact or observation o, the task of abduction is to find an explanation for o, that is, a set of facts E⊆A such that o can be inferred from B∪E using deduction.
Similarly to induction, abduction can be seen as a form of inverted deduction. However, whereas...
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References
Flach PA, Kakas AC (2000) Abduction and induction – essays on their relation and integration. Kluwer, Dordrecht
Kakas AC, Kowalski RA, Toni F (1992) Abductive logic programming. J Log Comput 2(6):719–770
Poole D (1993) Probabilistic Horn abduction and Bayesian networks. Artif Intell 64:81–129
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Kimmig, A. (2013). Abduction. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds) Encyclopedia of Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9863-7_593
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DOI: https://doi.org/10.1007/978-1-4419-9863-7_593
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