Patterns of abduction
Synthese 164 (2):201 - 234 (2008)
| Abstract | This article describes abductions as special patterns of inference to the best explanation whose structure determines a particularly promising abductive conjecture (conclusion) and thus serves as an abductive search strategy (Sect. 1). A classification of different patterns of abduction is provided which intends to be as complete as possible (Sect. 2). An important distinction is that between selective abductions, which choose an optimal candidate from given multitude of possible explanations (Sects. 3–4), and creative abductions, which introduce new theoretical models or concepts (Sects. 5–7). While selective abduction has dominated the literature, creative abductions are rarely discussed, although they are essential in science. The article introduces several kinds of creative abductions, such as theoretical model abduction, common cause abduction and statistical factor analysis, and illustrates them by various real case examples. It is suggested to demarcate scientifically fruitful abductions from purely speculative abductions by the criterion of causal unification (Sect. 7.1). | |||||||||
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Robert G. Burton (1999). A Neurocomputational Approach to Abduction. Minds and Machines 9 (2):257-265.
Gerhard Minnameier (2004). Peirce-Suit of Truth – Why Inference to the Best Explanation and Abduction Ought Not to Be Confused. Erkenntnis 60 (1):75-105.
P. Thagard & C. P. Shelley (1997). Abductive Reasoning: Logic, Visual Thinking, and Coherence. In [Book Chapter].
Atocha Aliseda (2007). Abductive Reasoning: Challenges Ahead. Theoria 22 (3):261-270.
Sami Paavola (2004). Abduction as a Logic and Methodology of Discovery: The Importance of Strategies. Foundations of Science 9 (3):267-283.
Michael Hoffmann (1999). Problems with Peirce's Concept of Abduction. Foundations of Science 4 (3):271-305.
Sami Paavola (2006). Hansonian and Harmanian Abduction as Models of Discovery. International Studies in the Philosophy of Science 20 (1):93 – 108.
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