"Analogical inference" is a process which proposes new conjectures about a target analogue based on facts known about a source analogue. this article formally defines this process and discusses how to efficiently guide it to the conjectures which can help to solve a given problem. experimental data, collected using a program which embodies this theory of analogy, confirms the effectiveness of these ideas.
CITATION STYLE
Greiner, R. (1988). Abstraction-Based Analogical Inference. In Analogical Reasoning (pp. 147–170). Springer Netherlands. https://doi.org/10.1007/978-94-015-7811-0_7
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