@article {Kakuta:March 1997:0924-8463:97,
	author = "Kakuta T.",
	author = "Haraguchi M.",
	author = "Okubo Y.",
	title = "A Goal-Dependent Abstraction for Legal Reasoning by Analogy",
	journal = "Artificial Intelligence and Law",
	volume = "5",
	year = "March 1997",
	abstract = "<P> This paper presents a new algorithm to find an appropriate similarity under which we apply legal rules analogically. Since there may exist a lot of similarities between the premises of rule and a case in inquiry, we have to select an appropriate similarity that is `relevant' to both the legal rule and a top goal of our legal reasoning. For this purpose, a new criterion to distinguish the appropriate similarities from the others is proposed and tested. The criterion is based on `Goal-Dependent Abstraction' (GDA) to select a similarity such that an abstraction based on the similarity never loses the necessary information to prove the `ground' (purpose of legislation) of the legal rule. In order to cope with our huge space of similarities, our GDA algorithm uses some constraints to prune useless similarities. </P>",
	pages = "97-118(22)",
	url = "http://www.ingentaconnect.com/content/klu/arti/1997/00000005/F0020001/00125713"
}