@inbook{e03a7fa58b76401eb59ded95e37c4cf3,
title = "Abduction without minimality",
abstract = "In most accounts of common-sense reasoning, only the most preferred among models supplied by the evidence are retaiined (and the rest eUminated) in order to enheince the inferential prowess. One problem with this strategy is that the agent's working set of models shrinks quickly in the process. We argue that instead of rejecting all the nonbest models, the reasoner should reject only the worst models and then examine the consequences of adopting this principle in the context of abductive reasoning. Apart from providing the releveint representation results, we indicate why an iterated account of abduction is feasible in this framework.",
keywords = "Belief revision, Common-sense reasoning, Philosophical foundations",
author = "Nayak, {Abhaya C.} and Foo, {Norman Y.}",
year = "1999",
doi = "10.1007/3-540-46695-9_31",
language = "English",
isbn = "9783540668220",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Springer Nature",
pages = "365--377",
editor = "Norman Foo",
booktitle = "Advanced Topics in Artificial Intelligence",
address = "United States",
note = "12th Australian Joint Conference on Artificial Intelligence, AI 1999 ; Conference date: 06-12-1999 Through 10-12-1999",
}