Topic
Abductive reasoning
About: Abductive reasoning is a research topic. Over the lifetime, 1917 publications have been published within this topic receiving 44645 citations. The topic is also known as: abduction & abductive inference.
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01 Jan 1998
TL;DR: The paper is an attempt to summarize the previous works of the author on integrating deductive and abductive reasoning paradigms for solving the classification task and the applications for problems of the case-bnsed maintenance of rnie-based systems and for case-based refinement of neural networks are presented.
Abstract: The paper is an attempt to summarize the previous works of the author on integrating deductive and abductive reasoning paradigms for solving the classification task. A two-tiered reasoning and learning architecture in which Case-Based Reasoning (CBR) used both as a corrective of the solutions inferred by a deductive reasoning system and as a method for accumulating and refining knowledge is briefly described. As illustrative e~Amples the applications of the approach for problems of the case-bnsed maintenance of rnie-based systems and for case-based refinement of neural networks are presented.
28 Apr 2008
TL;DR: It is demonstrated in the second section that different types of normative conclusions are derivable from instrumental arguments and it is shown that it is an argument’s logical structure that determines what type of conclusion this is.
Abstract: since Aristotle it has been common among philosophers to distinguish between two fundamental types of reasoning, theoretical and practical. We do not only want to work out what is the case but also what we ought to do. This article offers a logical analysis of instrumental reasoning, which is the paradigm of practical reasoning. In the first section I discuss the major types of instrumental reasoning and show why the accounts of most authors are defective. On the basis of this discussion, I demonstrate in the second section that different types of normative conclusions are derivable from instrumental arguments and I show that it is an argument’s logical structure that determines what type of conclusion this is.
TL;DR: In this paper , the authors introduce abduction as a way to broaden traditional need finding methods to account for the dimensionality of user needs by integrating various traditional need-finding theories using design knowledge to isolate the latent need.
Abstract: Abstract Prior research has shown the importance of latent user needs for enabling innovation in early product development phases. The success of a product is largely dependent on to what extent the product satisfies customer needs, and latent user needs play a significant role in impacting the way the product or service unexpectedly delights the user. Complications arise because traditional need finding methods are not able to account for the nuances of latent user needs. A user's need is multidimensional while traditional methods are built on deductive reasoning. The traditional method isolates parts of the user's needs, only pointing to what is deducible within its search space. To address this, we introduce abduction as a way to broaden traditional need finding methods. From a logic based argument it is shown that abduction accounts for the dimensionality of user needs by integrating various traditional need finding theories using design knowledge to isolate the latent need. This theoretical development shows that latent need finding must go beyond a deductive focus, to developing methods that are able to conjecture with the deduced facts in order to abduce the latent user need.
01 Jan 2023