Abductive networks

Gerard J. Montgomery; Keith C. Drake

doi:10.1117/12.21156

1 August 1990 Abductive networks

Gerard J. Montgomery, Keith C. Drake

Proceedings Volume 1294, Applications of Artificial Neural Networks; (1990) https://doi.org/10.1117/12.21156
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

Is the process of inferring facts using neural networks a unique form of reasoning? Is there really a different type of reasoning separate and distinct from deduction and induction? Does there exist a single fundamental form of inference for reasoning symbolically, qualitatively, quantitatively, possibilistically (about "fuzzy" concepts), and probabilistically? YES, it is called abduction. This paper presents abduction and abductory induction. Abduction not only classifies the distinct type of reasoning performed when neural networks are applied, but gives a logical framework for expanding current neural network research to include network concepts not constrained by neuron analogies. These networks are called abductive networks. In describing abductive networks, this paper unveils the true source of the "power" of networks of functional elements. A practical machine learning tool for synthesizing abductive networks from databases of examples, called the Abductory Induction Mechanism (AIMTM), is also presented.

Citation Download Citation

Gerard J. Montgomery and Keith C. Drake "Abductive networks", Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); https://doi.org/10.1117/12.21156

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available