Uncertainty Treatment Using Paraconsistent Logic

In the past, control systems for automation and robotics and the expert systems employed in artificial intelligence were generally based on classical, or Boolean, logic. However, this proved to be inadequate by virtue of its binary nature, for portraying the uncertainties and inconsistencies of the...

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Những tác giả chính:	Filho, João Inácio da Silva, Lambert-Torres, Germano, Abe, Jair Minoro
Định dạng:	Sách
Ngôn ngữ:	English
Được phát hành:	IOS Press 2013
Truy cập trực tuyến:	http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35714
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id	oai:scholar.dlu.edu.vn:DLU123456789-35714
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spelling	oai:scholar.dlu.edu.vn:DLU123456789-357142014-01-19T23:35:59Z Uncertainty Treatment Using Paraconsistent Logic Filho, João Inácio da Silva Lambert-Torres, Germano Abe, Jair Minoro In the past, control systems for automation and robotics and the expert systems employed in artificial intelligence were generally based on classical, or Boolean, logic. However, this proved to be inadequate by virtue of its binary nature, for portraying the uncertainties and inconsistencies of the ‘real’ world, and so from the late 1990s, research has been ongoing into the application of paraconsistent, or non-classical logics in these fields. This book aggregates much of this research, from 1999 up to the present. Organized to facilitate an understanding of the theory and the development of the applied methods, "Uncertainty Treatment Using Praconsistent Logic" presents the material in a sequential fashion and is divided into three parts. Notions of Paraconsistent Annotated Logic (PAL) summarizes the basic theory and fundamentals of the subject. The second part, Paraconsistent Analysis Networks (PANets), describes the utilization of paraconsistent logic in constructing networks which can deal with representative data from uncertain information. The final section, Paraconsistent Artificial Neural Networks (PANNets), is composed of six chapters which chart the applications of PAL, from a comparison between Paraconsistent Analysis Nodes (PANs) and the action of the human brain through to complex PANNet architecture capable of processing signals inspired by human brain function. This invaluable state-of-the-art overview will be of interest to all those involved with the development of robotics or artificial intelligence and will serve as reference for future application of paraconsistent logics in all computer and electronic systems. 2013-10-04T01:35:00Z 2013-10-04T01:35:00Z 2010 Book 978-1-60750-558-7 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35714 en application/pdf IOS Press
institution	Thư viện Trường Đại học Đà Lạt
collection	Thư viện số
language	English
description	In the past, control systems for automation and robotics and the expert systems employed in artificial intelligence were generally based on classical, or Boolean, logic. However, this proved to be inadequate by virtue of its binary nature, for portraying the uncertainties and inconsistencies of the ‘real’ world, and so from the late 1990s, research has been ongoing into the application of paraconsistent, or non-classical logics in these fields. This book aggregates much of this research, from 1999 up to the present. Organized to facilitate an understanding of the theory and the development of the applied methods, "Uncertainty Treatment Using Praconsistent Logic" presents the material in a sequential fashion and is divided into three parts. Notions of Paraconsistent Annotated Logic (PAL) summarizes the basic theory and fundamentals of the subject. The second part, Paraconsistent Analysis Networks (PANets), describes the utilization of paraconsistent logic in constructing networks which can deal with representative data from uncertain information. The final section, Paraconsistent Artificial Neural Networks (PANNets), is composed of six chapters which chart the applications of PAL, from a comparison between Paraconsistent Analysis Nodes (PANs) and the action of the human brain through to complex PANNet architecture capable of processing signals inspired by human brain function. This invaluable state-of-the-art overview will be of interest to all those involved with the development of robotics or artificial intelligence and will serve as reference for future application of paraconsistent logics in all computer and electronic systems.
format	Book
author	Filho, João Inácio da Silva Lambert-Torres, Germano Abe, Jair Minoro
spellingShingle	Filho, João Inácio da Silva Lambert-Torres, Germano Abe, Jair Minoro Uncertainty Treatment Using Paraconsistent Logic
author_facet	Filho, João Inácio da Silva Lambert-Torres, Germano Abe, Jair Minoro
author_sort	Filho, João Inácio da Silva
title	Uncertainty Treatment Using Paraconsistent Logic
title_short	Uncertainty Treatment Using Paraconsistent Logic
title_full	Uncertainty Treatment Using Paraconsistent Logic
title_fullStr	Uncertainty Treatment Using Paraconsistent Logic
title_full_unstemmed	Uncertainty Treatment Using Paraconsistent Logic
title_sort	uncertainty treatment using paraconsistent logic
publisher	IOS Press
publishDate	2013
url	http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35714
_version_	1757677603899047936

Uncertainty Treatment Using Paraconsistent Logic

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