Neural-Symbolic Cognitive Reasoning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neural-Symbolic Cognitive Reasoning write by Artur S. D'Avila Garcez. This book was released on 2009. Neural-Symbolic Cognitive Reasoning available in PDF, EPUB and Kindle. This book explores why, regarding practical reasoning, humans are sometimes still faster than artificial intelligence systems. It is the first to offer a self-contained presentation of neural network models for many computer science logics.
Neural-Symbolic Learning Systems
Neural-Symbolic Learning Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neural-Symbolic Learning Systems write by Artur S. d'Avila Garcez. This book was released on 2012-12-06. Neural-Symbolic Learning Systems available in PDF, EPUB and Kindle. Artificial Intelligence is concerned with producing devices that help or replace human beings in their daily activities. Neural-symbolic learning systems play a central role in this task by combining, and trying to benefit from, the advantages of both the neural and symbolic paradigms of artificial intelligence. This book provides a comprehensive introduction to the field of neural-symbolic learning systems, and an invaluable overview of the latest research issues in this area. It is divided into three sections, covering the main topics of neural-symbolic integration - theoretical advances in knowledge representation and learning, knowledge extraction from trained neural networks, and inconsistency handling in neural-symbolic systems. Each section provides a balance of theory and practice, giving the results of applications using real-world problems in areas such as DNA sequence analysis, power systems fault diagnosis, and software requirements specifications. Neural-Symbolic Learning Systems will be invaluable reading for researchers and graduate students in Engineering, Computing Science, Artificial Intelligence, Machine Learning and Neurocomputing. It will also be of interest to Intelligent Systems practitioners and anyone interested in applications of hybrid artificial intelligence systems.
Neuro-Symbolic Artificial Intelligence: The State of the Art
Neuro-Symbolic Artificial Intelligence: The State of the Art - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neuro-Symbolic Artificial Intelligence: The State of the Art write by P. Hitzler. This book was released on 2022-01-19. Neuro-Symbolic Artificial Intelligence: The State of the Art available in PDF, EPUB and Kindle. Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two hitherto distinct approaches. ”Neuro” refers to the artificial neural networks prominent in machine learning, ”symbolic” refers to algorithmic processing on the level of meaningful symbols, prominent in knowledge representation. In the past, these two fields of AI have been largely separate, with very little crossover, but the so-called “third wave” of AI is now bringing them together. This book, Neuro-Symbolic Artificial Intelligence: The State of the Art, provides an overview of this development in AI. The two approaches differ significantly in terms of their strengths and weaknesses and, from a cognitive-science perspective, there is a question as to how a neural system can perform symbol manipulation, and how the representational differences between these two approaches can be bridged. The book presents 17 overview papers, all by authors who have made significant contributions in the past few years and starting with a historic overview first seen in 2016. With just seven months elapsed from invitation to authors to final copy, the book is as up-to-date as a published overview of this subject can be. Based on the editors’ own desire to understand the current state of the art, this book reflects the breadth and depth of the latest developments in neuro-symbolic AI, and will be of interest to students, researchers, and all those working in the field of Artificial Intelligence.
Human Reasoning and Cognitive Science
Human Reasoning and Cognitive Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Human Reasoning and Cognitive Science write by Keith Stenning. This book was released on 2012-01-13. Human Reasoning and Cognitive Science available in PDF, EPUB and Kindle. A new proposal for integrating the employment of formal and empirical methods in the study of human reasoning. In Human Reasoning and Cognitive Science, Keith Stenning and Michiel van Lambalgen—a cognitive scientist and a logician—argue for the indispensability of modern mathematical logic to the study of human reasoning. Logic and cognition were once closely connected, they write, but were “divorced” in the past century; the psychology of deduction went from being central to the cognitive revolution to being the subject of widespread skepticism about whether human reasoning really happens outside the academy. Stenning and van Lambalgen argue that logic and reasoning have been separated because of a series of unwarranted assumptions about logic. Stenning and van Lambalgen contend that psychology cannot ignore processes of interpretation in which people, wittingly or unwittingly, frame problems for subsequent reasoning. The authors employ a neurally implementable defeasible logic for modeling part of this framing process, and show how it can be used to guide the design of experiments and interpret results.
Cognitive Modeling
Cognitive Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Cognitive Modeling write by Thad A. Polk. This book was released on 2002. Cognitive Modeling available in PDF, EPUB and Kindle. A comprehensive introduction to the computational modeling of human cognition.
