Commonsense Reasoning

This book PDF is perfect for those who love Computers genre, written by Erik T. Mueller and published by Elsevier which was released on 26 July 2010 with total hardcover pages 432. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Commonsense Reasoning books below.

Commonsense Reasoning
Commonsense Reasoning
Author : Erik T. Mueller
File Size : 52,5 Mb
Publisher : Elsevier
Language : English
Release Date : 26 July 2010
ISBN : 0080476619
Pages : 432 pages
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Commonsense Reasoning by Erik T. Mueller Book PDF Summary

To endow computers with common sense is one of the major long-term goals of Artificial Intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic. Commonsense Reasoning is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which Erik T. Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work promoting the use of the event calculus for commonsense reasoning, and bringing into one place information scattered across many books and papers. Mueller shares the knowledge gained in using the event calculus and extends the literature with detailed event calculus solutions to problems that span many areas of the commonsense world. Covers key areas of commonsense reasoning including action, change, defaults, space, and mental states. The first full book on commonsense reasoning to use the event calculus. Contextualizes the event calculus within the framework of commonsense reasoning, introducing the event calculus as the best method overall. Focuses on how to use the event calculus formalism to perform commonsense reasoning, while existing papers and books examine the formalisms themselves. Includes fully worked out proofs and circumscriptions for every example.

Commonsense Reasoning

Commonsense Reasoning by Erik T. Mueller

To endow computers with common sense is one of the major long-term goals of Artificial Intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic. Commonsense Reasoning is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and

Get Book
Common Sense Reasoning Rationality

Common Sense Reasoning Rationality by Renée Elio

While common sense and rationality often have been viewed as two distinct features in a unitifed cognitive map, this this volume offers novel, even paradoxical views of the relationship. Touching on various disciplines, it considers what constitutes human rationality, behavior, and intelligence.

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Common Sense Reasoning Rationality

Common Sense Reasoning Rationality by Renée Elio

While common sense and rationality have often been viewed as two distinct features in a unified cognitive map, this volume engages with this notion and comes up with novel and often paradoxical views of this relationship.

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Machine Learning Methods for Commonsense Reasoning Processes Interactive Models

Machine Learning Methods for Commonsense Reasoning Processes Interactive Models by Naidenova, Xenia

This book suggests that classification is a key to human commonsense reasoning and transforms traditional considerations of data and knowledge communications, presenting an effective classification of logical rules used in the modeling of commonsense reasoning.

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Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems

Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems by Xenia Naidenova,Dmitry I. Ignatov

"This book analyzes and compares the existing and most effective algorithms for mining through logical rules and shows how these approaches use shared concepts for mining logical rules, including item, item set, transaction, frequent itemset, maximal itemset, generator (non-redundant or irredundant itemset), closed itemset, support, and confidence"--

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Automated Technology for Verification and Analysis

Automated Technology for Verification and Analysis by Franck Cassez,Jean-Francois Raskin

This book constitutes the proceedings of the 12th International Symposium on Automated Technology for Verification and Analysis, ATVA 2014, held in Sydney, Australia, in November 2014. The 29 revised papers presented in this volume were carefully reviewed and selected from 76 submissions. They show current research on theoretical and practical aspects of automated analysis,

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Representations of Commonsense Knowledge

Representations of Commonsense Knowledge by Ernest Davis

Representations of Commonsense Knowledge provides a rich language for expressing commonsense knowledge and inference techniques for carrying out commonsense knowledge. This book provides a survey of the research on commonsense knowledge. Organized into 10 chapters, this book begins with an overview of the basic ideas on artificial intelligence commonsense reasoning. This

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Integrating Rules and Connectionism for Robust Commonsense Reasoning

Integrating Rules and Connectionism for Robust Commonsense Reasoning by Ron Sun

Along with this framework, the book proposes a set of interrelated new ideas regarding the modeling of commonsense reasoning which are highly relevant to current research in AI and cognitive science and the ongoing methodological debate.

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