Commonsense Reasoning

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.

Produk Detail:

  • Author : Erik T. Mueller
  • Publisher : Elsevier
  • Pages : 432 pages
  • ISBN : 9780080476612
  • Rating : 4/5 from 1 reviews
CLICK HERE TO GET THIS BOOKCommonsense Reasoning

Commonsense Reasoning

Commonsense Reasoning
  • Author : Erik T. Mueller
  • Publisher : Elsevier
  • Release : 26 July 2010
GET THIS BOOKCommonsense Reasoning

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

Commonsense Reasoning

Commonsense Reasoning
  • Author : Erik T. Mueller
  • Publisher : Morgan Kaufmann
  • Release : 11 November 2014
GET THIS BOOKCommonsense Reasoning

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: An Event Calculus Based Approach 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 Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work

Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems

Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems
  • Author : Naidenova, Xenia
  • Publisher : IGI Global
  • Release : 31 July 2012
GET THIS BOOKDiagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems

The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters, depending on the initial users' requirements and the quality of solving targeted problems in domain applications. Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and compares the most effective algorithms for mining all kinds of logical rules. Global academics and professionals in related fields have come together to create

Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models

Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models
  • Author : Naidenova, Xenia
  • Publisher : IGI Global
  • Release : 31 October 2009
GET THIS BOOKMachine Learning Methods for Commonsense Reasoning Processes: Interactive Models

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.

Common Sense, Reasoning, and Rationality

Common Sense, Reasoning, and Rationality
  • Author : Renee Elio
  • Publisher : Oxford University Press
  • Release : 07 February 2002
GET THIS BOOKCommon Sense, Reasoning, and Rationality

As the eleventh volume in the New Directions in Cognitive Science series (formerly the Vancouver Studies in Cognitive Science series), this work promises superb scholarship and interdisciplinary appeal. It addresses three areas of current and varied interest: common sense, reasoning, and rationality. While common sense and rationality often have been viewed as two distinct features in a unified cognitive map, this volume offers novel, even paradoxical, views of the relationship. Comprised of outstanding essays from distinguished philosophers, it considers what

Automated Technology for Verification and Analysis

Automated Technology for Verification and Analysis
  • Author : Franck Cassez,Jean-Francois Raskin
  • Publisher : Springer
  • Release : 24 October 2014
GET THIS BOOKAutomated Technology for Verification and Analysis

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, verification and synthesis by providing an international forum for interaction among the researchers in academia and industry.

The Dynamics of Judicial Proof

The Dynamics of Judicial Proof
  • Author : Marilyn MacCrimmon,Peter Tillers
  • Publisher : Physica
  • Release : 06 December 2012
GET THIS BOOKThe Dynamics of Judicial Proof

Fact finding in judicial proceedings is a dynamic process. This collection of papers considers whether computational methods or other formal logical methods developed in disciplines such as artificial intelligence, decision theory, and probability theory can facilitate the study and management of dynamic evidentiary and inferential processes in litigation. The papers gathered here have several epicenters, including (i) the dynamics of judicial proof, (ii) the relationship between artificial intelligence or formal analysis and "common sense," (iii) the logic of factual inference,

Neural Network Perspectives on Cognition and Adaptive Robotics

Neural Network Perspectives on Cognition and Adaptive Robotics
  • Author : A Browne
  • Publisher : CRC Press
  • Release : 20 August 2019
GET THIS BOOKNeural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to the modeling of human cognition and language using neural computing techniques. It also describes how adaptive robotic systems can be produced using neural network architectures. Covering a wide range of mainstream area and trends, each chapter provides the latest information from a different perspective.

Advances in Artificial Intelligence and Data Engineering

Advances in Artificial Intelligence and Data Engineering
  • Author : Niranjan N. Chiplunkar,Takanori Fukao
  • Publisher : Springer Nature
  • Release : 13 August 2020
GET THIS BOOKAdvances in Artificial Intelligence and Data Engineering

This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval,

Machine Learning: Concepts, Methodologies, Tools and Applications

Machine Learning: Concepts, Methodologies, Tools and Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 31 July 2011
GET THIS BOOKMachine Learning: Concepts, Methodologies, Tools and Applications

"This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe

Representations of Commonsense Knowledge

Representations of Commonsense Knowledge
  • Author : Ernest Davis
  • Publisher : Morgan Kaufmann
  • Release : 10 July 2014
GET THIS BOOKRepresentations of Commonsense Knowledge

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 text then examines the structure of logic, which is roughly analogous to that of a programming language. Other chapters describe how rules of universal validity can be applied to facts

Database and Expert Systems Applications

Database and Expert Systems Applications
  • Author : Dimitris Karagiannis
  • Publisher : Springer Science & Business Media
  • Release : 11 November 2013
GET THIS BOOKDatabase and Expert Systems Applications

The Database and Expert Systems Applications - DEXA - conferences are dedi cated to providing an international forum for the presentation of applications in the database and expert systems field, for the exchange of ideas and experiences, and for defining requirements for the future systems in these fields. After the very promising DEXA 90 in Vienna, Austria, we hope to have successfully established wjth this year's DEXA 91 a stage where scientists from diverse fields interested in application-oriented research can present and