Commonsense Reasoning

Commonsense Reasoning
Author: Erik T. Mueller
Publsiher: Morgan Kaufmann
Total Pages: 516
Release: 2014-10-16
ISBN 10: 9780128014165
ISBN 13: 0128014164
Language: EN, FR, DE, ES & NL

Commonsense Reasoning Book Review:

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 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 that span many areas of the commonsense world. The Second Edition features new chapters on commonsense reasoning using unstructured information including the Watson system, commonsense reasoning using answer set programming, and techniques for acquisition of commonsense knowledge including crowdsourcing. Drawing upon years of practical experience and using numerous examples and illustrative applications Erik Mueller shows you the keys to mastering commonsense reasoning. You'll be able to: Understand techniques for automated commonsense reasoning Incorporate commonsense reasoning into software solutions Acquire a broad understanding of the field of commonsense reasoning. Gain comprehensive knowledge of the human capacity for commonsense reasoning

Commonsense Reasoning

Commonsense Reasoning
Author: Erik T. Mueller
Publsiher: Elsevier
Total Pages: 432
Release: 2010-07-26
ISBN 10: 9780080476612
ISBN 13: 0080476619
Language: EN, FR, DE, ES & NL

Commonsense Reasoning Book Review:

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 2nd Edition

Commonsense Reasoning  2nd Edition
Author: Erik Mueller
Publsiher: Unknown
Total Pages: 516
Release: 2014
ISBN 10:
ISBN 13: OCLC:1105778012
Language: EN, FR, DE, ES & NL

Commonsense Reasoning 2nd Edition Book Review:

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 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 that span many areas of the commonsense world. The Second Edition features new chapters on commonsense reasoning using unstructured information including the Watson system, commonsense reasoning using answer set programming, and techniques for acquisition of commonsense knowledge including crowdsourcing. Understand techniques for automated commonsense reasoning Incorporate commonsense reasoning into software solutions Acquire a broad understanding of the field of commonsense reasoning Gain comprehensive knowledge of the human capacity for commonsense reasoning.

Commonsense Reasoning Via Product State Spaces

Commonsense Reasoning Via Product State Spaces
Author: Maricarmen Martinez
Publsiher: Unknown
Total Pages: 554
Release: 2004
ISBN 10:
ISBN 13: IND:30000094865130
Language: EN, FR, DE, ES & NL

Commonsense Reasoning Via Product State Spaces Book Review:

Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems

Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems
Author: Naidenova, Xenia
Publsiher: IGI Global
Total Pages: 367
Release: 2012-07-31
ISBN 10: 1466619015
ISBN 13: 9781466619012
Language: EN, FR, DE, ES & NL

Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems Book Review:

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 this unique knowledge-sharing resources which will serve as a forum for future collaborations.

Common Sense Reasoning and Rationality

Common Sense  Reasoning  and Rationality
Author: Renée Elio
Publsiher: Oxford University Press on Demand
Total Pages: 278
Release: 2002
ISBN 10: 0195147669
ISBN 13: 9780195147667
Language: EN, FR, DE, ES & NL

Common Sense Reasoning and Rationality Book Review:

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.

Common Sense Reasoning Rationality

Common Sense  Reasoning    Rationality
Author: Renée Elio
Publsiher: Oxford University Press on Demand
Total Pages: 278
Release: 2002
ISBN 10: 9780195147674
ISBN 13: 0195147677
Language: EN, FR, DE, ES & NL

Common Sense Reasoning Rationality Book Review:

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.

Machine Learning Methods for Commonsense Reasoning Processes Interactive Models

Machine Learning Methods for Commonsense Reasoning Processes  Interactive Models
Author: Naidenova, Xenia
Publsiher: IGI Global
Total Pages: 424
Release: 2009-10-31
ISBN 10: 1605668117
ISBN 13: 9781605668116
Language: EN, FR, DE, ES & NL

Machine Learning Methods for Commonsense Reasoning Processes Interactive Models Book Review:

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.

On Commonsense Reasoning

On Commonsense Reasoning
Author: Mary-Anne Williams
Publsiher: Unknown
Total Pages: 159
Release: 2001
ISBN 10:
ISBN 13: OCLC:313630461
Language: EN, FR, DE, ES & NL

On Commonsense Reasoning Book Review:

The Phenomenon of Commonsense Reasoning

The Phenomenon of Commonsense Reasoning
Author: Dimitrios Thanassas
Publsiher: Ellis Horwood Limited
Total Pages: 254
Release: 1992
ISBN 10:
ISBN 13: UOM:39015029153353
Language: EN, FR, DE, ES & NL

The Phenomenon of Commonsense Reasoning Book Review:

Dispositional Logic and Commonsense Reasoning

Dispositional Logic and Commonsense Reasoning
Author: Lotfi Asker Zadeh
Publsiher: Unknown
Total Pages: 22
Release: 1988
ISBN 10:
ISBN 13: STANFORD:36105020935016
Language: EN, FR, DE, ES & NL

Dispositional Logic and Commonsense Reasoning Book Review:

Commonsense Reasoning about Social Dynamics in Text

Commonsense Reasoning about Social Dynamics in Text
Author: Hannah Rashkin
Publsiher: Unknown
Total Pages: 112
Release: 2020
ISBN 10:
ISBN 13: OCLC:1196373955
Language: EN, FR, DE, ES & NL

Commonsense Reasoning about Social Dynamics in Text Book Review:

When humans interact with each other (e.g., having conversations, sharing stories, etc.), they are able to reason more deeply about social implications in order to better understand each other and have more productive interactions. For example, when hearing someone else discuss a personal story, most people are able to think about the consequences of various events, anticipate the feelings of their conversation partner, and respond accordingly. Reasoning about social relationships in text is natural for most people, but is challenging for natural language processing models, in part because these relationships are often subtle, nuanced, and implicit. Training models for this type of inference is additionally challenging due to a lack of designated tasks, resources, and modelling frameworks specifically designed for this type of social commonsense reasoning. We approach this problem by designing new focused tasks and resources specifically aimed towards types of social reasoning. We also introduce new modeling frameworks to learn to integrate social inferences with downstream tasks such as story and dialogue generation. First, we investigate reasoning about social dynamics of characters and actions within stories. We create a new benchmark for reasoning about character mental state based on story events. We demonstrate that this type of reasoning is challenging even for state-of-the-art language understanding models. We also introduce plot dynamics as part of a new modeling framework for story generation. Our results indicate that tracking plot state and integrating discourse features are beneficial for writing tighter narratives. We also explore two types of reasoning about a speaker (e.g., a writer of a piece of text, a conversation partner, or so on) based on what they have said or written. We present connotation frames, a novel formalism for measuring connotative relationships implicit in the text that imply the writer’s underlying message. We create a connotation frames lexicon, which may be useful in tasks like detecting implied stance, bias, or subtle meaning intended by a writer. Lastly, we investigate reasoning about a speaker in the dialogue setting by exploring the challenges of creating empathetic responses to a conversation partner. We introduce the task of empathetic response generation and a new dataset for training dialogue models to generate responses that are more empathetic and socially aware of a conversation partner’s feelings.

Integrating Rules and Connectionism for Robust Commonsense Reasoning

Integrating Rules and Connectionism for Robust Commonsense Reasoning
Author: Ron Sun
Publsiher: Wiley-Interscience
Total Pages: 273
Release: 1994-02-21
ISBN 10:
ISBN 13: UOM:39015032918230
Language: EN, FR, DE, ES & NL

Integrating Rules and Connectionism for Robust Commonsense Reasoning Book Review:

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.

Commonsense Reasoning in Control Systems

Commonsense Reasoning in Control Systems
Author: Lui Kim Man
Publsiher: Unknown
Total Pages: 114
Release: 1993
ISBN 10:
ISBN 13: OCLC:775690574
Language: EN, FR, DE, ES & NL

Commonsense Reasoning in Control Systems Book Review:

Non monotonic Reasoning

Non monotonic Reasoning
Author: Witold Łukaszewicz
Publsiher: Ellis Horwood Limited
Total Pages: 328
Release: 1990
ISBN 10:
ISBN 13: UOM:39015026938830
Language: EN, FR, DE, ES & NL

Non monotonic Reasoning Book Review:

Commonsense Reasoning and Commonsense Knowledge in Artifical Intelligence

Commonsense Reasoning and Commonsense Knowledge in Artifical Intelligence
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 2015
ISBN 10:
ISBN 13: OCLC:945513413
Language: EN, FR, DE, ES & NL

Commonsense Reasoning and Commonsense Knowledge in Artifical Intelligence Book Review:

Special Issue on Commonsense Reasoning

Special Issue on Commonsense Reasoning
Author: Mary-Anne Williams
Publsiher: Unknown
Total Pages: 329
Release: 2001
ISBN 10:
ISBN 13: OCLC:1106988961
Language: EN, FR, DE, ES & NL

Special Issue on Commonsense Reasoning Book Review:

Semantic Typology and Commonsense Reasoning

Semantic Typology and Commonsense Reasoning
Author: Anonim
Publsiher: Unknown
Total Pages: 213
Release: 1987
ISBN 10:
ISBN 13: STANFORD:36105110859274
Language: EN, FR, DE, ES & NL

Semantic Typology and Commonsense Reasoning Book Review:

Automated Commonsense Reasoning About Human Memory

Automated Commonsense Reasoning About Human Memory
Author: Anonim
Publsiher: Unknown
Total Pages: 7
Release: 2005
ISBN 10:
ISBN 13: OCLC:227910873
Language: EN, FR, DE, ES & NL

Automated Commonsense Reasoning About Human Memory Book Review:

Metacognitive reasoning in computational systems will be enabled by the development of formal theories that have broad coverage over mental states and processes as well as inferential competency. In this paper we evaluate the inferential competency of an existing formal theory of commonsense human memory by attempting to use it to validate the appropriateness of a commonsense memory strategy. We formulate a particular memory strategy (to create an associated obstacle) as a theorem in first-order predicate calculus. We then attempt to validate this strategy by showing that it is entailed by the axioms of the theory we evaluated. These axioms were encoded into the syntax of an automated reasoning system, which was used to automatically generate inferences and search for formal proofs.

On the Consistency of Commonsense Reasoning

On the Consistency of Commonsense Reasoning
Author: Donald Perlis,University of Maryland. Department of Computer Science
Publsiher: Unknown
Total Pages: 329
Release: 1986
ISBN 10:
ISBN 13: OCLC:606116045
Language: EN, FR, DE, ES & NL

On the Consistency of Commonsense Reasoning Book Review: